Papers
Sat 10 Jan 2026
159 papers
- Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A SurveyRetrieval-augmented generation → Hallucination detection in RAG
- Adaptive Orchestration: Scalable Self-Evolving Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- EmbeddingRWKV: State-Centric Retrieval with Reusable StatesRetrieval-augmented generation → Generation and context integration
- Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling GuaranteesDiffusion models → Diffusion foundations and sampling
- Evaluating Accounting Reasoning Capabilities of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- GRASP LoRA: GRPO Guided Adapter Sparsity Policy for Cross Lingual TransferLLM reasoning → Reasoning benchmarks and evaluation
- Plasticity vs. Rigidity: The Impact of Low-Rank Adapters on Reasoning on a Micro-BudgetLLM reasoning → Test-time compute and efficient thinking
- IDRBench: Benchmarking the Interactive Capabilities of Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Evaluating Cross-Lingual Unlearning in Multilingual Language ModelsLLM safety and security → Machine unlearning
- Reinforcement Learning-Guided Dynamic Multi-Graph Fusion for Evacuation Traffic PredictionDeep reinforcement learning methods → RL for autonomous driving and traffic
- SafePro: Evaluating the Safety of Professional-Level AI AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Do Language Models Reason Across Languages?LLM reasoning → Reasoning benchmarks and evaluation
- Leveraging Soft Prompts for Privacy Attacks in Federated Prompt TuningLLM safety and security → Federated unlearning and poisoning
- Agentic AI Empowered Intent-Based Networking for 6GLLM agents and tool use → Agentic AI for wireless networks
- Attack-Resistant Watermarking for AIGC Image Forensics via Diffusion-based Semantic DeflectionLLM safety and security → Watermarking generated content and models
- CEDAR: Context Engineering for Agentic Data ScienceLLM agents and tool use → Web, search, and research agents
- Sissi: Zero-shot Style-guided Image Synthesis via Semantic-style IntegrationDiffusion models → Image generation, text-to-image and editing
- Object-Centric World Models Meet Monte Carlo Tree SearchWorld models → Latent predictive world models +1
- N2N-GQA: Noise-to-Narrative for Graph-Based Table-Text Question Answering Using LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video MisinformationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World ValidityLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- QMAVIS: Long Video-Audio Understanding using Fusion of Large Multimodal ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Hellinger Multimodal Variational AutoencodersMixture-of-experts → Multimodal MoE models
- QCaption: Video Captioning and Q&A through Fusion of Large Multimodal ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- L-RAG: Balancing Context and Retrieval with Entropy-Based Lazy LoadingRetrieval-augmented generation → Generation and context integration
- Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning FrameworkLLM reasoning → Multimodal reasoning
- Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal ControlDeep reinforcement learning methods → Deep RL algorithms and representations
- Short-term electricity load forecasting with multi-frequency reconstruction diffusionDiffusion models → Flow matching, time series and science
- BabyVision: Visual Reasoning Beyond LanguageLLM reasoning → Multimodal reasoning +1
- MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Bridging Robustness and Efficiency: Real-Time Low-Light Enhancement via Attention U-Net GANDiffusion models → Inverse problems and image restoration
- Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's MatchingDiffusion models → Diffusion foundations and sampling
- DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral InspectionLLM agents and tool use → Web, search, and research agents
- Bi-Mem: Bidirectional Construction of Hierarchical Memory for Personalized LLMs via Inductive-Reflective AgentsLLM agents and tool use → Agent memory systems
- ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative RankingLLM agents and tool use → Reinforcement learning for LLM agents +1
- Deriving Decoder-Free Sparse Autoencoders from First PrinciplesMechanistic interpretability → Sparse autoencoder training and evaluation
- SparseOccVLA: Bridging Occupancy and Vision-Language Models via Sparse Queries for Unified 4D Scene Understanding and PlanningLLM reasoning → Chain-of-thought reasoning for driving +1
- On the Adversarial Robustness of 3D Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- VIPER Strike: Defeating Visual Reasoning CAPTCHAs via Structured Vision-Language InferenceLLM reasoning → Multimodal reasoning
- Tone Matters: The Impact of Linguistic Tone on Hallucination in VLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Architecting AgentOps Needs CHANGELLM agents and tool use → Software engineering coding agents
- ConSensus: Multi-Agent Collaboration for Multimodal SensingLLM agents and tool use → Multimodal and embodied agents
- Deep Reinforcement Learning based Control Design for Aircraft Recovery from Loss-of-Control ScenarioDeep reinforcement learning methods → RL for robot navigation and UAV control
- Certified Unlearning in Decentralized Federated LearningLLM safety and security → Federated unlearning and poisoning
- BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
- Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency TradeoffsLLM reasoning → Test-time compute and efficient thinking
- Semantic Enrichment of CAD-Based Industrial Environments via Scene Graphs for Simulation and ReasoningLLM reasoning → Spatial and embodied reasoning
- Structured Episodic Event MemoryRetrieval-augmented generation → Agentic RAG, agents and memory
- Value of Information: A Framework for Human-Agent CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- HiMem: Hierarchical Long-Term Memory for LLM Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action SimulationLLM reasoning → Clinical and biomedical applications +1
- A Methodology for Identifying Evaluation Items for Practical Dialogue Systems Based on Business-Dialogue System Alignment Models
- Scalable Board Expansion within a General Game System
- An Explainable Market Integrity Monitoring System with Multi-Source Attention Signals and Transparent Scoring
- Quality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent Systems: Extended Version
- Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
- NoiseFormer -- Noise Diffused Symmetric Attention Transformer
- Architecture Before the Formula: Training-Dependent Computational Semantics in Transformers
- PointSLAM++: Robust Dense Neural Gaussian Point Cloud-based SLAM
- Line-based Event Preprocessing: Towards Low-Energy Neuromorphic Computer Vision
- Neuro-Symbolic Activation Discovery: Transferring Mathematical Structures from Physics to Ecology for Parameter-Efficient Neural Networks
- Informed Consent for AI Consciousness Research: A Talmudic Framework for Graduated Protections
- Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics
- HOSC: A Periodic Activation with Saturation Control for High-Fidelity Implicit Neural Representations
- RewriteNets: End-to-End Trainable String-Rewriting for Generative Sequence Modeling
- Bridging the Trust Gap: Clinician-Validated Hybrid Explainable AI for Maternal Health Risk Assessment in Bangladesh
- DS-CIM: Digital Stochastic Computing-In-Memory Featuring Accurate OR-Accumulation via Sample Region Remapping for Edge AI Models
- Beyond Perfect Scores: Proof-by-Contradiction for Trustworthy Machine Learning
- Explainability of Complex AI Models with Correlation Impact Ratio
- Characterising Toxicity in Generative Large Language Models
- Quantification and Classification of Carbon Nanotubes in Electron Micrographs using Vision Foundation Models
- Will it Merge? On The Causes of Model Mergeability
- Otimizando A Alocacc~ao De Salas De Aula Com Foco Na Acessibilidade Para Pessoas Com Deficiencia
- InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
- What makes for an enjoyable protagonist? An analysis of character warmth and competence
- Physics-constrained Gaussian Processes for Predicting Shockwave Hugoniot Curves
- Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency
- eSkiTB: A Synthetic Event-based Dataset for Tracking Skiers
- A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
- Boosting Overlapping Organoid Instance Segmentation Using Pseudo-Label Unmixing and Synthesis-Assisted Learning
- Efficient Aspect Term Extraction using Spiking Neural Network
- MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis
- KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
- Labels have Human Values: Value Calibration of Subjective Tasks
- Lower Bounds for the Algorithmic Complexity of Learned Indexes
- Burn-After-Use for Preventing Data Leakage through a Secure Multi-Tenant Architecture in Enterprise LLM
- Efficient and Reliable Estimation of Named Entity Linking Quality: A Case Study on GutBrainIE
- Cross-Border Data Security and Privacy Risks in Large Language Models and IoT Systems
- Pragya: An AI-Based Semantic Recommendation System for Sanskrit Subhasitas
- UMLoc: Uncertainty-Aware Map-Constrained Inertial Localization with Quantified Bounds
- How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs
- Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective
- Detecting LLM-Generated Text with Performance Guarantees
- Softly Induced Functional Simplicity: Implications for Neural Network Generalisation, Robustness, and Distillation
- Stylistic Evolution and LLM Neutrality in Singlish Language
- Are Emotions Arranged in a Circle? Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning
- APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation
- EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation
All 159
- CSR-RAG: An Efficient Retrieval System for Text-to-SQL on the Enterprise Scale
- Mosaic: Unlocking Long-Context Inference for Diffusion LLMs via Global Memory Planning and Dynamic Peak Taming
- ArrowGEV: Grounding Events in Video via Learning the Arrow of Time
- Robust Sparse Signal Recovery with Outliers: A Hard Thresholding Pursuit Approach Based on LAD
- Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support
- Resource-constrained Project Scheduling with Time-of-Use Energy Tariffs and Machine States: A Logic-based Benders Decomposition Approach
- Towards Egocentric 3D Hand Pose Estimation in Unseen Domains
- Expos'ia: Teaching and Assessment of Academic Writing Skills for Research Project Proposals and Peer Feedback
- Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies
- Atomic-SNLI: Fine-Grained Natural Language Inference through Atomic Fact Decomposition
- Toward Generalizable Deblurring: Leveraging Massive Blur Priors with Linear Attention for Real-World Scenarios
- Pareto-Optimal Model Selection for Low-Cost, Single-Lead EMG Control in Embedded Systems
- A novel RF-enabled Non-Destructive Inspection Method through Machine Learning and Programmable Wireless Environments
- Precision Meets Art: Autonomous Multi-UAV System for Large Scale Mural Drawing
- Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings
- The AI Pyramid A Conceptual Framework for Workforce Capability in the Age of AI
- Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation
- 3D CoCa v2: Contrastive Learners with Test-Time Search for Generalizable Spatial Intelligence
- Learning Domain Agnostic Latent Embeddings of 3D Faces for Zero-shot Animal Expression Transfer
- SRFlow: A Dataset and Regularization Model for High-Resolution Facial Optical Flow via Splatting Rasterization
- IndRegBias: A Dataset for Studying Indian Regional Biases in English and Code-Mixed Social Media Comments
- VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment
- Hybrid LSTM-UKF Framework: Ankle Angle and Ground Reaction Force Estimation
- StablePDENet: Enhancing Neural Operator Stability through Physics-Informed Residual-Sensitivity Regularization
- PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
- R3D: Regional-guided Residual Radar Diffusion
- Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths
- Physics-informed Gaussian Process Regression in Solving Eigenvalue Problem of Linear Operators
- PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation
- CulinaryCut-VLAP: A Vision-Language-Action-Physics Framework for Food Cutting via a Force-Aware Material Point Method
- LitVISTA: A Benchmark for Narrative Orchestration in Literary Text
- Physics-Informed Tree Search for High-Dimensional Computational Design
- How to Build Robust, Scalable Models for GSV-Based Indicators in Neighborhood Research
- WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
- FlexAct: Why Learn when you can Pick?
- Time Travel Engine: A Shared Latent Chronological Manifold Enables Historical Navigation in Large Language Models
- On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning
- LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models
- A Unified Shape-Aware Foundation Model for Time Series Classification
- NC-Bench: An LLM Benchmark for Evaluating Conversational Competence
- HiDVFS: Hierarchical Multi-Agent DVFS for Real-Time OpenMP DAG Workloads
- GlobalPaint: Spatiotemporal Coherent Video Outpainting with Global Feature Guidance
- Stitch the Fragments: One-Shot Hierarchical Federated Clustering
- Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding
- BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
- MITRA: A Large-Scale Parallel Corpus and Multilingual Pretrained Language Model for Machine Translation and Semantic Retrieval for P=ali, Sanskrit, Buddhist Chinese, and Tibetan
- AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages
- Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
- Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing
- Object-WIPER : Training-Free Object and Associated Effect Removal in Videos
- Supervised and Unsupervised Neural Network Solver for First Order Hyperbolic Nonlinear PDEs
- Hierarchical Pooling and Explainability in Graph Neural Networks for Tumor and Tissue-of-Origin Classification Using RNA-seq Data
- Talking to Extraordinary Objects: Folktales Offer Analogies for Interacting with Technology
- From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum
- SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use
- Human-in-the-Loop Interactive Report Generation for Chronic Disease Adherence
- Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs
- Average shortest-path length in word-adjacency networks: Chinese versus English
- Computational Mapping of Reactive Stroma in Prostate Cancer Yields Interpretable, Prognostic Biomarkers