Papers
Sun 28 Dec 2025
148 papers
- Building AI Agents to Improve Job Referral Requests to StrangersLLM agents and tool use → General LLM agent frameworks and benchmarks
- Eliminating Agentic Workflow for Introduction Generation with Parametric Stage TokensLLM agents and tool use → Software engineering coding agents
- SciNets: Graph-Constrained Multi-Hop Reasoning for Scientific Literature SynthesisLLM reasoning → Knowledge- and tool-augmented reasoning
- Forgetting as a Feature: Cognitive Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Can Consumer Chatbots Reason? A Student-Led Field Experiment Embedded in an "AI-for-All" Undergraduate CourseLLM reasoning → Reasoning benchmarks and evaluation
- Value-guided action planning with JEPA world modelsWorld models → Latent predictive world models
- Audited Skill-Graph Self-Improvement for Agentic LLMs via Verifiable Rewards, Experience Synthesis, and Continual MemoryLLM agents and tool use → Agent skill learning and evolution +1
- How Much Data Is Enough? Uniform Convergence Bounds for Generative & Vision-Language Models under Low-Dimensional StructureMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and AlgorithmsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not PatientsLLM reasoning → Clinical and biomedical applications +1
- Embodied Learning of Reward for Musculoskeletal Control with Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge ComputingMixture-of-experts → Federated mixture-of-experts
- Breaking the Memory Wall: Exact Analytical Differentiation via Tiled Operator-Space EvolutionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- The Reward Model Selection Crisis in Personalized AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Video-Browser: Towards Agentic Open-web Video BrowsingLLM agents and tool use → Multimodal and embodied agents
- Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvgMechanistic interpretability → Sparse autoencoder training and evaluation
- Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint VerbalizationLLM reasoning → Prompting and chain-of-thought reasoning
- Viability and Performance of a Private LLM Server for SMBs: A Benchmark Analysis of Qwen3-30B on Consumer-Grade HardwareMixture-of-experts → Efficient MoE training and inference systems
- An Architecture-Led Hybrid Report on Body Language Detection ProjectMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Reverse PersonalizationDiffusion models → Image generation, text-to-image and editing
- YOLO-IOD: Towards Real Time Incremental Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Diversity or Precision? A Deep Dive into Next Token PredictionLLM reasoning → Reinforcement learning for reasoning
- APO: Alpha-Divergence Preference OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
- Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and GenerationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- DECEPTICON: How Dark Patterns Manipulate Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic FoundationsLLM agents and tool use → Agent threats, guardrails and governance
- Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path GuidanceDiffusion models → Diffusion foundations and sampling
- M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- MUSON: A Reasoning-oriented Multimodal Dataset for Socially Compliant Navigation in Urban EnvironmentsLLM reasoning → Spatial and embodied reasoning
- AutoForge: Automated Environment Synthesis for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- TEACH: Temporal Variance-Driven Curriculum for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- ReDiF: Reinforced Distillation for Few Step DiffusionDiffusion models → Diffusion foundations and sampling +1
- Parallel Diffusion Solver via Residual Dirichlet Policy OptimizationDiffusion models → Diffusion foundations and sampling
- ChatGraPhT: A Visual Conversation Interface for Multi-Path Reflection with Agentic LLM SupportLLM agents and tool use → General LLM agent frameworks and benchmarks
- Neighbor-Aware Token Reduction via Hilbert Curve for Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Active Constraint Learning in High Dimensions from DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
- TrimTokenator-LC: Towards Adaptive Visual Token Pruning for Large Multimodal Models with Long ContextsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment AnalysisMixture-of-experts → Multimodal MoE models
- WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast InferenceDiffusion models → Discrete and text diffusion
- FoldAct: Efficient and Stable Context Folding for Long-Horizon Search AgentsLLM agents and tool use → Agent memory systems
- Explaining AI Without Code: A User Study on Explainable AI
- Clinical Document Metadata Extraction: A Scoping Review
- Enhancing Business Analytics through Hybrid Summarization of Financial Reports
- Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation
- TEAS: Trusted Educational AI Standard: A Framework for Verifiable, Stable, Auditable, and Pedagogically Sound Learning Systems
- Enabling Long FFT Convolutions on Memory-Constrained FPGAs via Chunking
- Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection
- On the use of case estimate and transactional payment data in neural networks for individual loss reserving
- MixRx: Predicting Drug Combination Interactions with LLMs
- OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification
- RGS-SLAM: Robust Gaussian Splatting SLAM with One-Shot Dense Initialization
- Neural Optimal Design of Experiment for Inverse Problems
- Drift-Based Dataset Stability Benchmark
- Learning Coupled System Dynamics under Incomplete Physical Constraints and Missing Data
- Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
- MedSAM-based lung masking for multi-label chest X-ray classification
- Dynamic Vocabulary Pruning: Stable LLM-RL by Taming the Tail
- QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants
- Deep Learning for Art Market Valuation
- Multimodal Functional Maximum Correlation for Emotion Recognition
- Trust Region Masking for Long-Horizon LLM Reinforcement Learning
- Federated Learning With L0 Constraint Via Probabilistic Gates For Sparsity
- TabiBERT: A Large-Scale ModernBERT Foundation Model and A Unified Benchmark for Turkish
- PI-MFM: Physics-informed multimodal foundation model for solving partial differential equations
- Accelerating Language Model Workflows with Prompt Choreography
- 3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
- Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K--12 Education
- Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
- Interpretable Gallbladder Ultrasound Diagnosis: A Lightweight Web-Mobile Software Platform with Real-Time XAI
- LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
- With Great Context Comes Great Prediction Power: Classifying Objects via Geo-Semantic Scene Graphs
- OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding
- Merge before Forget: A Single LoRA Continual Learning via Continual Merging
- Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
- JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
- Fusion or Confusion? Multimodal Complexity Is Not All You Need
- A Low-Cost UAV Deep Learning Pipeline for Integrated Apple Disease Diagnosis,Freshness Assessment, and Fruit Detection
- Risk-Averse Learning with Varying Risk Levels
- Spatial-aware Symmetric Alignment for Text-guided Medical Image Segmentation
- PoseStreamer: A Multi-modal Framework for 3D Tracking of Unseen Moving Objects
- A Context-Aware Temporal Modeling through Unified Multi-Scale Temporal Encoding and Hierarchical Sequence Learning for Single-Channel EEG Sleep Staging
- RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidance
- Wavelet-based Multi-View Fusion of 4D Radar Tensor and Camera for Robust 3D Object Detection
- CLIP-Joint-Detect: End-to-End Joint Training of Object Detectors with Contrastive Vision-Language Supervision
- Prompt engineering does not universally improve Large Language Model performance across clinical decision-making tasks
- Deep Learning for the Multiple Optimal Stopping Problem
- FLOW: A Feedback-Driven Synthetic Longitudinal Dataset of Work and Wellbeing
- Learning Where to Focus: Density-Driven Guidance for Detecting Dense Tiny Objects
- Multiple Token Divergence: Measuring and Steering In-Context Computation Density
- Heterogeneity in Multi-Agent Reinforcement Learning
- RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
- Geometric Structural Knowledge Graph Foundation Model
- A first-order method for nonconvex-strongly-concave constrained minimax optimization
- MetaCD: A Meta Learning Framework for Cognitive Diagnosis based on Continual Learning
- Debugging Tabular Log as Dynamic Graphs
- A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments
- HiSciBench: A Hierarchical Multi-disciplinary Benchmark for Scientific Intelligence from Reading to Discovery
All 148
- Federated Multi-Task Clustering
- SAMP-HDRL: Segmented Allocation with Momentum-Adjusted Utility for Multi-agent Portfolio Management via Hierarchical Deep Reinforcement Learning
- Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral
- Hash Grid Feature Pruning
- Fundamental Novel Consistency Theory: H-Consistency Bounds
- SwinTF3D: A Lightweight Multimodal Fusion Approach for Text-Guided 3D Medical Image Segmentation
- Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
- Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
- Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs
- The body is not there to compute: Comment on "Informational embodiment: Computational role of information structure in codes and robots" by Pitti et al
- Adaptive Trust Consensus for Blockchain IoT: Comparing RL, DRL, and MARL Against Naive, Collusive, Adaptive, Byzantine, and Sleeper Attacks
- A Rapid GeoSAM-Based Workflow for Multi-Temporal Glacier Delineation: Case Study from Svalbard
- ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
- Causal-Policy Forest for End-to-End Policy Learning
- A Minimal Solver for Relative Pose Estimation with Unknown Focal Length from Two Affine Correspondences
- 3D Scene Change Modeling With Consistent Multi-View Aggregation
- FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
- NepEMO: A Multi-Label Emotion and Sentiment Analysis on Nepali Reddit with Linguistic Insights and Temporal Trends
- KANO: Kolmogorov-Arnold Neural Operator for Image Super-Resolution
- Depth Anything in 360^circ: Towards Scale Invariance in the Wild
- Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
- EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation
- MoR: Mixture Of Representations For Mixed-Precision Training
- Evaluating the Performance of Open-Vocabulary Object Detection in Low-quality Image
- Medical Scene Reconstruction and Segmentation based on 3D Gaussian Representation
- VPTracker: Global Vision-Language Tracking via Visual Prompt
- CNSight: Evaluation of Clinical Note Segmentation Tools
- Reach-Avoid Differential game with Reachability Analysis for UAVs: A decomposition approach
- A Universal and Robust Framework for Multiple Gas Recognition Based-on Spherical Normalization-Coupled Mahalanobis Algorithm
- Discovering Transmission Dynamics of COVID-19 in China
- Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
- Plug In, Grade Right: Psychology-Inspired AGIQA
- Fake News Classification in Urdu: A Domain Adaptation Approach for a Low-Resource Language
- Adapting, Fast and Slow: On Few-Shot Transportability of Compositions
- Schrodinger AI: A Unified Spectral-Dynamical Framework for Classification, Reasoning, and Operator-Based Generalization
- GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
- Next Best View Selections for Semantic and Dynamic 3D Gaussian Splatting
- Understanding the Mechanisms of Fast Hyperparameter Transfer
- SwinCCIR: An end-to-end deep network for Compton camera imaging reconstruction
- A Micro-Macro Machine Learning Framework for Predicting Childhood Obesity Risk Using NHANES and Environmental Determinants
- From Confounding to Learning: Dynamic Service Fee Pricing on Third-Party Platforms
- Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation
- Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL
- Robust LLM-based Column Type Annotation via Prompt Augmentation with LoRA Tuning
- Multi-Task Learning for Metal Alloy Property Prediction: An Empirical Study of Negative Transfer and Mitigation Strategies
- Harnessing Large Language Models for Biomedical Named Entity Recognition
- Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
- Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning