AI Research News Feeds for December 5th, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• Efficient stereo matching on embedded GPUs with zero-means cross correlation
• Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection
• Surface-Based Visibility-Guided Uncertainty for Continuous Active 3D Neural Reconstruction
• OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
• Multimodal Markup Document Models for Graphic Design Completion
• Learning Geodesics of Geometric Shape Deformations From Images
• Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields
• A dynamic memory assignment strategy for dilation-based ICP algorithm on embedded GPUs
• Reflection Removal through Efficient Adaptation of Diffusion Transformers
• Self-Supervised Learning for Transparent Object Depth Completion Using Depth from Non-Transparent Objects
• Generative Neural Video Compression via Video Diffusion Prior
• RAMEN: Resolution-Adjustable Multimodal Encoder for Earth Observation
• Semantic-Guided Two-Stage GAN for Face Inpainting with Hybrid Perceptual Encoding
• Joint 3D Geometry Reconstruction and Motion Generation for 4D Synthesis from a Single Image
• 4DLangVGGT: 4D Language-Visual Geometry Grounded Transformer
• BulletTime: Decoupled Control of Time and Camera Pose for Video Generation
• Object Reconstruction under Occlusion with Generative Priors and Contact-induced Constraints
• Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
• Visual Reasoning Tracer: Object-Level Grounded Reasoning Benchmark
• SA-IQA: Redefining Image Quality Assessment for Spatial Aesthetics with Multi-Dimensional Rewards
• EvoIR: Towards All-in-One Image Restoration via Evolutionary Frequency Modulation
• ShadowDraw: From Any Object to Shadow-Drawing Compositional Art
• ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning
• Splannequin: Freezing Monocular Mannequin-Challenge Footage with Dual-Detection Splatting
• Light-X: Generative 4D Video Rendering with Camera and Illumination Control
• The changing surface of the world's roads
• Efficient Spatially-Variant Convolution via Differentiable Sparse Kernel Complex
• Hardware-aware Neural Architecture Search of Early Exiting Networks on Edge Accelerators
• Shared Multi-modal Embedding Space for Face-Voice Association
• From Generated Human Videos to Physically Plausible Robot Trajectories
• Towards Cross-View Point Correspondence in Vision-Language Models
• OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution
• Measuring the Unspoken: A Disentanglement Model and Benchmark for Psychological Analysis in the Wild
• E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
• MT-Depth: Multi-task Instance feature analysis for the Depth Completion
• Order Matters: 3D Shape Generation from Sequential VR Sketches
• PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling
• LaFiTe: A Generative Latent Field for 3D Native Texturing
• EMMA: Efficient Multimodal Understanding, Generation, and Editing with a Unified Architecture
• RobustSplat++: Decoupling Densification, Dynamics, and Illumination for In-the-Wild 3DGS
• LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
• FreeGen: Feed-Forward Reconstruction-Generation Co-Training for Free-Viewpoint Driving Scene Synthesis
• A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World
• Autoregressive Image Generation Needs Only a Few Lines of Cached Tokens
• Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing
• SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection
• SDG-Track: A Heterogeneous Observer-Follower Framework for High-Resolution UAV Tracking on Embedded Platforms
• You Only Train Once (YOTO): A Retraining-Free Object Detection Framework
• Equivariant Symmetry-Aware Head Pose Estimation for Fetal MRI
• ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching
• Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
• Virtually Unrolling the Herculaneum Papyri by Diffeomorphic Spiral Fitting
• LiteVGGT: Boosting Vanilla VGGT via Geometry-aware Cached Token Merging
• Towards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognition
• FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via neural Action Tokenization
• GeoPE:A Unified Geometric Positional Embedding for Structured Tensors
• Balanced Few-Shot Episodic Learning for Accurate Retinal Disease Diagnosis
• Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
• Back to Basics: Motion Representation Matters for Human Motion Generation Using Diffusion Model
• UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers
• DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance
• EgoLCD: Egocentric Video Generation with Long Context Diffusion
• VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory
• Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
• WiFi-based Cross-Domain Gesture Recognition Using Attention Mechanism
• Identity Clue Refinement and Enhancement for Visible-Infrared Person Re-Identification
• Auto3R: Automated 3D Reconstruction and Scanning via Data-driven Uncertainty Quantification
• PhyVLLM: Physics-Guided Video Language Model with Motion-Appearance Disentanglement
• Refa\c{c}ade: Editing Object with Given Reference Texture
• Detection of Intoxicated Individuals from Facial Video Sequences via a Recurrent Fusion Model
• X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale
• VideoMem: Enhancing Ultra-Long Video Understanding via Adaptive Memory Management
• Gaussian Entropy Fields: Driving Adaptive Sparsity in 3D Gaussian Optimization
• Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering
• COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence
• Dataset creation for supervised deep learning-based analysis of microscopic images - review of important considerations and recommendations
• Prompt2Craft: Generating Functional Craft Assemblies with LLMs
• TARDis: Time Attenuated Representation Disentanglement for Incomplete Multi-Modal Tumor Segmentation and Classification
• Infrared UAV Target Tracking with Dynamic Feature Refinement and Global Contextual Attention Knowledge Distillation
• SAM3-I: Segment Anything with Instructions
• Malicious Image Analysis via Vision-Language Segmentation Fusion: Detection, Element, and Location in One-shot
• Denoise to Track: Harnessing Video Diffusion Priors for Robust Correspondence
• I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Models
• Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length
• Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
• UniLight: A Unified Representation for Lighting
• Learning Single-Image Super-Resolution in the JPEG Compressed Domain
• Gamma-from-Mono: Road-Relative, Metric, Self-Supervised Monocular Geometry for Vehicular Applications
• How (Mis)calibrated is Your Federated CLIP and What To Do About It?
• Real-time Cricket Sorting By Sex
• Mind-to-Face: Neural-Driven Photorealistic Avatar Synthesis via EEG Decoding
• DisentangleFormer: Spatial-Channel Decoupling for Multi-Channel Vision
• SyncTrack4D: Cross-Video Motion Alignment and Video Synchronization for Multi-Video 4D Gaussian Splatting
• A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
• Open Set Face Forgery Detection via Dual-Level Evidence Collection
• MAFNet:Multi-frequency Adaptive Fusion Network for Real-time Stereo Matching
• FMA-Net++: Motion- and Exposure-Aware Real-World Joint Video Super-Resolution and Deblurring
• Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models
• Performance Evaluation of Transfer Learning Based Medical Image Classification Techniques for Disease Detection
• Dual-Stream Spectral Decoupling Distillation for Remote Sensing Object Detection
• UTrice: Unifying Primitives in Differentiable Ray Tracing and Rasterization via Triangles for Particle-Based 3D Scenes
• Explainable Parkinsons Disease Gait Recognition Using Multimodal RGB-D Fusion and Large Language Models
• Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation
• MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving
• StreamEQA: Towards Streaming Video Understanding for Embodied Scenarios
• GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
• dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning
• UniTS: Unified Time Series Generative Model for Remote Sensing
• DeRA: Decoupled Representation Alignment for Video Tokenization
• Not All Birds Look The Same: Identity-Preserving Generation For Birds
• Controllable Long-term Motion Generation with Extended Joint Targets
• Shift-Window Meets Dual Attention: A Multi-Model Architecture for Specular Highlight Removal
• Dual-branch Prompting for Multimodal Machine Translation
• Beyond Flicker: Detecting Kinematic Inconsistencies for Generalizable Deepfake Video Detection
• OnSight Pathology: A real-time platform-agnostic computational pathology companion for histopathology
• Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers
• Generalized Event Partonomy Inference with Structured Hierarchical Predictive Learning
• MoReGen: Multi-Agent Motion-Reasoning Engine for Code-based Text-to-Video Synthesis
• ReasonX: MLLM-Guided Intrinsic Image Decomposition
• 6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models
• MVRoom: Controllable 3D Indoor Scene Generation with Multi-View Diffusion Models
• Geschlechts\"ubergreifende Maskulina im Sprachgebrauch Eine korpusbasierte Untersuchung zu lexemspezifischen Unterschieden
• OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
• SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs
• Model Whisper: Steering Vectors Unlock Large Language Models' Potential in Test-time
• EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
• Challenging the Abilities of Large Language Models in Italian: a Community Initiative
• AdiBhashaa: A Community-Curated Benchmark for Machine Translation into Indian Tribal Languages
• DaLA: Danish Linguistic Acceptability Evaluation Guided by Real World Errors
• DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution
• Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
• SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
• LLMs Know More Than Words: A Genre Study with Syntax, Metaphor & Phonetics
• Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
• Factuality and Transparency Are All RAG Needs! Self-Explaining Contrastive Evidence Re-ranking
• Human-Centred Evaluation of Text-to-Image Generation Models for Self-expression of Mental Distress: A Dataset Based on GPT-4o
• Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
• Towards Contextual Sensitive Data Detection
• Can machines perform a qualitative data analysis? Reading the debate with Alan Turing
• Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
• Text-Only Training for Image Captioning with Retrieval Augmentation and Modality Gap Correction
• Limit cycles for speech
• Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
• Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
• Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
• The AI Consumer Index (ACE)
• Algorithmic Thinking Theory
• One-shot acceleration of transient PDE solvers via online-learned preconditioners
• On GRPO Collapse in Search-R1: The Lazy Likelihood-Displacement Death Spiral
• SQuARE: Structured Query & Adaptive Retrieval Engine For Tabular Formats
• DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
• ClusterFusion: Hybrid Clustering with Embedding Guidance and LLM Adaptation
• LangSAT: A Novel Framework Combining NLP and Reinforcement Learning for SAT Solving
• MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation
• RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
• MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection
• UW-BioNLP at ChemoTimelines 2025: Thinking, Fine-Tuning, and Dictionary-Enhanced LLM Systems for Chemotherapy Timeline Extraction
• EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion
• AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
• ADAPT: Learning Task Mixtures for Budget-Constrained Instruction Tuning
• LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
• ArterialNet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-Aware Approach
• Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling
• Beyond I-Con: Exploring New Dimension of Distance Measures in Representation Learning
• Towards an end-to-end artificial intelligence driven global weather forecasting system
• Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
• Tokenizing Buildings: A Transformer for Layout Synthesis
• Series of quasi-uniform scatterings with fast search, root systems and neural network classifications
• STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
• Shorting Dynamics and Structured Kernel Regularization
• Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
• Rethinking the Use of Vision Transformers for AI-Generated Image Detection
• Learning Causality for Longitudinal Data
• Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models
• Towards a unified framework for guided diffusion models
• Evolutionary Architecture Search through Grammar-Based Sequence Alignment
• HTR-ConvText: Leveraging Convolution and Textual Information for Handwritten Text Recognition
• Model-Free Assessment of Simulator Fidelity via Quantile Curves
• Arbitrage: Efficient Reasoning via Advantage-Aware Speculation
• QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
• Meta-Learning for Quantum Optimization via Quantum Sequence Model
• Control Consistency Losses for Diffusion Bridges
• Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction
• Structured Document Translation via Format Reinforcement Learning
• Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning
• NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation
• DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation
• Safe Online Bid Optimization with Return on Investment and Budget Constraints
• ImageNot: A contrast with ImageNet preserves model rankings
• FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
• NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks
• Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
• Educational Cone Model in Embedding Vector Spaces
• Computational Linguistics Meets Libyan Dialect: A Study on Dialect Identification
• Polynomiogram: An Integrated Framework for Root Visualization and Generative Art
• The Geometry of Benchmarks: A New Path Toward AGI
• Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer
• Plug-and-Play Image Restoration with Flow Matching: A Continuous Viewpoint
• Bayes-DIC Net: Estimating Digital Image Correlation Uncertainty with Bayesian Neural Networks
• One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises
• Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment
• AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learning
• Constructive Approximation under Carleman's Condition, with Applications to Smoothed Analysis
• Informative missingness and its implications in semi-supervised learning
• Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
• Predicting Time-Dependent Flow Over Complex Geometries Using Operator Networks
• NORi: An ML-Augmented Ocean Boundary Layer Parameterization
• Mathematical Framing for Different Agent Strategies
• When Robots Should Say "I Don't Know": Benchmarking Abstention in Embodied Question Answering
• SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding
• Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
• Fermionic neural Gibbs states
• Recurrent Neural Networks with Linear Structures for Electricity Price Forecasting
• Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond
• Continuous-time reinforcement learning for optimal switching over multiple regimes
• Sequential Enumeration in Large Language Models
• Complementary Characterization of Agent-Based Models via Computational Mechanics and Diffusion Models
• Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guarantees
• TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
• TRINITY: An Evolved LLM Coordinator
• Towards Continuous-Time Approximations for Stochastic Gradient Descent without Replacement
• A Tutorial on Regression Analysis: From Linear Models to Deep Learning -- Lecture Notes on Artificial Intelligence
• RLHFSpec: Breaking the Efficiency Bottleneck in RLHF Training via Adaptive Drafting
• MemLoRA: Distilling Expert Adapters for On-Device Memory Systems
• A result relating convex n-widths to covering numbers with some applications to neural networks
• Multi-Agent Reinforcement Learning for Intraday Operating Rooms Scheduling under Uncertainty
• CARL: Critical Action Focused Reinforcement Learning for Multi-Step Agent
• Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows
• Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
• Efficient Generative Transformer Operators For Million-Point PDEs
• Dual-Path Region-Guided Attention Network for Ground Reaction Force and Moment Regression
• SuperActivators: Only the Tail of the Distribution Contains Reliable Concept Signals
• Multi-LLM Collaboration for Medication Recommendation
• Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
• David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?
• OMTRA: A Multi-Task Generative Model for Structure-Based Drug Design
• Gradient Descent with Provably Tuned Learning-rate Schedules
• The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
• TV2TV: A Unified Framework for Interleaved Language and Video Generation
• Deep infant brain segmentation from multi-contrast MRI
• Value Gradient Guidance for Flow Matching Alignment
• The Universal Weight Subspace Hypothesis
• Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants
• AI-Enabled grading with near-domain data for scaling feedback with human-level accuracy
• Patient Safety Risks from AI Scribes: Signals from End-User Feedback
• Measuring Agents in Production
• Enhancing next token prediction based pre-training for jet foundation models
• The Initialization Determines Whether In-Context Learning Is Gradient Descent
• Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
• GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers
• When do spectral gradient updates help in deep learning?
• Evaluating Long-Context Reasoning in LLM-Based WebAgents
• RNNs perform task computations by dynamically warping neural representations
• Data-regularized Reinforcement Learning for Diffusion Models at Scale
• RGE-GCN: Recursive Gene Elimination with Graph Convolutional Networks for RNA-seq based Early Cancer Detection
• Long-Horizon Model-Based Offline Reinforcement Learning Without Conservatism
• Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
• SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction
• STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting
• Learning to Orchestrate Agents in Natural Language with the Conductor
• Feature Engineering vs. Deep Learning for Automated Coin Grading: A Comparative Study on Saint-Gaudens Double Eagles
• GraphBench: Next-generation graph learning benchmarking
• Context-Aware Mixture-of-Experts Inference on CXL-Enabled GPU-NDP Systems
• Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
• Explainable Graph Representation Learning via Graph Pattern Analysis
• On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference
• Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
• LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models
• Reliable Statistical Guarantees for Conformal Predictors with Small Datasets
• Temp-SCONE: A Novel Out-of-Distribution Detection and Domain Generalization Framework for Wild Data with Temporal Shift
• Exploiting \texttt{ftrace}'s \texttt{function\_graph} Tracer Features for Machine Learning: A Case Study on Encryption Detection
• QoSDiff: An Implicit Topological Embedding Learning Framework Leveraging Denoising Diffusion and Adversarial Attention for Robust QoS Prediction
• Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
• Score Matching for Estimating Finite Point Processes
• Rethinking Decoupled Knowledge Distillation: A Predictive Distribution Perspective
• Federated Learning for Anomaly Detection in Maritime Movement Data
• Contract-Governed Training for Earth Observation: Observed Service Agreement Graphs and Coverage-Accuracy Trade-offs
• ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text
• Decoding Large Language Diffusion Models with Foreseeing Movement
• MechDetect: Detecting Data-Dependent Errors
• Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity
• BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
• Network of Theseus (like the ship)
• ActVAE: Modelling human activity schedules with a deep conditional generative approach
• Fine-Tuning ChemBERTa for Predicting Inhibitory Activity Against TDP1 Using Deep Learning
• Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
• Sponsored Questions and How to Auction Them
• TARA Test-by-Adaptive-Ranks for Quantum Anomaly Detection with Conformal Prediction Guarantees
• Large Language Models for Limited Noisy Data: A Gravitational Wave Identification Study
• Polarization by Design: How Elites Could Shape Mass Preferences as AI Reduces Persuasion Costs
• Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
• Large Language Model-Based Agents for Software Engineering: A Survey
• A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
• Public Sentiment Analysis of Traffic Management Policies in Knoxville: A Social Media Driven Study
• The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations
• Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models
• Thucy: An LLM-based Multi-Agent System for Claim Verification across Relational Databases
• BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents
• World Models for Autonomous Navigation of Terrestrial Robots from LIDAR Observations
• AsymPuzl: An Asymmetric Puzzle for multi-agent cooperation
• Cell-cell communication inference and analysis: biological mechanisms, computational approaches, and future opportunities
• A Learning-based Control Methodology for Transitioning VTOL UAVs
• State Space Models for Bioacoustics: A comparative Evaluation with Transformers
• KVNAND: Efficient On-Device Large Language Model Inference Using DRAM-Free In-Flash Computing
• Matrix Editing Meets Fair Clustering: Parameterized Algorithms and Complexity
• Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
• AI/ML in 3GPP 5G Advanced - Services and Architecture
• Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control
• MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
• Hierarchical Vision Language Action Model Using Success and Failure Demonstrations
• Beyond the Black Box: A Cognitive Architecture for Explainable and Aligned AI
• When Do Symbolic Solvers Enhance Reasoning in Large Language Models?
• Prior preferences in active inference agents: soft, hard, and goal shaping
• Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
• Multimodal Reinforcement Learning with Agentic Verifier for AI Agents
• Multi-Agent Reinforcement Learning with Communication-Constrained Priors
• PARC: An Autonomous Self-Reflective Coding Agent for Robust Execution of Long-Horizon Tasks
• Reason-Plan-ReAct: A Reasoner-Planner Supervising a ReAct Executor for Complex Enterprise Tasks
• DeepRule: An Integrated Framework for Automated Business Rule Generation via Deep Predictive Modeling and Hybrid Search Optimization
• MemVerse: Multimodal Memory for Lifelong Learning Agents
• RoCo: Role-Based LLMs Collaboration for Automatic Heuristic Design
• Omni-AutoThink: Adaptive Multimodal Reasoning via Reinforcement Learning
• A Hierarchical Tree-based approach for creating Configurable and Static Deep Research Agent (Static-DRA)
• Autonomous Agents and Policy Compliance: A Framework for Reasoning About Penalties
• Benchmark for Planning and Control with Large Language Model Agents: Blocksworld with Model Context Protocol
• AI-Driven Document Redaction in UK Public Authorities: Implementation Gaps, Regulatory Challenges, and the Human Oversight Imperative
• Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation
• Echoes of AI Harms: A Human-LLM Synergistic Framework for Bias-Driven Harm Anticipation
• Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
• Will Power Return to the Clouds? From Divine Authority to GenAI Authority
• Irresponsible AI: big tech's influence on AI research and associated impacts
• AtomDisc: An Atom-level Tokenizer that Boosts Molecular LLMs and Reveals Structure--Property Associations
• Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
• When Harmful Content Gets Camouflaged: Unveiling Perception Failure of LVLMs with CamHarmTI
• Community Quality and Influence Maximization: An Empirical Study
• Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks