AI Research News Feeds for December 23rd, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• AC4: Algebraic Computation Checker for Circuit Constraints in ZKPs
• Q-KVComm: Efficient Multi-Agent Communication Via Adaptive KV Cache Compression
• CoPE: A Small Language Model for Steerable and Scalable Content Labeling
• Statistical laws and linguistics inform meaning in naturalistic and fictional conversation
• Training LLMs with LogicReward for Faithful and Rigorous Reasoning
• GeoSense-AI: Fast Location Inference from Crisis Microblogs
• InstructNet: A Novel Approach for Multi-Label Instruction Classification through Advanced Deep Learning
• CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher
• LIR$^3$AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation
• Towards Efficient Agents: A Co-Design of Inference Architecture and System
• DACE For Railway Acronym Disambiguation
• SRS-Stories: Vocabulary-constrained multilingual story generation for language learning
• Teaching and Critiquing Conceptualization and Operationalization in NLP
• LLMs on Drugs: Language Models Are Few-Shot Consumers
• Neologism Learning as a Parameter-Efficient Alternative to Fine-Tuning for Model Steering
• On Finding Inconsistencies in Documents
• A Comparative Study of Light-weight Language Models for PII Masking and their Deployment for Real Conversational Texts
• Does It Tie Out? Towards Autonomous Legal Agents in Venture Capital
• Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design
• MemEvolve: Meta-Evolution of Agent Memory Systems
• From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure
• From Word to World: Can Large Language Models be Implicit Text-based World Models?
• AraMix: Recycling, Refiltering, and Deduplicating to Deliver the Largest Arabic Pretraining Corpus
• MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models
• Toward Human-Centered AI-Assisted Terminology Work
• Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations
• FASTRIC: Prompt Specification Language for Verifiable LLM Interactions
• DramaBench: A Six-Dimensional Evaluation Framework for Drama Script Continuation
• A Large Language Model Based Method for Complex Logical Reasoning over Knowledge Graphs
• Stop saying LLM: Large Discourse Models (LDM) and Artificial Discursive Agent (ADA)?
• AWPO: Enhancing Tool-Use of Large Language Models through Explicit Integration of Reasoning Rewards
• QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation
• From Speech to Subtitles: Evaluating ASR Models in Subtitling Italian Television Programs
• JEPA-Reasoner: Decoupling Latent Reasoning from Token Generation
• CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation
• CienaLLM: Generative Climate-Impact Extraction from News Articles with Autoregressive LLMs
• HATS: High-Accuracy Triple-Set Watermarking for Large Language Models
• Kunnafonidilaw ka Cadeau: an ASR dataset of present-day Bambara
• CodeSimpleQA: Scaling Factuality in Code Large Language Models
• MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive, and MCP-Augmented Environments
• SiamGPT: Quality-First Fine-Tuning for Stable Thai Text Generation
• A Large-Language-Model Framework for Automated Humanitarian Situation Reporting
• Event Extraction in Large Language Model
• Algerian Dialect
• Increasing the Thinking Budget is Not All You Need
• MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery
• Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands M\=aori
• Exploring Zero-Shot ACSA with Unified Meaning Representation in Chain-of-Thought Prompting
• GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
• Layout-Aware Text Editing for Efficient Transformation of Academic PDFs to Markdown
• Distributed Asymmetric Allocation: A Topic Model for Large Imbalanced Corpora in Social Sciences
• Investigating Spatial Attention Bias in Vision-Language Models
• Measuring Fine-Grained Negotiation Tactics of Humans and LLMs in Diplomacy
• Explainable Transformer-CNN Fusion for Noise-Robust Speech Emotion Recognition
• brat: Aligned Multi-View Embeddings for Brain MRI Analysis
• Merge on workspaces as Hopf algebra Markov chain
• Affordance RAG: Hierarchical Multimodal Retrieval with Affordance-Aware Embodied Memory for Mobile Manipulation
• Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
• BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation
• From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructions
• Epistemological Fault Lines Between Human and Artificial Intelligence
• Structured Language Generation Model: Loss Calibration and Formatted Decoding for Robust Structure Prediction and Knowledge Retrieval
• Label Words as Local Task Vectors in In-Context Learning
• PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image-Text Retrieval
• Task Vector in TTS: Toward Emotionally Expressive Dialectal Speech Synthesis
• Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
• InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search
• Eff-GRot: Efficient and Generalizable Rotation Estimation with Transformers
• RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization
• Application of deep learning approaches for medieval historical documents transcription
• On Conditional Stochastic Interpolation for Generative Nonlinear Sufficient Dimension Reduction
• CETCAM: Camera-Controllable Video Generation via Consistent and Extensible Tokenization
• Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms
• On Cost-Aware Sequential Hypothesis Testing with Random Costs and Action Cancellation
• Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges
• Explicit and Non-asymptotic Query Complexities of Rank-Based Zeroth-order Algorithm on Stochastic Smooth Functions
• SAP: Syntactic Attention Pruning for Transformer-based Language Models
• Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
• Finite-sample guarantees for data-driven forward-backward operator methods
• PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
• Self-Consistent Probability Flow for High-Dimensional Fokker-Planck Equations
• Translating Flow to Policy via Hindsight Online Imitation
• GShield: Mitigating Poisoning Attacks in Federated Learning
• Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
• Faster Distributed Inference-Only Recommender Systems via Bounded Lag Synchronous Collectives
• Cluster-Based Generalized Additive Models Informed by Random Fourier Features
• A Critical Assessment of Pattern Comparisons Between POD and Autoencoders in Intraventricular Flows
• Real-Time Streamable Generative Speech Restoration with Flow Matching
• GLUE: Generative Latent Unification of Expertise-Informed Engineering Models
• Active Convolved Illumination with Deep Transfer Learning for Complex Beam Transmission through Atmospheric Turbulence
• Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
• Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning
• Neural Exploitation and Exploration of Contextual Bandits
• Anti-Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances in Flat Directions
• HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
• Averaging $n$-step Returns Reduces Variance in Reinforcement Learning
• IT Intrusion Detection Using Statistical Learning and Testbed Measurements
• Continuum Attention for Neural Operators
• A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
• Equivariant Polynomial Functional Networks
• PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems
• Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning
• Variational Online Mirror Descent for Robust Learning in Schr\"odinger Bridge
• Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier
• Training robust and generalizable quantum models
• Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems
• Is Your Conditional Diffusion Model Actually Denoising?
• Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning
• Label-Informed Outlier Detection Based on Granule Density
• Generative Modeling through Spectral Analysis of Koopman Operator
• Merging of Kolmogorov-Arnold networks trained on disjoint datasets
• The Ensemble Schr{\"o}dinger Bridge filter for Nonlinear Data Assimilation
• DPSR: Differentially Private Sparse Reconstruction via Multi-Stage Denoising for Recommender Systems
• Learning Through Little Eyes: Attribute Discrimination Beyond Objects
• Scaling Online Distributionally Robust Reinforcement Learning: Sample-Efficient Guarantees with General Function Approximation
• Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling
• Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets
• Outlier detection in mixed-attribute data: a semi-supervised approach with fuzzy approximations and relative entropy
• OPBO: Order-Preserving Bayesian Optimization
• Optimizer Dynamics at the Edge of Stability with Differential Privacy
• A Surrogate-Augmented Symbolic CFD-Driven Training Framework for Accelerating Multi-objective Physical Model Development
• Time-series Forecast for Indoor Zone Air Temperature with Long Horizons: A Case Study with Sensor-based Data from a Smart Building
• Efficient Personalization of Generative Models via Optimal Experimental Design
• Dual Model Deep Learning for Alzheimer Prognostication
• Timely Parameter Updating in Over-the-Air Federated Learning
• A Composable Channel-Adaptive Architecture for Seizure Classification
• A Convex Loss Function for Set Prediction with Optimal Trade-offs Between Size and Conditional Coverage
• RP-CATE: Recurrent Perceptron-based Channel Attention Transformer Encoder for Industrial Hybrid Modeling
• Causal Heterogeneous Graph Learning Method for Chronic Obstructive Pulmonary Disease Prediction
• Phase-space entropy at acquisition reflects downstream learnability
• Regression generation adversarial network based on dual data evaluation strategy for industrial application
• From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis
• Small Language Models as Compiler Experts: Auto-Parallelization for Heterogeneous Systems
• Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring
• A Logical View of GNN-Style Computation and the Role of Activation Functions
• Interpretable Hybrid Deep Q-Learning Framework for IoT-Based Food Spoilage Prediction with Synthetic Data Generation and Hardware Validation
• From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples
• Real-Time Machine Learning for Embedded Anomaly Detection
• Brain-Grounded Axes for Reading and Steering LLM States
• Symplectic Reservoir Representation of Legendre Dynamics
• An Inverse Scattering Inspired Fourier Neural Operator for Time-Dependent PDE Learning
• Binary Kernel Logistic Regression: a sparsity-inducing formulation and a convergent decomposition training algorithm
• Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
• Learning from sanctioned government suppliers: A machine learning and network science approach to detecting fraud and corruption in Mexico
• Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
• Initialization of a Polyharmonic Cascade, Launch and Testing
• Deep Learning for Unrelated-Machines Scheduling: Handling Variable Dimensions
• DFORD: Directional Feedback based Online Ordinal Regression Learning
• KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
• The Best of Both Worlds: Hybridizing Neural Operators and Solvers for Stable Long-Horizon Inference
• Deep Legendre Transform
• Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset
• QAISim: A Toolkit for Modeling and Simulation of AI in Quantum Cloud Computing Environments
• A curated UK rain radar data set for training and benchmarking nowcasting models
• chatter: a Python library for applying information theory and AI/ML models to animal communication
• Risk-Aware Financial Forecasting Enhanced by Machine Learning and Intuitionistic Fuzzy Multi-Criteria Decision-Making
• SCS-SupCon: Sigmoid-based Common and Style Supervised Contrastive Learning with Adaptive Decision Boundaries
• Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler
• MEGState: Phoneme Decoding from Magnetoencephalography Signals
• Enhancing Tea Leaf Disease Recognition with Attention Mechanisms and Grad-CAM Visualization
• Shuttling Compiler for Trapped-Ion Quantum Computers Based on Large Language Models
• Long-range electrostatics for machine learning interatomic potentials is easier than we thought
• NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
• Narrative Consolidation: Formulating a New Task for Unifying Multi-Perspective Accounts
• Approximation and learning with compositional tensor trains
• Graph-based Nearest Neighbors with Dynamic Updates via Random Walks
• Causal Inference as Distribution Adaptation: Optimizing ATE Risk under Propensity Uncertainty
• From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
• Exploring polymer classification with a hybrid single-photon quantum approach
• Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs
• Estimating Solvation Free Energies with Boltzmann Generators
• Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
• Dimensionality Reduction Considered Harmful (Some of the Time)
• AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation
• CrystalFormer-CSP: Thinking Fast and Slow for Crystal Structure Prediction
• A two-stream network with global-local feature fusion for bone age assessment
• Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance
• PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior
• Automated Mosaic Tesserae Segmentation via Deep Learning Techniques
• Research on a hybrid LSTM-CNN-Attention model for text-based web content classification
• NASTaR: NovaSAR Automated Ship Target Recognition Dataset
• Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence
• Generalization Gaps in Political Fake News Detection: An Empirical Study on the LIAR Dataset
• Scaling up Stability: Reinforcement Learning for Distributed Control of Networked Systems in the Space of Stabilizing Policies
• An Exploration of Default Images in Text-to-Image Generation
• Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
• Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live
• Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network
• Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
• Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams
• The Universe Learning Itself: On the Evolution of Dynamics from the Big Bang to Machine Intelligence
• Microsoft Academic Graph Information Retrieval for Research Recommendation and Assistance
• What's the Price of Monotonicity? A Multi-Dataset Benchmark of Monotone-Constrained Gradient Boosting for Credit PD
• MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar Movements
• FedOAED: Federated On-Device Autoencoder Denoiser for Heterogeneous Data under Limited Client Availability
• Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models
• Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
• Microstructure-based Variational Neural Networks for Robust Uncertainty Quantification in Materials Digital Twins
• Learning Generalizable Neural Operators for Inverse Problems
• TraCeR: Transformer-Based Competing Risk Analysis with Longitudinal Covariates
• Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
• FairExpand: Individual Fairness on Graphs with Partial Similarity Information
• On the Convergence Rate of LoRA Gradient Descent
• LeJOT: An Intelligent Job Cost Orchestration Solution for Databricks Platform
• FedSUM Family: Efficient Federated Learning Methods under Arbitrary Client Participation
• Towards Guided Descent: Optimization Algorithms for Training Neural Networks At Scale
• The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?
• Why Most Optimism Bandit Algorithms Have the Same Regret Analysis: A Simple Unifying Theorem
• MoE Pathfinder: Trajectory-driven Expert Pruning
• On the Universality of Transformer Architectures; How Much Attention Is Enough?
• NOVA: Discovering Well-Conditioned Winograd Transforms through Numerical Optimization of Vandermonde Arithmetic
• Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs
• The Geometry of Abstraction: Continual Learning via Recursive Quotienting
• APC-GNN++: An Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability for Diabetes Classification
• Feature-Enhanced Graph Neural Networks for Classification of Synthetic Graph Generative Models: A Benchmarking Study
• Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
• SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models
• Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows
• EIA-SEC: Improved Actor-Critic Framework for Multi-UAV Collaborative Control in Smart Agriculture
• Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning
• The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss
• From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
• Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
• Improving Pattern Recognition of Scheduling Anomalies through Structure-Aware and Semantically-Enhanced Graphs
• Generating Risky Samples with Conformity Constraints via Diffusion Models
• ML Inference Scheduling with Predictable Latency
• A Theoretical Lens for RL-Tuned Language Models via Energy-Based Models
• ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models
• Auto-Prompting with Retrieval Guidance for Frame Detection in Logistics
• Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
• Is Visual Realism Enough? Evaluating Gait Biometric Fidelity in Generative AI Human Animation
• Digital Twin-Driven Zero-Shot Fault Diagnosis of Axial Piston Pumps Using Fluid-Borne Noise Signals
• Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
• MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture
• MAGIC: Achieving Superior Model Merging via Magnitude Calibration
• Alternative positional encoding functions for neural transformers
• Sprecher Networks: A Parameter-Efficient Kolmogorov-Arnold Architecture
• OmniMER: Indonesian Multimodal Emotion Recognition via Auxiliary-Enhanced LLM Adaptation
• DSTED: Decoupling Temporal Stabilization and Discriminative Enhancement for Surgical Workflow Recognition
• Research Program: Theory of Learning in Dynamical Systems
• Attention Is Not What You Need
• MT-Mark: Rethinking Image Watermarking via Mutual-Teacher Collaboration with Adaptive Feature Modulation
• Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations
• Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
• A Dataset and Preliminary Study of Using GPT-5 for Code-change Impact Analysis
• Kolmogorov-Arnold Graph Neural Networks Applied to Inorganic Nanomaterials Dataset
• DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast
• Anatomy-R1: Enhancing Anatomy Reasoning in Multimodal Large Language Models via Anatomical Similarity Curriculum and Group Diversity Augmentation
• LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
• Learning Continuous Solvent Effects from Transient Flow Data: A Graph Neural Network Benchmark on Catechol Rearrangement
• CASA: Cross-Attention via Self-Attention for Efficient Vision-Language Fusion
• CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal
• BabyFlow: 3D modeling of realistic and expressive infant faces
• REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation
• Results of the 2024 CommonRoad Motion Planning Competition for Autonomous Vehicles
• Owning the Intelligence: Global AI Patents Landscape and Europe's Quest for Technological Sovereignty
• The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge
• LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller
• MapTrace: Scalable Data Generation for Route Tracing on Maps
• Exploring the features used for summary evaluation by Human and GPT
• Clustering with Label Consistency
• Beyond CLIP: Knowledge-Enhanced Multimodal Transformers for Cross-Modal Alignment in Diabetic Retinopathy Diagnosis
• Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
• WorldWarp: Propagating 3D Geometry with Asynchronous Video Diffusion
• Feature-Guided Metaheuristic with Diversity Management for Solving the Capacitated Vehicle Routing Problem
• TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
• FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI
• Neural Decoding of Overt Speech from ECoG Using Vision Transformers and Contrastive Representation Learning
