Papers
Wed 22 Oct 2025
393 papers
- Policy Optimization Prefers The Path of Least ResistanceLLM reasoning → Test-time compute and efficient thinking
- SCoPE VLM: Selective Context Processing for Efficient Document Navigation in Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- TowerVision: Understanding and Improving Multilinguality in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Training data membership inference via Gaussian process meta-modeling: a post-hoc analysis approachLLM safety and security → Membership inference attacks
- GAPO: Robust Advantage Estimation for Real-World Code LLMsLLM reasoning → Reinforcement learning for reasoning
- Structured and Abstractive Reasoning on Multi-modal Relational Knowledge ImagesLLM reasoning → Multimodal reasoning +1
- Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMsEfficient LLM inference and serving → Speculative decoding
- Ask What Your Country Can Do For You: Towards a Public Red Teaming ModelLLM safety and security → Prompt injection and agent security
- Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data TrainingLLM reasoning → Clinical and biomedical applications +1
- Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed RewardsDeep reinforcement learning methods → RL theory and sample complexity
- ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware FilteringLLM agents and tool use → Tool learning and function calling
- SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory GraphLLM agents and tool use → Reinforcement learning for LLM agents
- Communication to Completion: Modeling Collaborative Workflows with Intelligent Multi-Agent CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Rethinking Reasoning with MDLMs: Early Exits, Post-hoc Reasoning, and BeyondLLM reasoning → Diffusion reasoning and test-time scaling +1
- Automating Iconclass: LLMs and RAG for Large-Scale Classification of Religious WoodcutsRetrieval-augmented generation → Multimodal RAG
- A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous NetworksLLM agents and tool use → Agentic AI for wireless networks
- Guiding diffusion models to reconstruct flow fields from sparse dataDiffusion models → Flow matching, time series and science
- LyriCAR: A Difficulty-Aware Curriculum Reinforcement Learning Framework For Controllable Lyric TranslationDeep reinforcement learning methods → RL training of language and agent models
- Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty SetsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Surfer 2: The Next Generation of Cross-Platform Computer Use AgentsLLM agents and tool use → GUI and mobile agents
- Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent AdaptationLLM agents and tool use → Agent memory systems
- Can They Dixit? Yes they Can! Dixit as a Playground for Multimodal Language Model CapabilitiesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug DiscoveryDiffusion models → Flow matching, time series and science
- Stream: Scaling up Mechanistic Interpretability to Long Context in LLMs via Sparse AttentionMechanistic interpretability → Knowledge and representations inside LLMs
- From Large to Small: Transferring CUDA Optimization Expertise via Reasoning GraphLLM reasoning → Reasoning for agents, planning and code +1
- An Integrated Approach to Neural Architecture Search for Deep Q-NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
- From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion ModelDiffusion models → Discrete and text diffusion
- Knowledge-Guided Multi-Agent Framework for Application-Level Software Code GenerationLLM agents and tool use → Software engineering coding agents
- Semantic World ModelsWorld models → Embodied and robot world models +1
- Hubble: a Model Suite to Advance the Study of LLM MemorizationLLM safety and security → Machine unlearning
- Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- The Art of Asking: Multilingual Prompt Optimization for Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Blackbox Model Provenance via Palimpsestic Membership InferenceLLM safety and security → Machine unlearning
- ToolDreamer: Instilling LLM Reasoning Into Tool RetrieversLLM reasoning → Knowledge- and tool-augmented reasoning +1
- OmniMotion-X: Versatile Multimodal Whole-Body Motion GenerationDiffusion models → Video generation
- Benchmarking World-Model Learning with Environment-Level QueriesWorld models → World models for language agents
- AdaSPEC: Selective Knowledge Distillation for Efficient Speculative DecodersEfficient LLM inference and serving → Speculative decoding +1
- Estimating Model-Level Membership Inference Vulnerability Without Reference ModelsLLM safety and security → Membership inference attacks
- Beyond Reactivity: Measuring Proactive Problem Solving in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought ExplorationLLM reasoning → Test-time compute and efficient thinking
- SEA: Semantic Map Prediction for Active Exploration of Uncertain AreasDeep reinforcement learning methods → RL for robot navigation and UAV control
- A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal GenerationDiffusion models → Diffusion foundations and sampling
- Learning Affordances at Inference-Time for Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- Memo: Training Memory-Efficient Embodied Agents with Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Fast Inference via Hierarchical Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and VocabularyLLM agents and tool use → Software engineering coding agents
- I Spy With My Model's Eye: Visual Search as a Behavioural Test for MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- CoSense-LLM: Semantics at the Edge with Cost- and Uncertainty-Aware Cloud-Edge CooperationEfficient LLM inference and serving → Early exit and edge inference
- DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM InferenceLLM reasoning → Test-time compute and efficient thinking +1
- From Forecasting to Planning: Policy World Model for Collaborative State-Action PredictionWorld models → Embodied and robot world models +1
- CoRoVA: Compressed Representations for Vector-Augmented Code CompletionRetrieval-augmented generation → RAG for code
- HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule ApplicationLLM agents and tool use → Social simulation and multi-agent debate
- MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local ZoomLLM reasoning → Clinical and biomedical applications +2
- FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented GenerationRetrieval-augmented generation → RAG for code
- XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest RadiographyMultimodal LLMs / vision-language models → Medical vision-language models
- CBDiff:Conditional Bernoulli Diffusion Models for Image Forgery LocalizationDiffusion models → Image generation, text-to-image and editing
- Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning SegmentationLLM reasoning → Multimodal reasoning +1
- VGD: Visual Geometry Gaussian Splatting for Feed-Forward Surround-view Driving ReconstructionEnd-to-end autonomous driving → Generative simulation for driving
- DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- A Matter of Time: Revealing the Structure of Time in Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- [De|Re]constructing VLMs' Reasoning in CountingLLM reasoning → Multimodal reasoning +1
- The Confusing Instance Principle for Online Linear Quadratic ControlDeep reinforcement learning methods → RL for games and combinatorial optimization
- Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Learning Upper Lower Value Envelopes to Shape Online RL: A Principled ApproachDeep reinforcement learning methods → RL theory and sample complexity
- Modeling realistic human behavior using generative agents in a multimodal transport system: Software architecture and Application to ToulouseLLM agents and tool use → Multimodal and embodied agents
- CARES: Context-Aware Resolution Selector for VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods
- Machine Text Detectors are Membership Inference AttacksLLM safety and security → Membership inference attacks
- VideoAgentTrek: Computer Use Pretraining from Unlabeled VideosLLM agents and tool use → GUI and mobile agents
- Graph Unlearning Meets Influence-aware Negative Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- A Concrete Roadmap towards Safety Cases based on Chain-of-Thought MonitoringLLM reasoning → Prompting and chain-of-thought reasoning
- g-DPO: Scalable Preference Optimization for Protein Language ModelsLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
- HybridEP: Scaling Expert Parallelism to Cross-Datacenter Scenario via Hybrid Expert/Data TransmissionMixture-of-experts → Efficient MoE training and inference systems
- AegisMCP: Online Graph Intrusion Detection for Tool-Augmented LLMs on Edge DevicesLLM agents and tool use → Agent threats, guardrails and governance
- MINED: Probing and Updating with Multimodal Time-Sensitive Knowledge for Large Multimodal ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based PsychoanalysisLLM reasoning → Multimodal reasoning +1
- AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving SystemsLLM agents and tool use → Multimodal and embodied agents
- GigaBrain-0: A World Model-Powered Vision-Language-Action ModelWorld models → Embodied and robot world models +1
- NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied ReasoningLLM reasoning → Spatial and embodied reasoning
- ETOM: A Five-Level Benchmark for Evaluating Tool Orchestration within the MCP EcosystemLLM agents and tool use → Tool learning and function calling
- LLM Unlearning with LLM BeliefsLLM safety and security → Machine unlearning
- Securing Multi-Agent Systems Against Corruptions via Node Contribution BackpropagationLLM agents and tool use → Agent threats, guardrails and governance
- Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic ScenesLLM reasoning → Spatial and embodied reasoning +1
- ColorAgent: Building A Robust, Personalized, and Interactive OS AgentLLM agents and tool use → GUI and mobile agents
- Optimization Benchmark for Diffusion Models on Dynamical SystemsDiffusion models → Diffusion foundations and sampling
- On the Hardness of Reinforcement Learning with Transition Look-AheadDeep reinforcement learning methods → RL theory and sample complexity
- MoE-Prism: Disentangling Monolithic Experts for Elastic MoE Services via Model-System Co-DesignsMixture-of-experts → Efficient MoE training and inference systems
- ProTerrain: Probabilistic Physics-Informed Rough Terrain World ModelingWorld models → World models for navigation
- LoongRL: Reinforcement Learning for Advanced Reasoning over Long ContextsLLM reasoning → Test-time compute and efficient thinking
- AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data GenerationLLM reasoning → Mathematical reasoning +1
- M3-SLU: Evaluating Speaker-Attributed Reasoning in Multimodal Large Language ModelsLLM reasoning → Audio-language model reasoning +1
- Imitation Learning Policy based on Multi-Step Consistent Integration Shortcut ModelDiffusion models → Diffusion and flow policies for robotics +1
- DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone AgentsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- A Training-Free Framework for Open-Vocabulary Image Segmentation and Recognition with EfficientNet and CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Slot Filling as a Reasoning Task for SpeechLLMsLLM reasoning → Reasoning benchmarks and evaluation
- Balancing Rewards in Text Summarization: Multi-Objective Reinforcement Learning via HyperVolume OptimizationDeep reinforcement learning methods → RL training of language and agent models
- KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented ControlsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Continual Knowledge Adaptation for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
All 393
- Unified Reinforcement and Imitation Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling WallDiffusion models → Discrete and text diffusion +1
- Collaborative penetration testing suite for emerging generative AI algorithmsLLM safety and security → Prompt injection and agent security
- Learning to Make Friends: Coaching LLM Agents toward Emergent Social TiesLLM agents and tool use → Social simulation and multi-agent debate
- Knowledge Distillation of Uncertainty using Deep Latent Factor ModelKnowledge distillation → General knowledge distillation methods
- TheMCPCompany: Creating General-purpose Agents with Task-specific ToolsLLM agents and tool use → Tool learning and function calling
- D2D: Detector-to-Differentiable Critic for Improved Numeracy in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- From Specification to Service: Accelerating API-First Development Using Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- SCEESR: Semantic-Control Edge Enhancement for Diffusion-Based Super-ResolutionDiffusion models → Inverse problems and image restoration
- Social World Model-Augmented Mechanism Design Policy LearningWorld models → World models for language agents
- Data Efficient Any Transformer-to-Mamba Distillation via Attention BridgeState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Difficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- RailS: Load Balancing for All-to-All Communication in Distributed Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
- SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large SpreadsheetsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- See, Think, Act: Online Shopper Behavior Simulation with VLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action EnvironmentsDeep reinforcement learning methods → Interpretable and logic-guided RL
- SPOT: Scalable Policy Optimization with Trees for Markov Decision ProcessesDeep reinforcement learning methods → Interpretable and logic-guided RL
- Controllable Machine Unlearning via Gradient PivotingLLM safety and security → Machine unlearning
- RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMsLLM reasoning → Reinforcement learning for reasoning
- Enhancing Graph Neural Networks: A Mutual Learning ApproachKnowledge distillation → Graph neural network distillation
- MoE-GS: Mixture of Experts for Dynamic Gaussian SplattingMixture-of-experts → Vision mixture-of-experts
- Defending Against Prompt Injection with DataFilterLLM safety and security → Prompt injection and agent security
- WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph RepresentationLLM agents and tool use → Web, search, and research agents
- A Communication-Efficient Decentralized Actor-Critic AlgorithmDeep reinforcement learning methods → RL for games and combinatorial optimization
- Rethinking Driving World Model as Synthetic Data Generator for Perception TasksWorld models → World models for autonomous driving +1
- Video Consistency Distance: Enhancing Temporal Consistency for Image-to-Video Generation via Reward-Based Fine-TuningDiffusion models → Video generation
- PruneHal: Reducing Hallucinations in Multi-modal Large Language Models through Adaptive KV Cache PruningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Interpretable Question Answering with Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Think Straight, Stop Smart: Structured Reasoning for Efficient Multi-Hop RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- OpenGuardrails: A Configurable, Unified, and Scalable Guardrails Platform for Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Step-Aware Residual-Guided Diffusion for EEG Spatial Super-ResolutionDiffusion models → Medical imaging and segmentation
- Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear ExpressionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- HAMLOCK: HArdware-Model LOgically Combined attacKLLM safety and security → Backdoor and data poisoning attacks
- Policy Gradient Method for LQG Control via Input-Output-History Representation: Convergence to O(ε)-Stationary PointsDeep reinforcement learning methods → RL for games and combinatorial optimization
- DyPBP: Dynamic Peer Beneficialness Prediction for Cryptocurrency P2P Networking
- Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification
- A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
- Dingtalk DeepResearch: A Unified Multi Agent Framework for Adaptive Intelligence in Enterprise Environments
- Genotype-Phenotype Integration through Machine Learning and Personalized Gene Regulatory Networks for Cancer Metastasis Prediction
- SIGN: Schema-Induced Games for Naming
- Interpretable Diagnostics and Adaptive Data Assimilation for Neural ODEs via Discrete Empirical Interpolation
- Data-Driven Approach to Capitation Reform in Rwanda
- KARIPAP: Quantum-Inspired Tensor Network Compression of Large Language Models Using Infinite Projected Entangled Pair States and Tensor Renormalization Group
- Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?
- RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification
- Improving the Physics of Video Generation with VJEPA-2 Reward Signal
- Evaluating ChatGPT's Performance in Classifying Pneumonia from Chest X-Ray Images
- Quantum Autoencoders for Anomaly Detection in Cybersecurity
- COLA: Continual Learning via Autoencoder Retrieval of Adapters
- A Multimodal, Multitask System for Generating E Commerce Text Listings from Images
- Restoring Pruned Large Language Models via Lost Component Compensation
- Towards Accurate and Efficient Waste Image Classification: A Hybrid Deep Learning and Machine Learning Approach
- A Flow Model with Low-Rank Transformers for Incomplete Multimodal Survival Analysis
- Precise classification of low quality G-banded Chromosome Images by reliability metrics and data pruning classifier
- Fuzzy numbers revisited: operations on extensional fuzzy numbers
- Data-Centric Lessons To Improve Speech-Language Pretraining
- Lightweight Classifier for Detecting Intracranial Hemorrhage in Ultrasound Data
- Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization
- Alternatives to the Laplacian for Scalable Spectral Clustering with Group Fairness Constraints
- Data-Adaptive Transformed Bilateral Tensor Low-Rank Representation for Clustering
- LLMs can hide text in other text of the same length
- Filter-Based Reconstruction of Images from Events
- Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics
- A Multi-Layer Machine Learning and Econometric Pipeline for Forecasting Market Risk: Evidence from Cryptoasset Liquidity Spillovers
- Endogenous Aggregation of Multiple Data Envelopment Analysis Scores for Large Data Sets
- From Facts to Folklore: Evaluating Large Language Models on Bengali Cultural Knowledge
- Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
- Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
- Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
- Throwing Vines at the Wall: Structure Learning via Random Search
- Improving Transfer Learning for Sequence Labeling Tasks by Adapting Pre-trained Neural Language Models
- Speculative Sampling for Parametric Temporal Point Processes
- On Encoding Matrices using Quantum Circuits
- BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography
- The Temporal Graph of Bitcoin Transactions
- Extreme Views: 3DGS Filter for Novel View Synthesis from Out-of-Distribution Camera Poses
- Optimized Distortion in Linear Social Choice
- Machine Learning-Based Localization Accuracy of RFID Sensor Networks via RSSI Decision Trees and CAD Modeling for Defense Applications
- Simultaneously Solving Infinitely Many LQ Mean Field Games In Hilbert Spaces: The Power of Neural Operators
- A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance
- AI Pose Analysis and Kinematic Profiling of Range-of-Motion Variations in Resistance Training
- Improving Predictive Confidence in Medical Imaging via Online Label Smoothing
- Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation
- Beyond MedQA: Towards Real-world Clinical Decision Making in the Era of LLMs
- Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
- A Framework for the Adoption and Integration of Generative AI in Midsize Organizations and Enterprises (FAIGMOE)
- A Fundamental Algorithm for Dependency Parsing (With Corrections)
- LLM-Augmented Symbolic NLU System for More Reliable Continuous Causal Statement Interpretation
- FutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking
- Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
- SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment
- Towards Strong Certified Defense with Universal Asymmetric Randomization
- Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
- AI-Driven Personalized Learning: Predicting Academic Per-formance Through Leadership Personality Traits
- A new wave of vehicle insurance fraud fueled by generative AI
- Transformed Multi-view 3D Shape Features with Contrastive Learning
- RELATE: A Schema-Agnostic Perceiver Encoder for Multimodal Relational Graphs
- On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
- Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets
- Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
- Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
- Beyond the Ideal: Analyzing the Inexact Muon Update
- FINDER: Feature Inference on Noisy Datasets using Eigenspace Residuals
- BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills
- Enhancing Diagnostic Accuracy for Urinary Tract Disease through Explainable SHAP-Guided Feature Selection and Classification
- Large Language Model enabled Mathematical Modeling
- EQPO: Equitable Group Relative Policy Optimization for Clinical Reasoning
- Deep Sequence-to-Sequence Models for GNSS Spoofing Detection
- From Optimization to Prediction: Transformer-Based Path-Flow Estimation to the Traffic Assignment Problem
- An Expert-grounded benchmark of General Purpose LLMs in LCA
- Quantifying Feature Importance for Online Content Moderation
- Automated HIV Screening on Dutch Electronic Health Records with Large Language Models
- Transforming Multi-Omics Integration with GANs: Applications in Alzheimer's and Cancer
- Artificial Intelligence Powered Identification of Potential Antidiabetic Compounds in Ficus religiosa
- An Evaluation of the Pedagogical Soundness and Usability of AI-Generated Lesson Plans Across Different Models and Prompt Frameworks in High-School Physics
- SODBench: A Large Language Model Approach to Documenting Spreadsheet Operations
- Is This Tracker On? A Benchmark Protocol for Dynamic Tracking
- olmOCR 2: Unit Test Rewards for Document OCR
- Toward A Better Understanding of Monocular Depth Evaluation
- Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing
- The Feasibility of Training Sovereign Language Models in the Global South: A Study of Brazil and Mexico
- Integrating Transparent Models, LLMs, and Practitioner-in-the-Loop: A Case of Nonprofit Program Evaluation
- Transformers are almost optimal metalearners for linear classification
- On Controlled Change: Generative AI's Impact on Professional Authority in Journalism
- Environment Inference for Learning Generalizable Dynamical System
- Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
- GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters
- Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
- Adaptive Distribution-aware Quantization for Mixed-Precision Neural Networks
- CONFEX: Uncertainty-Aware Counterfactual Explanations with Conformal Guarantees
- Transformers Provably Learn Algorithmic Solutions for Graph Connectivity, But Only with the Right Data
- BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
- Misalignment Bounty: Crowdsourcing AI Agent Misbehavior
- Statistical Inference for Linear Functionals of Online Least-squares SGD when t gtrsim d1+δ
- Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning
- Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks
- Enabling Granular Subgroup Level Model Evaluations by Generating Synthetic Medical Time Series
- From Answers to Guidance: A Proactive Dialogue System for Legal Documents
- LyTimeT: Towards Robust and Interpretable State-Variable Discovery
- SEMPO: Lightweight Foundation Models for Time Series Forecasting
- RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
- Explainable Face Presentation Attack Detection via Ensemble-CAM
- Do Prompts Reshape Representations? An Empirical Study of Prompting Effects on Embeddings
- Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation
- Are Large Language Models Sensitive to the Motives Behind Communication?
- Directive, Metacognitive or a Blend of Both? A Comparison of AI-Generated Feedback Types on Student Engagement, Confidence, and Outcomes
- Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translation
- Study of Training Dynamics for Memory-Constrained Fine-Tuning
- Policy Learning with Abstention
- Explainable e-sports win prediction through Machine Learning classification in streaming
- Unraveling Emotions with Pre-Trained Models
- A Graph Engine for Guitar Chord-Tone Soloing Education
- Remarks on a recent preprint of Chernikov and Towsner
- AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing
- Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
- Style Attack Disguise: When Fonts Become a Camouflage for Adversarial Intent
- Latent Space Factorization in LoRA
- Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
- CrossNews-UA: A Cross-lingual News Semantic Similarity Benchmark for Ukrainian, Polish, Russian, and English
- Learning and Simulating Building Evacuation Patterns for Enhanced Safety Design Using Generative Models
- Augmenting Moment Retrieval: Zero-Dependency Two-Stage Learning
- Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
- PBBQ: A Persian Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models
- Beyond sparse denoising in frames: minimax estimation with a scattering transform
- A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting
- Human-Agent Collaborative Paper-to-Page Crafting
- A Goal-Driven Survey on Root Cause Analysis
- Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
- Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research
- Uncertainty evaluation of segmentation models for Earth observation
- Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
- Addressing the Depth-of-Field Constraint: A New Paradigm for High Resolution Multi-Focus Image Fusion
- Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration
- Can You Trust What You See? Alpha Channel No-Box Attacks on Video Object Detection
- HAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking
- The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models
- Conditions for Catastrophic Forgetting in Multilingual Translation
- Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization
- Insights into the Unknown: Federated Data Diversity Analysis on Molecular Data
- PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
- Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
- From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
- Which Evaluation for Which Model? A Taxonomy for Speech Model Assessment
- Teaming LLMs to Detect and Mitigate Hallucinations
- Lookahead Routing for Large Language Models
- Energy-Efficient and Dequantization-Free Q-LLMs: A Spiking Neural Network Approach to Salient Value Mitigation
- What is the Best Sequence Length for BABYLM?
- Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
- KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge
- ELUTQ: Optimizing Quantization Accuracy under LUT-Based Computation for Edge LLMs
- Online Two-Stage Submodular Maximization
- Mitigating representation bias caused by missing pixels in methane plume detection
- PRGCN: A Graph Memory Network for Cross-Sequence Pattern Reuse in 3D Human Pose Estimation
- Predicting before Reconstruction: A generative prior framework for MRI acceleration
- Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition
- PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversarial Networks
- Exploring "Many in Few" and "Few in Many" Properties in Long-Tailed, Highly-Imbalanced IC Defect Classification
- Automated Morphological Analysis of Neurons in Fluorescence Microscopy Using YOLOv8
- A Foundational Theory of Quantitative Abstraction: Adjunctions, Duality, and Logic for Probabilistic Systems
- Multi-Camera Worker Tracking in Logistics Warehouse Considering Wide-Angle Distortion
- Revisiting the Relation Between Robustness and Universality
- Neural Variational Dropout Processes
- FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
- BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models
- From See to Shield: ML-Assisted Fine-Grained Access Control for Visual Data
- EchoFake: A Replay-Aware Dataset for Practical Speech Deepfake Detection
- Spatio-temporal Sign Language Representation and Translation
- ToMMeR -- Efficient Entity Mention Detection from Large Language Models
- Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features
- SONAR-SLT: Multilingual Sign Language Translation via Language-Agnostic Sentence Embedding Supervision
- ARA: Adaptive Rank Allocation for Efficient Large Language Model SVD Compression
- Beyond Uniform SVD:Dual-Level Optimization across Columns and Modules for LLM Compression
- Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
- LMFD: Latent Monotonic Feature Discovery
- A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond
- Survival of the fittest Cox model: Pivotal variable selection for time-to-event data
- Using Temperature Sampling to Effectively Train Robot Learning Policies on Imbalanced Datasets
- AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields
- AMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from Scratch
- Sign Language Translation with Sentence Embedding Supervision
- The Massive Legal Embedding Benchmark (MLEB)
- Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms
- DARE: A Deformable Adaptive Regularization Estimator for Learning-Based Medical Image Registration
- ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
- Learning To Defer To A Population With Limited Demonstrations
- Modeling Turn-Taking with Semantically Informed Gestures
- Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces
- A Markov Decision Process for Variable Selection in Branch & Bound
- A New Type of Adversarial Examples
- Local Obfuscation by GLINER for Impartial Context Aware Lineage: Development and evaluation of PII Removal system
- Foundation Model Forecasts: Form and Function
- To Use or to Refuse? Re-Centering Student Agency with Generative AI in Engineering Design Education
- Nonmonotone subgradient methods based on a local descent lemma
- Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
- Metadata Extraction Leveraging Large Language Models
- BrainMCLIP: Brain Image Decoding with Multi-Layer feature Fusion of CLIP
- Algorithmic Fairness in NLP: Persona-Infused LLMs for Human-Centric Hate Speech Detection
- Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization
- Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters
- Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations
- SORA-ATMAS: Adaptive Trust Management and Multi-LLM Aligned Governance for Future Smart Cities
- Enabling Reconfiguration-Communication Overlap for Collective Communication in Optical Networks
- Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformer
- HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy
- Transformers are Inherently Succinct
- JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
- Topology of Currencies: Persistent Homology for FX Co-movements: A Comparative Clustering Study
- FrogDeepSDM: Improving Frog Counting and Occurrence Prediction Using Multimodal Data and Pseudo-Absence Imputation
- Knowledge and Common Knowledge of Strategies
- QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
- Vision-Based Mistake Analysis in Procedural Activities: A Review of Advances and Challenges
- Error Analysis of Triangular Optimal Transport Maps for Filtering
- Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learning
- Magnetic field estimation using Gaussian process regression for interactive wireless power system design
- MobiAct: Efficient MAV Action Recognition Using MobileNetV4 with Contrastive Learning and Knowledge Distillation
- Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-language Models
- LAPRAD: LLM-Assisted PRotocol Attack Discovery
- An Argumentative Explanation Framework for Generalized Reason Model with Inconsistent Precedents
- ChatGPT Unveils Its Limits: Principles of Law Deliver Checkmate
- FnRGNN: Distribution-aware Fairness in Graph Neural Network
- Advances in 4D Representation: Geometry, Motion, and Interaction
- Synthesizability Prediction of Crystalline Structures with Structure-Aware Feature Learning and Uncertainty Quantification
- Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception
- Mixing Configurations for Downstream Prediction
- Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
- Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition
- Space Object Detection using Multi-frame Temporal Trajectory Completion Method
- Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+
- SFGFusion: Surface Fitting Guided 3D Object Detection with 4D Radar and Camera Fusion
- No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
- DiSRouter: Distributed Self-Routing for LLM Selections
- Shrinkage to Infinity: Reducing Test Error by Inflating the Minimum Norm Interpolator in Linear Models
- Aligning Multilingual News for Stock Return Prediction
- An Active Diffusion Neural Network for Graphs
- GRASPLAT: Enabling dexterous grasping through novel view synthesis
- When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented Dialogue
- Malaria Detection from Blood Cell Images Using XceptionNet
- Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
- News-Aware Direct Reinforcement Trading for Financial Markets
- When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
- FootFormer: Estimating Stability from Visual Input
- Transfer Learning Beyond the Standard Model
- "You Are Rejected!": An Empirical Study of Large Language Models Taking Hiring Evaluations
- Natural Gradient VI: Guarantees for Non-Conjugate Models
- Extreme Event Aware (η-) Learning
- Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
- VeFA: Vector-Based Feature Space Adaptation for Robust Model Fine-Tuning
- Subliminal Corruption: Mechanisms, Thresholds, and Interpretability
- X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
- Tibetan Language and AI: A Comprehensive Survey of Resources, Methods and Challenges
- A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
- Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity