Papers
Sun 12 Oct 2025
226 papers
- Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic GamesLLM reasoning → Test-time compute and efficient thinking +1
- Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial PromptsLLM safety and security → Jailbreaking
- LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization ProblemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- One Token Embedding Is Enough to Deadlock Your Large Reasoning ModelLLM reasoning → Reasoning for agents, planning and code
- From Craft to Constitution: A Governance-First Paradigm for Principled Agent EngineeringLLM agents and tool use → Software engineering coding agents
- Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQARetrieval-augmented generation → Medical and biomedical RAG
- MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic TrainingLLM agents and tool use → Web, search, and research agents
- Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment PlanningLLM agents and tool use → Medical and scientific domain agents
- Discrete State Diffusion Models: A Sample Complexity PerspectiveDiffusion models → Diffusion foundations and sampling
- DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question AnsweringRetrieval-augmented generation → Legal and financial RAG
- Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent OrchestrationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- The Fragility of Strategic Thinking in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based StructuresRetrieval-augmented generation → RAG pipeline design and evaluation
- Review of Inference-Time Scaling Strategies: Reasoning, Search and RAGLLM reasoning → Test-time compute and efficient thinking
- Understanding Sampler Stochasticity in Training Diffusion Models for RLHFDiffusion models → Diffusion and flow policies for robotics +1
- Controllable Generative Trajectory Prediction via Weak Preference AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Missing Data Multiple Imputation for Tabular Q-Learning in Online RLDeep reinforcement learning methods → Deep RL algorithms and representations
- Adaptive Selection of Symbolic Languages for Improving LLM Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Extended Triangular Method: A Generalized Algorithm for Contradiction Separation Based Automated DeductionLLM reasoning → Mathematical reasoning
- Digital Twin-enabled Multi-generation Control Co-Design with Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMsLLM reasoning → Audio-language model reasoning +1
- Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training DataLLM reasoning → Reasoning for agents, planning and code
- Simpliflow: A Lightweight Open-Source Framework for Rapid Creation and Deployment of Generative Agentic AI WorkflowsLLM agents and tool use → Software engineering coding agents
- AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D ScenesWorld models → Video-generation world models and simulators +1
- BrowserAgent: Building Web Agents with Human-Inspired Web Browsing ActionsLLM agents and tool use → Web, search, and research agents
- AGENTIQL: An Agent-Inspired Multi-Expert Framework for Text-to-SQL GenerationLLM agents and tool use → Web, search, and research agents
- DEMO: Disentangled Motion Latent Flow Matching for Fine-Grained Controllable Talking Portrait SynthesisDiffusion models → Audio, speech and music
- Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningLLM reasoning → Reinforcement learning for reasoning
- UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation LearningVision-language-action models → World model-based VLA
- ProteinAE: Protein Diffusion Autoencoders for Structure EncodingDiffusion models → Flow matching, time series and science
- ImpMIA: Leveraging Implicit Bias for Membership Inference AttackLLM safety and security → Membership inference attacks
- Assessing Policy Updates: Toward Trust-Preserving Intelligent User InterfacesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- OmniQuality-R: Advancing Reward Models Through All-Encompassing Quality AssessmentLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- A Layered Intuition -- Method Model with Scope Extension for LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution DetectionMixture-of-experts → Vision mixture-of-experts
- Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging ScenesDiffusion models → Video generation
- Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge DevicesMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- PAC-Bayesian Reinforcement Learning Trains Generalizable PoliciesDeep reinforcement learning methods → RL theory and sample complexity
- Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?LLM reasoning → Reinforcement learning for reasoning
- Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive PromptingLLM reasoning → Test-time compute and efficient thinking
- VR-Thinker: Boosting Video Reward Models through Thinking-with-Image ReasoningLLM reasoning → Multimodal reasoning +1
- MARS-Sep: Multimodal-Aligned Reinforced Sound SeparationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Align2Act: Instruction-Tuned Models for Human-Aligned Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and MaskingDiffusion models → 3D, point cloud and scene generation
- Tracing the Traces: Latent Temporal Signals for Efficient and Accurate ReasoningLLM reasoning → Test-time compute and efficient thinking
- Towards Self-Refinement of Vision-Language Models with Triangular ConsistencyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Latent Retrieval Augmented Generation of Cross-Domain Protein BindersRetrieval-augmented generation → Medical and biomedical RAG
- MSF-Mamba: Motion-aware State Fusion Mamba for Efficient Micro-Gesture RecognitionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- FML-bench: Benchmarking Machine Learning Agents for Scientific ResearchLLM agents and tool use → Web, search, and research agents
- When Images Speak Louder: Mitigating Language Bias-induced Hallucinations in VLMs through Cross-Modal GuidanceMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MedCoAct: Confidence-Aware Multi-Agent Collaboration for Complete Clinical DecisionLLM agents and tool use → Medical and scientific domain agents
- Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code GenerationLLM agents and tool use → Software engineering coding agents
- Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk PredictionLLM reasoning → Clinical and biomedical applications +1
- Steering Over-refusals Towards Safety in Retrieval Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +2
- RECON: Reasoning with Condensation for Efficient Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +2
- MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose EstimationDiffusion models → 3D, point cloud and scene generation
- Hierarchical LoRA MoE for Efficient CTR Model ScalingMixture-of-experts → MoE for recommender systems
- Taming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Trace Length is a Simple Uncertainty Signal in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- PrediQL: Automated Testing of GraphQL APIs with LLMsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search GuidanceDiffusion models → Flow matching, time series and science
- RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language ModelsRetrieval-augmented generation → Hallucination detection in RAG
- Quantum NLP models on Natural Language Inference
- A Graph-Attentive LSTM Model for Malicious URL Detection
- Predict Training Data Quality via Its Geometry in Metric Space
- Self-Attention to Operator Learning-based 3D-IC Thermal Simulation
- Gains: Fine-grained Federated Domain Adaptation in Open Set
- PISA: A Pragmatic Psych-Inspired Unified Memory System for Enhanced AI Agency
- Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
- Evaluation and Implementation of Machine Learning Algorithms to Predict Early Detection of Kidney and Heart Disease in Diabetic Patients
- Decision Oriented Technique (DOTechnique): Finding Model Validity Through Decision-Maker Context
- Harnessing Consistency for Robust Test-Time LLM Ensemble
- R2T: Rule-Encoded Loss Functions for Sequence Tagging in Low-Resource Languages
- Gobernanza y trazabilidad "a prueba de AI Act" para casos de uso legales: un marco t'ecnico-jur'idico, m'etricas forenses y evidencias auditables
- Artificial Intelligence for Optimal Learning: A Comparative Approach towards AI-Enhanced Learning Environments
- Fast and Interpretable Protein Substructure Alignment via Optimal Transport
- PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
- Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion
- Software Defect Prediction using Autoencoder Transformer Model
- Fast and the Furious: Hot Starts in Pursuit-Evasion Games
- Happiness is Sharing a Vocabulary: A Study of Transliteration Methods
- The Irrational Machine: Neurosis and the Limits of Algorithmic Safety
- From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
- Generative AI and the Transformation of Software Development Practices
- DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems
- Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
- Multi-Agent Regime-Conditioned Diffusion (MARCD) for CVaR-Constrained Portfolio Decisions
- Therapeutic AI and the Hidden Risks of Over-Disclosure: An Embedded AI-Literacy Framework for Mental Health Privacy
- PruneGCRN: Minimizing and explaining spatio-temporal problems through node pruning
- MSCloudCAM: Multi-Scale Context Adaptation with Convolutional Cross-Attention for Multispectral Cloud Segmentation
- Toward Human-Centered Readability Evaluation
- Rethinking deep learning: linear regression remains a key benchmark in predicting terrestrial water storage
- Full segmentation annotations of 3D time-lapse microscopy images of MDA231 cells
- ImHead: A Large-scale Implicit Morphable Model for Localized Head Modeling
- BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
- DISC-GAN: Disentangling Style and Content for Cluster-Specific Synthetic Underwater Image Generation
- Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
All 226
- Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods
- HiligayNER: A Baseline Named Entity Recognition Model for Hiligaynon
- Structure Over Signal: A Globalized Approach to Multi-relational GNNs for Stock Prediction
- ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis
- GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
- EGD-YOLO: A Lightweight Multimodal Framework for Robust Drone-Bird Discrimination via Ghost-Enhanced YOLOv8n and EMA Attention under Adverse Condition
- Optimally Deep Networks -- Adapting Model Depth to Datasets for Superior Efficiency
- Large Language Models for Full-Text Methods Assessment: A Case Study on Mediation Analysis
- Restricted Receptive Fields for Face Verification
- Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection
- How Patterns Dictate Learnability in Sequential Data
- Seeing My Future: Predicting Situated Interaction Behavior in Virtual Reality
- A Stochastic Differential Equation Framework for Multi-Objective LLM Interactions: Dynamical Systems Analysis with Code Generation Applications
- Proficiency-Aware Adaptation and Data Augmentation for Robust L2 ASR
- Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits
- Sarcasm Detection Using Deep Convolutional Neural Networks: A Modular Deep Learning Framework
- Rough Path Signatures: Learning Neural RDEs for Portfolio Optimization
- WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting
- SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
- HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
- VLM-Guided Adaptive Negative Prompting for Creative Generation
- Deep Learning in Astrophysics
- Designing ReLU Generative Networks to Enumerate Trees with a Given Tree Edit Distance
- Learning-Augmented Streaming Algorithms for Correlation Clustering
- Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
- Mean-square and sublinear convergence of a stochastic proximal point algorithm in metric spaces of nonpositive curvature
- Stock Prediction via a Dual Relation Fusion Network incorporating Static and Dynamic Relations
- High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator
- Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos
- Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits
- LSZone: A Lightweight Spatial Information Modeling Architecture for Real-time In-car Multi-zone Speech Separation
- Action-Dynamics Modeling and Cross-Temporal Interaction for Online Action Understanding
- RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
- Synergistic Modality-and-Slice Memory Framework for Cross-Modal 3D Brain Tumor Segmentation
- Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation
- Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey
- Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
- Scalable Face Security Vision Foundation Model for Deepfake, Diffusion, and Spoofing Detection
- Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping
- You're Not Gonna Believe This: A Computational Analysis of Factual Appeals and Sourcing in Partisan News
- Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
- A Machine Learning Perspective on Automated Driving Corner Cases
- JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
- Trustworthy Retrosynthesis: Eliminating Hallucinations with a Diverse Ensemble of Reaction Scorers
- Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
- Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany
- Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
- Collaborative Text-to-Image Generation via Multi-Agent Reinforcement Learning and Semantic Fusion
- GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
- FactAppeal: Identifying Epistemic Factual Appeals in News Media
- SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction
- DCP: Addressing Input Dynamism In Long-Context Training via Dynamic Context Parallelism
- A Machine Learning Approach for MIDI to Guitar Tablature Conversion
- Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
- Encoder Decoder Generative Adversarial Network Model for Stock Market Prediction
- Dynamic Topic Evolution with Temporal Decay and Attention in Large Language Models
- UltraScatter: Ray-Based Simulation of Ultrasound Scattering
- ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
- Budget Allocation for Unknown Value Functions in a Lipschitz Space
- FusionGen: Feature Fusion-Based Few-Shot EEG Data Generation
- EA4LLM: A Gradient-Free Approach to Large Language Model Optimization via Evolutionary Algorithms
- SpikeGrasp: A Benchmark for 6-DoF Grasp Pose Detection from Stereo Spike Streams
- A Distance Measure for Random Permutation Set: From the Layer-2 Belief Structure Perspective
- A Simple and Better Baseline for Visual Grounding
- Compositional Symmetry as Compression: Lie Pseudogroup Structure in Algorithmic Agents
- UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation
- Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
- Understanding Self-supervised Contrastive Learning through Supervised Objectives
- Multitask Learning with Learned Task Relationships
- Multi-scale Frequency-Aware Adversarial Network for Parkinson's Disease Assessment Using Wearable Sensors
- MRS-YOLO Railroad Transmission Line Foreign Object Detection Based on Improved YOLO11 and Channel Pruning
- ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding
- GLOFNet -- A Multimodal Dataset for GLOF Monitoring and Prediction
- Detecting Hallucinations in Authentic LLM-Human Interactions
- MCE: Towards a General Framework for Handling Missing Modalities under Imbalanced Missing Rates
- Layout-Independent License Plate Recognition via Integrated Vision and Language Models
- Reinforced Domain Selection for Continuous Domain Adaptation
- Integrating Large Language Models and Reinforcement Learning for Sentiment-Driven Quantitative Trading
- Unified Open-World Segmentation with Multi-Modal Prompts
- Receptive Field Expanded Look-Up Tables for Vision Inference: Advancing from Low-level to High-level Tasks
- ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
- Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
- A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
- f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
- SuperEx: Enhancing Indoor Mapping and Exploration using Non-Line-of-Sight Perception
- Personalized Motion Guidance Framework for Athlete-Centric Coaching
- The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
- Towards Efficient 3D Gaussian Human Avatar Compression: A Prior-Guided Framework
- VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction
- Head-wise Adaptive Rotary Positional Encoding for Fine-Grained Image Generation
- MEASER: Malware embedding attacks on open-source LLMs
- Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
- UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
- Anchor-based Maximum Discrepancy for Relative Similarity Testing
- Assessing Large Language Models for Structured Medical Order Extraction
- When or What? Understanding Consumer Engagement on Digital Platforms
- DAGLFNet: Deep Feature Attention Guided Global and Local Feature Fusion for Pseudo-Image Point Cloud Segmentation
- AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs
- LightSAE: Parameter-Efficient and Heterogeneity-Aware Embedding for IoT Multivariate Time Series Forecasting
- Post-TIPS Prediction via Multimodal Interaction: A Multi-Center Dataset and Framework for Survival, Complication, and Portal Pressure Assessment
- Learning from Disagreement: A Group Decision Simulation Framework for Robust Medical Image Segmentation
- NIM: Neuro-symbolic Ideographic Metalanguage for Inclusive Communication
- Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data?
- On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
- End-to-end Speech Recognition with similar length speech and text
- Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
- Reverse Supervision at Scale: Exponential Search Meets the Economics of Annotation
- Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance
- Does Weighting Improve Matrix Factorization for Recommender Systems?
- Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
- Softmax ≥ Linear: Transformers may learn to classify in-context by kernel gradient descent
- Towards Cybersickness Severity Classification from VR Gameplay Videos Using Transfer Learning and Temporal Modeling
- Combo-Gait: Unified Transformer Framework for Multi-Modal Gait Recognition and Attribute Analysis
- CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints
- Guided Image Feature Matching using Feature Spatial Order
- Mesh-Gait: A Unified Framework for Gait Recognition Through Multi-Modal Representation Learning from 2D Silhouettes
- STEAM: A Semantic-Level Knowledge Editing Framework for Large Language Models
- AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
- AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
- ASC analyzer: A Python package for measuring argument structure construction usage in English texts
- Identifying bias in CNN image classification using image scrambling and transforms
- FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
- RobotFleet: An Open-Source Framework for Centralized Multi-Robot Task Planning
- Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion for Efficient Crack Detection
- Applying non-negative matrix factorization with covariates to label matrix for classification
- Exploration-free Algorithms for Multi-group Mean Estimation