• PDE-Agent: A toolchain-augmented multi-agent framework for PDE solving
• Scaling Laws for Energy Efficiency of Local LLMs
• Dual Computational Horizons: Incompleteness and Unpredictability in Intelligent Systems
• Discovering and Learning Probabilistic Models of Black-Box AI Capabilities
• Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation
• CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs
• ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
• Graph Transformers: A Survey
• Generative Retrieval with Few-shot Indexing
• Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
• Automatic Detection of LLM-Generated Code: A Comparative Case Study of Contemporary Models Across Function and Class Granularities
• AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
• Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision
• What Human-Horse Interactions may Teach us About Effective Human-AI Interactions
• GSRender: Deduplicated Occupancy Prediction via Weakly Supervised 3D Gaussian Splatting
• Self-organizing maps for water quality assessment in reservoirs and lakes: A systematic literature review
• SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
• Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation
• PlantDiseaseNet-RT50: A Fine-tuned ResNet50 Architecture for High-Accuracy Plant Disease Detection Beyond Standard CNNs
• GTMA: Dynamic Representation Optimization for OOD Vision-Language Models
• The Illusion of Consistency: Selection-Induced Bias in Gated Kalman Innovation Statistics
• Prediction and Forecast of Short-Term Drought Impacts Using Machine Learning to Support Mitigation and Adaptation Efforts
• A Formal Descriptive Language for Learning Dynamics: A Five-Layer Structural Coordinate System
• Detection of AI Generated Images Using Combined Uncertainty Measures and Particle Swarm Optimised Rejection Mechanism
• SecureCode v2.0: A Production-Grade Dataset for Training Security-Aware Code Generation Models
• Toward Training Superintelligent Software Agents through Self-Play SWE-RL
• Enhancing Medical Large Vision-Language Models via Alignment Distillation
• Adaptive Accountability in Networked MAS: Tracing and Mitigating Emergent Norms at Scale
• AI Code in the Wild: Measuring Security Risks and Ecosystem Shifts of AI-Generated Code in Modern Software
• Placenta Accreta Spectrum Detection Using an MRI-based Hybrid CNN-Transformer Model
• Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
• From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation
• The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation
• Text2Graph VPR: A Text-to-Graph Expert System for Explainable Place Recognition in Changing Environments
• PTTA: A Pure Text-to-Animation Framework for High-Quality Creation
• DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System
• A Multi-agent Text2SQL Framework using Small Language Models and Execution Feedback
• LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction
• ARC: Leveraging Compositional Representations for Cross-Problem Learning on VRPs
• Geometric-Photometric Event-based 3D Gaussian Ray Tracing
• Remoe: Towards Efficient and Low-Cost MoE Inference in Serverless Computing
• Fusion of Multiscale Features Via Centralized Sparse-attention Network for EEG Decoding
• CauTraj: A Causal-Knowledge-Guided Framework for Lane-Changing Trajectory Planning of Autonomous Vehicles
• Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
• $M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models
• PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation
• IPCV: Information-Preserving Compression for MLLM Visual Encoders
• Code2Doc: A Quality-First Curated Dataset for Code Documentation
• Smark: A Watermark for Text-to-Speech Diffusion Models via Discrete Wavelet Transform
• Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs
• FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation
• Controllable Probabilistic Forecasting with Stochastic Decomposition Layers
• Hyperbolic Graph Embeddings: a Survey and an Evaluation on Anomaly Detection
• Psychometric Validation of the Sophotechnic Mediation Scale and a New Understanding of the Development of GenAI Mastery: Lessons from 3,392 Adult Brazilian Workers
• CrashChat: A Multimodal Large Language Model for Multitask Traffic Crash Video Analysis
• Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
• Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics
• An Empirical Study of Developer-Provided Context for AI Coding Assistants in Open-Source Projects
• LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer
• When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
• Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
• Self-Attention with State-Object Weighted Combination for Compositional Zero Shot Learning
• R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression
• ICP-4D: Bridging Iterative Closest Point and LiDAR Panoptic Segmentation
• Evaluating the Challenges of LLMs in Real-world Medical Follow-up: A Comparative Study and An Optimized Framework
• Context-Aware Initialization for Reducing Generative Path Length in Diffusion Language Models
• The 6th International Verification of Neural Networks Competition (VNN-COMP 2025): Summary and Results
• Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
• IndoorUAV: Benchmarking Vision-Language UAV Navigation in Continuous Indoor Environments
• The Erasure Illusion: Stress-Testing the Generalization of LLM Forgetting Evaluation
• Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generation
• Fraud Detection Through Large-Scale Graph Clustering with Heterogeneous Link Transformation
• DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale
• HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction
• Beyond Sliding Windows: Learning to Manage Memory in Non-Markovian Environments
• Vision-Language-Policy Model for Dynamic Robot Task Planning
• Practical Quantum-Classical Feature Fusion for complex data Classification
• Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning
• On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
• MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
• Towards Minimal Fine-Tuning of VLMs
• From Pixels to Predicates Structuring urban perception with scene graphs
• Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation
• Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
• NystagmusNet: Explainable Deep Learning for Photosensitivity Risk Prediction
• Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition
• Which Coauthor Should I Nominate in My 99 ICLR Submissions? A Mathematical Analysis of the ICLR 2026 Reciprocal Reviewer Nomination Policy
• Will AI Trade? A Computational Inversion of the No-Trade Theorem
• Seeing Beyond the Scene: Analyzing and Mitigating Background Bias in Action Recognition
• Victor Calibration (VC): Multi-Pass Confidence Calibration and CP4.3 Governance Stress Test under Round-Table Orchestration
• Real-Time Human-Robot Interaction Intent Detection Using RGB-based Pose and Emotion Cues with Cross-Camera Model Generalization
• A Critical Review of Monte Carlo Algorithms Balancing Performance and Probabilistic Accuracy with AI Augmented Framework
• Convolutional-neural-operator-based transfer learning for solving PDEs
• CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
• Re-assessing the evidence for mental rotation abilities in children using computational models
• Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis
• Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
• A Hybrid Inductive-Transductive Network for Traffic Flow Imputation on Unsampled Locations
• The Subject of Emergent Misalignment in Superintelligence: An Anthropological, Cognitive Neuropsychological, Machine-Learning, and Ontological Perspective
• Seeing Justice Clearly: Handwritten Legal Document Translation with OCR and Vision-Language Models
• ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India
• Specification and Detection of LLM Code Smells
• A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients
• Securing Agentic AI Systems -- A Multilayer Security Framework
• FOODER: Real-time Facial Authentication and Expression Recognition
• Characterising Behavioural Families and Dynamics of Promotional Twitter Bots via Sequence-Based Modelling
• From Prompt to Product: A Human-Centered Benchmark of Agentic App Generation Systems
• Uncertainty-Gated Region-Level Retrieval for Robust Semantic Segmentation
• Holistic Evaluation of State-of-the-Art LLMs for Code Generation
• Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
• On Swarm Leader Identification using Probing Policies
• PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS
• When Does Learning Renormalize? Sufficient Conditions for Power Law Spectral Dynamics
• LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning
• Stable and Efficient Single-Rollout RL for Multimodal Reasoning
• Breaking Minds, Breaking Systems: Jailbreaking Large Language Models via Human-like Psychological Manipulation
• Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image
• Offline Behavioral Data Selection
• Towards Ancient Plant Seed Classification: A Benchmark Dataset and Baseline Model
• Software Vulnerability Management in the Era of Artificial Intelligence: An Industry Perspective
• TICL+: A Case Study On Speech In-Context Learning for Children's Speech Recognition
• Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks
• Evolutionary BP+OSD Decoding for Low-Latency Quantum Error Correction
• AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
• Embedded Safety-Aligned Intelligence via Differentiable Internal Alignment Embeddings
• On Efficient Adjustment in Causal Graphs
• Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
• Asynchronous Pipeline Parallelism for Real-Time Multilingual Lip Synchronization in Video Communication Systems
• Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
• Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism
• MCVI-SANet: A lightweight semi-supervised model for LAI and SPAD estimation of winter wheat under vegetation index saturation
• LLM-based Few-Shot Early Rumor Detection with Imitation Agent
• LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators
• Datasets for machine learning and for assessing the intelligence level of automatic patent search systems
• Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models
• Neural Proofs for Sound Verification and Control of Complex Systems
• AraToken: Optimizing Arabic Tokenization with Normalization Pipeline and Language Extension for Qwen3
• AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning
• Federated Learning Based Decentralized Adaptive Intelligent Transmission Protocol for Privacy Preserving 6G Networks
• VeruSAGE: A Study of Agent-Based Verification for Rust Systems
• MeniMV: A Multi-view Benchmark for Meniscus Injury Severity Grading
• An Agentic AI Framework for Training General Practitioner Student Skills
• A Distributed Hierarchical Spatio-Temporal Edge-Enhanced Graph Neural Network for City-Scale Dynamic Logistics Routing
• Snowveil: A Framework for Decentralised Preference Discovery
• Secret mixtures of experts inside your LLM
• SoK: Understanding (New) Security Issues Across AI4Code Use Cases
• Mitigating Spurious Correlations in NLI via LLM-Synthesized Counterfactuals and Dynamic Balanced Sampling
• External Hippocampus: Topological Cognitive Maps for Guiding Large Language Model Reasoning
• Sophia: A Persistent Agent Framework of Artificial Life
• MSC-180: A Benchmark for Automated Formal Theorem Proving from Mathematical Subject Classification
• Intelligent Human-Machine Partnership for Manufacturing: Enhancing Warehouse Planning through Simulation-Driven Knowledge Graphs and LLM Collaboration
• Monitoring Monitorability
• Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
• Agent-Based Output Drift Detection for Breast Cancer Response Prediction in a Multisite Clinical Decision Support System
• Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations
• Large Language Models as Discounted Bayesian Filters
• Vox Deorum: A Hybrid LLM Architecture for 4X / Grand Strategy Game AI -- Lessons from Civilization V
• ESearch-R1: Learning Cost-Aware MLLM Agents for Interactive Embodied Search via Reinforcement Learning
• Reflective Confidence: Correcting Reasoning Flaws via Online Self-Correction
• Assignment-Routing Optimization: Solvers for Problems Under Constraints
• ChronoDreamer: Action-Conditioned World Model as an Online Simulator for Robotic Planning
• ASTIF: Adaptive Semantic-Temporal Integration for Cryptocurrency Price Forecasting
• Automatic Adaptation to Concept Complexity and Subjective Natural Concepts: A Cognitive Model based on Chunking
• IntelliCode: A Multi-Agent LLM Tutoring System with Centralized Learner Modeling
• Social Comparison without Explicit Inference of Others' Reward Values: A Constructive Approach Using a Probabilistic Generative Model
• KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing
• Counterfactual Basis Extension and Representational Geometry: An MDL-Constrained Model of Conceptual Growth
• MEEA: Mere Exposure Effect-Driven Confrontational Optimization for LLM Jailbreaking
• The Dead Salmons of AI Interpretability
• HARBOR: Holistic Adaptive Risk assessment model for BehaviORal healthcare
• CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning
• Gabliteration: Adaptive Multi-Directional Neural Weight Modification for Selective Behavioral Alteration in Large Language Models
• Multimodal Bayesian Network for Robust Assessment of Casualties in Autonomous Triage
• Clustering-based Transfer Learning for Dynamic Multimodal MultiObjective Evolutionary Algorithm
• Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection
• ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management
• Recontextualization Mitigates Specification Gaming without Modifying the Specification
• Can abstract concepts from LLM improve SLM performance?
• Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning
• $\gamma(3,4)$ `Attention' in Cognitive Agents: Ontology-Free Knowledge Representations With Promise Theoretic Semantics
• Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
• Conditioning Accept-Desirability models in the context of AGM-like belief change
• FC-MIR: A Mobile Screen Awareness Framework for Intent-Aware Recommendation based on Frame-Compressed Multimodal Trajectory Reasoning
• Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis
• Can We Test Consciousness Theories on AI? Ablations, Markers, and Robustness
• Observer, Not Player: Simulating Theory of Mind in LLMs through Game Observation
• Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models
• DeliveryBench: Can Agents Earn Profit in Real World?
• Vibe Reasoning: Eliciting Frontier AI Mathematical Capabilities -- A Case Study on IMO 2025 Problem 6
• Helios: A Foundational Language Model for Smart Energy Knowledge Reasoning and Application
• SafeMed-R1: Adversarial Reinforcement Learning for Generalizable and Robust Medical Reasoning in Vision-Language Models
• VIGOR+: Iterative Confounder Generation and Validation via LLM-CEVAE Feedback Loop
• PENDULUM: A Benchmark for Assessing Sycophancy in Multimodal Large Language Models
• First-Order Representation Languages for Goal-Conditioned RL
• Learning General Policies with Policy Gradient Methods
• EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration
• An Agentic Framework for Autonomous Materials Computation
• QuantiPhy: A Quantitative Benchmark Evaluating Physical Reasoning Abilities of Vision-Language Models
• Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios
• Augmenting Intelligence: A Hybrid Framework for Scalable and Stable Explanations
• Scalably Enhancing the Clinical Validity of a Task Benchmark with Physician Oversight
• Efficient Multi-Adapter LLM Serving via Cross-Model KV-Cache Reuse with Activated LoRA
• Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
• Graph-O1 : Monte Carlo Tree Search with Reinforcement Learning for Text-Attributed Graph Reasoning
• Byzantine Fault-Tolerant Multi-Agent System for Healthcare: A Gossip Protocol Approach to Secure Medical Message Propagation
• Learning to Prioritize IT Tickets: A Comparative Evaluation of Embedding-based Approaches and Fine-Tuned Transformer Models
• KVReviver: Reversible KV Cache Compression with Sketch-Based Token Reconstruction
• Separating Constraint Compliance from Semantic Accuracy: A Novel Benchmark for Evaluating Instruction-Following Under Compression
• Inferring Latent Market Forces: Evaluating LLM Detection of Gamma Exposure Patterns via Obfuscation Testing
• Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
• Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods
• Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
• Conflict-Driven Clause Learning with VSIDS Heuristics for Discrete Facility Layout
• Faithful and Stable Neuron Explanations for Trustworthy Mechanistic Interpretability
• Rethinking Multi-Agent Intelligence Through the Lens of Small-World Networks
• Efficient Mixture-of-Agents Serving via Tree-Structured Routing, Adaptive Pruning, and Dependency-Aware Prefill-Decode Overlap
• Unifying Causal Reinforcement Learning: Survey, Taxonomy, Algorithms and Applications
• Propose, Solve, Verify: Self-Play Through Formal Verification
• NEURO-GUARD: Neuro-Symbolic Generalization and Unbiased Adaptive Routing for Diagnostics -- Explainable Medical AI
• NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework