Papers
Sun 11 Jan 2026
167 papers
- Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and FailuresLLM reasoning → Reinforcement learning for reasoning
- Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied ExplorationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD ConceptsLLM agents and tool use → Multimodal and embodied agents
- R2BD: A Reconstruction-Based Method for Generalizable and Efficient Detection of Fake ImagesDiffusion models → Image generation, text-to-image and editing
- Sola-Visibility-ISPM: Benchmarking Agentic AI for Identity Security Posture Management VisibilityLLM agents and tool use → Agent threats, guardrails and governance
- Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region CompressionEnd-to-end autonomous driving → VLMs for autonomous driving
- When Should We Introduce Safety Interventions During Pretraining?LLM safety and security → Safety alignment, refusal and guardrails
- How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the TestLLM safety and security → Jailbreaking
- Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM SystemsLLM safety and security → Prompt injection and agent security
- PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- Dr. Zero: Self-Evolving Search Agents without Training DataLLM agents and tool use → Web, search, and research agents +1
- Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel KnowledgeLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level TriggersLLM reasoning → Test-time compute and efficient thinking
- Solar Open Technical ReportMixture-of-experts → MoE large language models
- Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?LLM reasoning → Multimodal reasoning +1
- MedTutor: A Retrieval-Augmented LLM System for Case-Based Medical EducationRetrieval-augmented generation → Medical and biomedical RAG
- UETQuintet at BioCreative IX -- MedHopQA: Enhancing Biomedical QA with Selective Multi-hop Reasoning and Contextual RetrievalLLM reasoning → Clinical and biomedical applications
- LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language AgentsLLM agents and tool use → Agent memory systems
- A Robust Certified Machine Unlearning Method Under Distribution ShiftLLM safety and security → Machine unlearning
- Unified Personalized Understanding, Generating and EditingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SketchJudge: A Diagnostic Benchmark for Grading Hand-drawn Diagrams with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video ReasoningLLM reasoning → Multimodal reasoning +1
- Forgetting Similar Samples: Can Machine Unlearning Do it Better?LLM safety and security → Machine unlearning
- mind_call: A Dataset for Mental Health Function Calling with Large Language ModelsLLM agents and tool use → Medical and scientific domain agents
- Measuring Social Bias in Vision-Language Models with Face-Only Counterfactuals from Real PhotosMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- RenderFlow: Single-Step Neural Rendering via Flow MatchingDiffusion models → 3D, point cloud and scene generation
- TreePS-RAG: Tree-based Process Supervision for Reinforcement Learning in Agentic RAGRetrieval-augmented generation → Agentic RAG, agents and memory +1
- PenForge: On-the-Fly Expert Agent Construction for Automated Penetration TestingLLM agents and tool use → Agent threats, guardrails and governance
- CLIMP: Contrastive Language-Image Mamba PretrainingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment AnalysisMultimodal LLMs / vision-language models → Multimodal emotion understanding +1
- United We Defend: Collaborative Membership Inference Defenses in Federated LearningLLM safety and security → Federated unlearning and poisoning
- ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior CalibrationLLM reasoning → Reasoning for agents, planning and code +1
- MoE-DisCo:Low Economy Cost Training Mixture-of-Experts ModelsMixture-of-experts → Efficient MoE training and inference systems
- DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math ProblemsLLM reasoning → Mathematical reasoning
- MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding DataMultimodal LLMs / vision-language models → Medical vision-language models
- Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- CHASE: LLM Agents for Dissecting Malicious PyPI PackagesLLM agents and tool use → Agent threats, guardrails and governance
- MoEScore: Mixture-of-Experts-Based Text-Audio Relevance Score Prediction for Text-to-Audio System EvaluationMixture-of-experts → Multimodal MoE models
- AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based AgentsLLM agents and tool use → Medical and scientific domain agents
- WFR-FM: Simulation-Free Dynamic Unbalanced Optimal TransportDiffusion models → Flow matching, time series and science
- Forest Before Trees: Latent Superposition for Efficient Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Thinking with Deltas: Incentivizing Reinforcement Learning via Differential Visual Reasoning PolicyLLM reasoning → Multimodal reasoning
- CIRAG: Construction-Integration Retrieval and Adaptive Generation for Multi-hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- GDEPO: Group Dual-dynamic and Equal-right Advantage Policy Optimization with Enhanced Training Data Utilization for Sample-Constrained Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- No More Stale Feedback: Co-Evolving Critics for Open-World Agent LearningLLM agents and tool use → Reinforcement learning for LLM agents
- SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-ComputeMixture-of-experts → Expert routing strategies
- EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking +1
- CyberLLM-FINDS 2025: Instruction-Tuned Fine-tuning of Domain-Specific LLMs with Retrieval-Augmented Generation and Graph Integration for MITRE EvaluationRetrieval-augmented generation → Privacy and security of RAG
- From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process DesignLLM agents and tool use → Medical and scientific domain agents
- GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPOLLM reasoning → Mathematical reasoning
- MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn DialoguesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- On-the-Fly VLA Adaptation via Test-Time Reinforcement LearningVision-language-action models → Reinforcement learning and post-training
- Vextra: A Unified Middleware Abstraction for Heterogeneous Vector Database SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Assessing LLM Response Quality in the Context of Technology-Facilitated Abuse
- AI Hallucination from Students' Perspective: A Thematic Analysis
- SDUs DAISY: A Benchmark for Danish Culture
- Stingy Context: 18:1 Hierarchical Code Compression for LLM Auto-Coding
- Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct
- Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models
- A Mind Cannot Be Smeared Across Time
- UBiGTLoc: A Unified BiLSTM-Graph Transformer Localization Framework for IoT Sensor Networks
- Enhancing Formal Software Specification with Artificial Intelligence
- First African Digital Humanism Summer School 2025
- AI Deployment Authorisation: A Global Standard for Machine-Readable Governance of High-Risk Artificial Intelligence
- Residual Cross-Modal Fusion Networks for Audio-Visual Navigation
- Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach
- Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
- E^2-LLM: Bridging Neural Signals and Interpretable Affective Analysis
- NOVAK: Unified adaptive optimizer for deep neural networks
- Multiplicative Orthogonal Sequential Editing for Language Models
- Robust Bayesian Optimization via Tempered Posteriors
- 3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising
- XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators
- The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance
- Robust Mean Estimation under Quantization
- Billboard in Focus: Estimating Driver Gaze Duration from a Single Image
- Automated Domain Question Mapping (DQM) with Educational Learning Materials
- Local EGOP for Continuous Index Learning
- Hallucinations Live in Variance
- Adversarial Attacks on Medical Hyperspectral Imaging Exploiting Spectral-Spatial Dependencies and Multiscale Features
- GPU-Accelerated ANNS: Quantized for Speed, Built for Change
- Engineering of Hallucination in Generative AI: It's not a Bug, it's a Feature
- When Abundance Conceals Weakness: Knowledge Conflict in Multilingual Models
- Task Arithmetic with Support Languages for Low-Resource ASR
- Explainable Deep Radiogenomic Molecular Imaging for MGMT Methylation Prediction in Glioblastoma
- Codified Foreshadowing-Payoff Text Generation
- CloneMem: Benchmarking Long-Term Memory for AI Clones
- Tight Analysis of Decentralized SGD: A Markov Chain Perspective
- TurkBench: A Benchmark for Evaluating Turkish Large Language Models
- Zer0n: An AI-Assisted Vulnerability Discovery and Blockchain-Backed Integrity Framework
- Belief in False Information: A Human-Centered Security Risk in Sociotechnical Systems
- Conditional Normalizing Flows for Forward and Backward Joint State and Parameter Estimation
- Lexicalized Constituency Parsing for Middle Dutch: Low-resource Training and Cross-Domain Generalization
- LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
- MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
- MemTrust: A Zero-Trust Architecture for Unified AI Memory System
- Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests
- Spatial Multi-Task Learning for Breast Cancer Molecular Subtype Prediction from Single-Phase DCE-MRI
All 167
- ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction
- FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
- Match Made with Matrix Completion: Efficient Learning under Matching Interference
- Benchmarking Autonomy in Scientific Experiments: A Hierarchical Taxonomy for Autonomous Large-Scale Facilities
- Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition
- Generalization Bounds for Transformer Channel Decoders
- RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
- The Impact of Anisotropic Covariance Structure on the Training Dynamics and Generalization Error of Linear Networks
- HAS-VQ: Hessian-Adaptive Sparse Vector Quantization for High-Fidelity LLM Compression
- X-Coder: Advancing Competitive Programming with Synthetic Tasks, Solutions, and Tests
- Towards Operational Streamflow Forecasting in the Limpopo River Basin using Long Short-Term Memory Networks
- VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenance
- Symphonym: Universal Phonetic Embeddings for Cross-Script Toponym Matching
- Active Learning Strategies for Efficient Machine-Learned Interatomic Potentials Across Diverse Material Systems
- Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
- Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
- Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
- UDPNet: Unleashing Depth-based Priors for Robust Image Dehazing
- Fine-grained Verbal Attack Detection via a Hierarchical Divide-and-Conquer Framework
- V2P: Visual Attention Calibration for GUI Grounding via Background Suppression and Center Peaking
- TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Grounding
- Paraphrasing Adversarial Attack on LLM-as-a-Reviewer
- MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation
- Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
- Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven Simulation
- An Ubuntu-Guided Large Language Model Framework for Cognitive Behavioral Mental Health Dialogue
- MVGGT: Multimodal Visual Geometry Grounded Transformer for Multiview 3D Referring Expression Segmentation
- Applying Embedding-Based Retrieval to Airbnb Search
- U-MASK: User-adaptive Spatio-Temporal Masking for Personalized Mobile AI Applications
- Learning QoE from Packet-Level Measurements in Encrypted Video Conferencing Traffic
- BiasLab: A Multilingual Dual-Framing Framework for LLM Bias Measurement, Applied to Workplace and HR Contexts
- Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
- A Brain-like Synergistic Core in LLMs Drives Behaviour and Learning
- Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model
- Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search
- Variational decomposition autoencoding improves disentanglement of latent representations
- PRISM: Color-Stratified Point Cloud Sampling
- OSCAR: Optical-aware Semantic Control for Aleatoric Refinement in Sar-to-Optical Translation
- Enhancing Low-resolution Image Representation Through Normalizing Flows
- SARA: Scene-Aware Reconstruction Accelerator
- Constrained Density Estimation via Optimal Transport
- PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
- Analyzing the effect of prediction accuracy on the distributionally-robust competitive ratio
- SpatialNav: Leveraging Spatial Scene Graphs for Zero-Shot Vision-and-Language Navigation
- Doing More with Less: Data Augmentation for Sudanese Dialect Automatic Speech Recognition
- Graph Neural Network with One-side Edge Sampling for Fraud Detection
- CliffordNet: All You Need is Geometric Algebra
- Cross-Modal Computational Model of Brain-Heart Interactions via HRV and EEG Feature
- MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
- Artificial Entanglement in the Fine-Tuning of Large Language Models
- Garbage Attention in Large Language Models: BOS Sink Heads and Sink-aware Pruning
- Dimension-reduced outcome-weighted learning for estimating individualized treatment regimes in observational studies
- AutoTour: Automatic Photo Tour Guide with Smartphones and LLMs
- Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling
- The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
- Structure-preserving learning and prediction in optimal control of collective motion
- ALFA: A Safe-by-Design Approach to Mitigate Quishing Attacks Launched via Fancy QR Codes
- Comparative Separation: Evaluating Separation on Comparative Judgment Test Data
- A Backpropagation-Free Feedback-Hebbian Network for Continual Learning Dynamics
- Towards Computational Chinese Paleography
- FinForge: Semi-Synthetic Financial Benchmark Generation
- Federated Continual Learning for Privacy-Preserving Hospital Imaging Classification
- Logic-Driven Semantic Communication for Resilient Multi-Agent Systems
- Why are there many equally good models? An Anatomy of the Rashomon Effect
- Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
- USFetal: Tools for Fetal Brain Ultrasound Compounding
- When Humans Judge Irises: Pupil Size Normalization as an Aid and Synthetic Irises as a Challenge