Papers
Sun 18 Jan 2026
186 papers
- Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic WebLLM agents and tool use → General LLM agent frameworks and benchmarks
- LOGOS-CA: A Cellular Automaton Using Natural Language as State and RuleLLM reasoning → Reasoning for agents, planning and code
- RAPTOR-AI for Disaster OODA Loop: Hierarchical Multimodal RAG with Experience-Driven Agentic Decision-MakingLLM agents and tool use → Multimodal and embodied agents
- Linear Mechanisms for Spatiotemporal Reasoning in Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Disagreement as Data: Reasoning Trace Analytics in Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- A Cloud-based Multi-Agentic Workflow for ScienceLLM agents and tool use → Web, search, and research agents
- Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled RegularizationDeep reinforcement learning methods → RL theory and sample complexity
- Do MLLMs See What We See? Analyzing Visualization Literacy Barriers in AI SystemsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Primate-like perceptual decision making emerges through deep recurrent reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
- Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective AgentsLLM reasoning → Reasoning for agents, planning and code +2
- Improving Low-Resource Machine Translation via Round-Trip Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic CognitionLLM agents and tool use → Software engineering coding agents
- DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic IntegrityMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition BottleneckLLM reasoning → Knowledge- and tool-augmented reasoning
- Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language AdaptationMultimodal LLMs / vision-language models → Medical vision-language models
- Incentivizing In-depth Reasoning over Long Contexts with Process Advantage ShapingLLM reasoning → Test-time compute and efficient thinking
- TrojanPraise: Jailbreak LLMs via Benign Fine-TuningLLM safety and security → Jailbreaking
- AgenTRIM: Tool Risk Mitigation for Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- Large Language Model for OWL ProofsLLM reasoning → Reasoning benchmarks and evaluation
- Adversarial Defense in Vision-Language Models: An OverviewMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- System-Mediated Attention Imbalances Make Vision-Language Models Say YesMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ReWorld: Multi-Dimensional Reward Modeling for Embodied World ModelsWorld models → Embodied and robot world models +1
- Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert SpaceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image GenerationDeep reinforcement learning methods → RL with diffusion and flow models
- Learning Diverse Skills for Behavior Models with Mixture of ExpertsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene GenerationDiffusion models → 3D, point cloud and scene generation
- LR-DWM: Efficient Watermarking for Diffusion Language ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert TaxonomiesLLM agents and tool use → Web, search, and research agents
- Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMsLLM safety and security → Prompt injection and agent security
- From Prompts to Pavement: LMMs-based Agentic Behavior-Tree Generation Framework for Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving +1
- Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion ModelsDiffusion models → Audio, speech and music
- Mind the Gap: Action Rebinding Attacks against Android GUI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving EncryptionRetrieval-augmented generation → Privacy and security of RAG
- FlowIID: Single-Step Intrinsic Image Decomposition via Latent Flow MatchingDiffusion models → Flow matching, time series and science
- MARO: Learning Stronger Reasoning from Social InteractionLLM reasoning → Reasoning for agents, planning and code
- Explanova: Automatically Discover Data Insights in N × M Table via XAI Combined LLM WorkflowLLM agents and tool use → Web, search, and research agents
- GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE TransformerMixture-of-experts → Vision mixture-of-experts
- Survival is the Only Reward: Sustainable Self-Training Through Environment-Mediated SelectionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent BaselineLLM reasoning → Reasoning for agents, planning and code +1
- A Two-Stage Globally-Diverse Adversarial Attack for Vision-Language Pre-training ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential RecommendationMixture-of-experts → MoE for recommender systems
- ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using AgentsLLM reasoning → Reinforcement learning for reasoning +2
- Conversational Context Classification: A Representation Engineering ApproachMechanistic interpretability → Knowledge and representations inside LLMs
- SDiT: Semantic Region-Adaptive for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- An Efficient and Multi-Modal Navigation System with One-Step World ModelWorld models → World models for navigation
- Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model RankersMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Docs2Synth: A Synthetic Data Trained Retriever Framework for Scanned Visually Rich Documents UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- FutureX-Pro: Extending Future Prediction to High-Value Vertical DomainsLLM agents and tool use → Financial trading and forecasting agents
- Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- DiffusionQC: Artifact Detection in Histopathology via Diffusion ModelDiffusion models → Medical imaging and segmentation
- Speculative Sampling with Reinforcement LearningEfficient LLM inference and serving → Speculative decoding +1
- IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking
- Spark-LLM-Eval: A Distributed Framework for Statistically Rigorous Large Language Model Evaluation
- An Embodied Companion for Visual Storytelling
- Exploring Human-in-the-Loop Themes in AI Application Development: An Empirical Thematic Analysis
- Visualizing and Benchmarking LLM Factual Hallucination Tendencies via Internal State Analysis and Clustering
- Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
- IFNSO: Iteration-Free Newton-Schulz Orthogonalization
- Asynchronous MultiAgent Reinforcement Learning for 5G Routing under Side Constraints
- Synthetic Student Responses: LLM-Extracted Features for IRT Difficulty Parameter Estimation
- Happy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation
- Construct, Align, and Reason: Large Ontology Models for Enterprise Knowledge Management
- Stablecoin Design with Adversarial-Robust Multi-Agent Systems via Trust-Weighted Signal Aggregation
- Analyzing the Temporal Factors for Anxiety and Depression Symptoms with the Rashomon Perspective
- Prometheus Mind: Retrofitting Memory to Frozen Language Models
- An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection
- Guided by the Plan: Enhancing Faithful Autoregressive Text-to-Audio Generation with Guided Decoding
- DDSA: Dual-Domain Strategic Attack for Spatial-Temporal Efficiency in Adversarial Robustness Testing
- Towards Robust Universal Perturbation Attacks: A Float-Coded, Penalty-Driven Evolutionary Approach
- Learning Deterministic Finite-State Machines from the Prefixes of a Single String is NP-Complete
- Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing
- Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations
- What Trace Powers Reveal About Log-Determinants: Closed-Form Estimators, Certificates, and Failure Modes
- HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications
- onepot CORE -- an enumerated chemical space to streamline drug discovery, enabled by automated small molecule synthesis and AI
- SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition
- Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization
- SLAP: Scalable Language-Audio Pretraining with Variable-Duration Audio and Multi-Objective Training
- A Theory of Diversity for Random Matrices with Applications to In-Context Learning of Schr"odinger Equations
- Ontology-aligned structuring and reuse of multimodal materials data and workflows towards automatic reproduction
- Camera Pose Revisited
- Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory
- Evaluating Contextually Mediated Factual Recall in Multilingual Large Language Models
- Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
- PISE: Physics-Anchored Semantically-Enhanced Deep Computational Ghost Imaging for Robust Low-Bandwidth Machine Perception
- Benchmarking Concept-Spilling Across Languages in LLMs
- How Clinicians Think and What AI Can Learn From It
- Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem
- Rethinking the AI Scientist: Interactive Multi-Agent Workflows for Scientific Discovery
- MemeLens: Multilingual Multitask VLMs for Memes
- Encoding Emotion Through Self-Supervised Eye Movement Reconstruction
- BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images
- XRefine: Attention-Guided Keypoint Match Refinement
- Deep Feature Deformation Weights
- Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaging
- Approximating splits for decision trees quickly in sparse data streams
- Learning Relativistic Geodesics and Chaotic Dynamics via Stabilized Lagrangian Neural Networks
All 186
- Cooperative Multi-agent RL with Communication Constraints
- Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images
- CoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images
- Semidefinite Programming for Quantum Channel Learning
- Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods
- Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs
- A Mixture of Experts Vision Transformer for High-Fidelity Surface Code Decoding
- NeuralFur: Animal Fur Reconstruction From Multi-View Images
- Capability-Aware Early-Stage Research Idea Evaluation
- Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
- DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
- Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting
- Large-scale EM Benchmark for Multi-Organelle Instance Segmentation in the Wild
- Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees
- Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery
- Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition
- Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering
- SkeFi: Cross-Modal Knowledge Transfer for Wireless Skeleton-Based Action Recognition
- Graph Attention Networks with Physical Constraints for Anomaly Detection
- HOT-POT: Optimal Transport for Sparse Stereo Matching
- Legal Experts Disagree With Rationale Extraction Techniques for Explaining ECtHR Case Outcome Classification
- Are LLMs Smarter Than Chimpanzees? An Evaluation on Perspective Taking and Knowledge State Estimation
- De-Anonymization at Scale via Tournament-Style Attribution
- Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants
- Weaknesses of Facial Emotion Recognition Systems
- BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training
- Psych=eChat: An Empathic Framework Focused on Emotion Shift Tracking and Safety Risk Analysis in Psychological Counseling
- NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages
- A Hierarchical Benchmark of Foundation Models for Dermatology
- Statistical-Neural Interaction Networks for Interpretable Mixed-Type Data Imputation
- Utilizing the Score of Data Distribution for Hyperspectral Anomaly Detection
- LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G
- A Scalable Entity-Based Framework for Auditing Bias in Large Language Models
- CD-TWINSAFE: A ROS-enabled Digital Twin for Scene Understanding and Safety Emerging V2I Technology
- DepthCropSeg++: Scaling a Crop Segmentation Foundation Model With Depth-Labeled Data
- Machine Learning-Based Framework for Real Time Detection and Early Prediction of Control Valve Stiction in Industrial Control Systems
- SimpleMatch: A Simple and Strong Baseline for Semantic Correspondence
- Tree-Structured Synergy of Large Language Models and Bayesian Optimization for Efficient CASH
- Adaptive Rotary Steering with Joint Autoregression for Robust Extraction of Closely Moving Speakers in Dynamic Scenarios
- How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
- Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs
- Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations
- Turbo-GoDec: Exploiting the Cluster Sparsity Prior for Hyperspectral Anomaly Detection
- IceWatch: Forecasting Glacial Lake Outburst Floods (GLOFs) using Multimodal Deep Learning
- The Expert Validation Framework (EVF): Enabling Domain Expert Control in AI Engineering
- EmoKGEdit: Training-free Affective Injection via Visual Cue Transformation
- Multi-Sensor Matching with HyperNetworks
- Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays
- Beyond Human Annotation: Recent Advances in Data Generation Methods for Document Intelligence
- S^2F-Net:A Robust Spatial-Spectral Fusion Framework for Cross-Model AIGC Detection
- CurConMix+: A Unified Spatio-Temporal Framework for Hierarchical Surgical Workflow Understanding
- Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach
- Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification
- Machine Learning as a Service (MLaaS) Dataset Generator Framework for IoT Environments
- Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
- Distribution Shift Is Key to Learning Invariant Prediction
- OpenNavMap: Multi-Session Appearance-Based Topometric Mapping for Scalable Visual Navigation
- ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
- TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization
- LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines
- CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training
- HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
- Predictive Prototyping: Evaluating Design Concepts with ChatGPT
- AgenticPruner: MAC-Constrained Neural Network Compression via LLM-Driven Strategy Search
- Environment-Aware Code Generation: How far are We?
- DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression
- Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy
- Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration
- DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression
- Federated Joint Learning for Domain and Class Generalization
- Breaking Coordinate Overfitting: Geometry-Aware WiFi Sensing for Cross-Layout 3D Pose Estimation
- An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion
- AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering
- Less is More: Label-Guided Efficient Summarization of Procedural and Instructional Videos
- Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning
- On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
- Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models
- Wavelet-Aware Anomaly Detection in Multi-Channel User Logs via Deviation Modulation and Resolution-Adaptive Attention
- Learning Longitudinal Health Representations from EHR and Wearable Data
- Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion
- Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation
- Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models
- One-Sided Matrix Completion from Ultra-Sparse Samples
- CoReflect: A Reflective Co-Evolution Framework for Improving Conversational Evaluation
- Do Neural Codecs Generalize? A Controlled Study Across Unseen Languages and Non-Speech Tasks
- CTC-DID: CTC-Based Arabic dialect identification for streaming applications