Papers
Tue 11 Nov 2025
453 papers
- DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHFLLM reasoning → Reinforcement learning for reasoning +1
- SYNAPSE: Synergizing an Adapter and Finetuning for High-Fidelity EEG Synthesis from a CLIP-Aligned EncoderDiffusion models → Medical imaging and segmentation
- Graph-Memoized Reasoning: Foundations Structured Workflow Reuse in Intelligent SystemsLLM reasoning → Reasoning for agents, planning and code
- Beyond Superficial Forgetting: Thorough Unlearning through Knowledge Density Estimation and Block Re-insertionLLM safety and security → Machine unlearning
- Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- A methodological analysis of prompt perturbations and their effect on attack success ratesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- SynthTools: A Framework for Scaling Synthetic Tools for Agent DevelopmentLLM agents and tool use → Tool learning and function calling
- VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with AnnealingDiffusion models → Flow matching, time series and science
- Let the Experts Speak: Improving Survival Prediction & Calibration via Mixture-of-Experts HeadsMixture-of-experts → Medical and biomedical MoE
- 3D Guard-Layer: An Integrated Agentic AI Safety System for Edge Artificial IntelligenceLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- DT-NVS: Diffusion Transformers for Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
- Structured Uncertainty guided Clarification for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Interpretable by Design: Query-Specific Neural Modules for Explainable Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Benevolent Dictators? On LLM Agent Behavior in Dictator GamesLLM agents and tool use → Social simulation and multi-agent debate
- Harnessing Diffusion-Generated Synthetic Images for Fair Image ClassificationDiffusion models → Image generation, text-to-image and editing
- Convergence dynamics of Agent-to-Agent Interactions with Misaligned objectivesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive RecursionLLM reasoning → Test-time compute and efficient thinking
- Simulating the Visual World with Artificial Intelligence: A RoadmapWorld models → Video-generation world models and simulators
- SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow AlignmentDiffusion models → Diffusion and flow policies for robotics +1
- DeepProofLog: Efficient Proving in Deep Stochastic Logic ProgramsLLM reasoning → Reasoning benchmarks and evaluation
- Think-at-Hard: Dynamic Looped Transformers for Improved ReasoningLLM reasoning → Test-time compute and efficient thinking
- The Path Not Taken: RLVR Provably Learns Off the PrincipalsLLM reasoning → Reinforcement learning for reasoning
- FMMI: Flow Matching Mutual Information EstimationDiffusion models → Flow matching, time series and science
- Investigating CoT Monitorability in Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- AlphaResearch: Accelerating New Algorithm Discovery with Language ModelsLLM agents and tool use → Web, search, and research agents
- UniVA: Universal Video Agent towards Open-Source Next-Generation Video GeneralistLLM agents and tool use → Multimodal and embodied agents
- Structured RAG for Answering Aggregative QuestionsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM AdaptationLLM reasoning → Reasoning for agents, planning and code
- How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task ComplexityLLM agents and tool use → Agent threats, guardrails and governance
- Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal EmbeddingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and RationaleLLM agents and tool use → Software engineering coding agents
- Coherence Mechanisms for Provable Self-ImprovementSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory OptimizationDiffusion models → Diffusion and flow policies for robotics
- OmniAID: Decoupling Semantics and Artifacts for Universal AI-Generated Image Detection in the WildMixture-of-experts → Vision mixture-of-experts
- Generative AI Meets 6G and Beyond: Diffusion Models for Semantic CommunicationsDiffusion models → Diffusion for compression and wireless
- Faithful-First Reasoning, Planning, and Acting for Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- Anatomy-VLM: A Fine-grained Vision-Language Model for Medical InterpretationMultimodal LLMs / vision-language models → Medical vision-language models
- Interaction Dynamics as a Reward Signal for LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- PCRLLM: Proof-Carrying Reasoning with Large Language Models under Stepwise Logical ConstraintsLLM reasoning → Reasoning benchmarks and evaluation
- SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Why Does Weak-OOD Help? A Further Step Towards Understanding Jailbreaking VLMsLLM safety and security → Vision-language and text-to-image safety
- DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Hybrid Quantum-Classical Selective State Space Artificial IntelligenceState-space sequence models (S4, Mamba) → Core SSM architectures for language
- SASG-DA: Sparse-Aware Semantic-Guided Diffusion Augmentation For Myoelectric Gesture RecognitionDiffusion models → Audio, speech and music
- LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem ExplorationDeep reinforcement learning methods → RL for games and combinatorial optimization
- Adversarial Bias: Data Poisoning Attacks on FairnessLLM safety and security → Backdoor and data poisoning attacks
- AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and ProgressLLM reasoning → Reinforcement learning for reasoning +2
- Adaptive Multi-Agent Response Refinement in Conversational SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author DebatesLLM reasoning → Knowledge- and tool-augmented reasoning
- Concentration bounds on response-based vector embeddings of black-box generative modelsDiffusion models → Diffusion foundations and sampling
- Test-time Diverse Reasoning by Riemannian Activation SteeringLLM reasoning → Test-time compute and efficient thinking +1
- Smarter Together: Creating Agentic Communities of Practice through Shared Experiential LearningLLM agents and tool use → Software engineering coding agents
- SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion TransformerDiffusion models → Flow matching, time series and science
- Multi-Agent GraphRAG: A Text-to-Cypher Framework for Labeled Property GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- Top2Ground: A Height-Aware Dual Conditioning Diffusion Model for Robust Aerial-to-Ground View GenerationDiffusion models → 3D, point cloud and scene generation
- Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion ModelsDiffusion models → Audio, speech and music
- Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PrefPoE: Advantage-Guided Preference Fusion for Learning Where to ExploreDeep reinforcement learning methods → RL training of language and agent models
- Beyond Distributions: Geometric Action Control for Continuous Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- VocalBench-zh: Decomposing and Benchmarking the Speech Conversational Abilities in Mandarin ContextMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- 2D Representation for Unguided Single-View 3D Super-Resolution in Real-TimeState-space sequence models (S4, Mamba) → Vision Mamba backbones
- MADD: Multi-Agent Drug Discovery OrchestraLLM agents and tool use → Medical and scientific domain agents
- Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture +1
- MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender SystemLLM reasoning → LLM reasoning for recommendation +2
- VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with DiffusionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- An Efficient Training Pipeline for Reasoning Graphical User Interface AgentsLLM reasoning → Multimodal reasoning +1
- oboro: Text-to-Image Synthesis on Limited Data using Flow-based Diffusion Transformer with MMH AttentionDiffusion models → Image generation, text-to-image and editing
- SciAgent: A Unified Multi-Agent System for Generalistic Scientific ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- DiffuGR: Generative Document Retrieval with Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning ServicesDeep reinforcement learning methods → RL for energy, networks and operations
- SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred TrajectoriesOffline RL and imitation learning from data → Safe offline RL
- National Institute on Aging PREPARE Challenge: Early Detection of Cognitive Impairment Using Speech -- The SpeechCARE SolutionMixture-of-experts → Medical and biomedical MoE
- Sentence-Anchored Gist Compression for Long-Context LLMsEfficient LLM inference and serving → Prompt and context compression
- Quantification and object perception in Multimodal Large Language Models and human linguistic cognitionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Multimodal LLMs Do Not Compose Skills Optimally Across ModalitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- StableMorph: High-Quality Face Morph Generation with Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning BenchmarksWorld models → Latent dynamics models and model-based RL +1
- CLIP is All You Need for Human-like Semantic Representations in Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow MatchingDiffusion models → Image generation, text-to-image and editing
- From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch DetectionLLM agents and tool use → Agent threats, guardrails and governance
- MSCR: Exploring the Vulnerability of LLMs' Mathematical Reasoning Abilities Using Multi-Source Candidate ReplacementLLM reasoning → Mathematical reasoning
- Dual-Process Scaffold Reasoning for Enhancing LLM Code DebuggingLLM reasoning → Reasoning for agents, planning and code
- DynaAct: Large Language Model Reasoning with Dynamic Action SpacesLLM reasoning → Reasoning benchmarks and evaluation
- Towards a Standard, Enterprise-Relevant Agentic AI Benchmark: Lessons from 5.5 billion tokens' worth of agentic AI evaluationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Multi-modal Deepfake Detection and Localization with FPN-TransformerDiffusion models → Image generation, text-to-image and editing
- Knowledge-Augmented Long-CoT Generation for Complex Biomolecular ReasoningLLM reasoning → Clinical and biomedical applications
- Numerical Sensitivity and Robustness: Exploring the Flaws of Mathematical Reasoning in Large Language ModelsLLM reasoning → Mathematical reasoning
- Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature SelectionLLM reasoning → Knowledge- and tool-augmented reasoning
- Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM ReasoningLLM reasoning → Multimodal reasoning +1
- ChexFract: From General to Specialized -- Enhancing Fracture Description GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM InterpretationSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Continual Unlearning for Text-to-Image Diffusion Models: A Regularization PerspectiveDiffusion models → Robustness, privacy and adversarial aspects +1
- TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching ModelingDiffusion models → Flow matching, time series and science
- ReIDMamba: Learning Discriminative Features with Visual State Space Model for Person Re-IdentificationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction AttacksLLM safety and security → Watermarking generated content and models
- Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn InteractionLLM reasoning → Knowledge- and tool-augmented reasoning
- Balance Equation-based Distributionally Robust Offline Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
All 453
- SpeechJudge: Towards Human-Level Judgment for Speech NaturalnessLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- HD2-SSC: High-Dimension High-Density Semantic Scene Completion for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- SERL: Self-Examining Reinforcement Learning on Open-DomainDeep reinforcement learning methods → RL training of language and agent models
- Feedback Descent: Open-Ended Text Optimization via Pairwise ComparisonLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving StrategyLLM reasoning → Reasoning benchmarks and evaluation
- Rectified Noise: A Generative Model Using Positive-incentive NoiseDiffusion models → Flow matching, time series and science
- Last Layer Logits to Logic: Empowering LLMs with Logic-Consistent Structured Knowledge ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Test-driven Reinforcement Learning in Continuous ControlDeep reinforcement learning methods → Interpretable and logic-guided RL
- SparseRM: A Lightweight Preference Modeling with Sparse AutoencoderLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Algorithm-Relative Trajectory Valuation in Policy Gradient ControlDeep reinforcement learning methods → RL theory and sample complexity
- Visual Bridge: Universal Visual Perception Representations GeneratingDiffusion models → Image generation, text-to-image and editing
- AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social SurveysLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Comparative Study of Q-Learning for State-Feedback LQG Control with an Unknown ModelDeep reinforcement learning methods → RL for games and combinatorial optimization
- Parallel Sampling via AutospeculationDiffusion models → Diffusion foundations and sampling
- WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM WatermarkingLLM safety and security → Watermarking generated content and models
- Safety-Preserving PTQ via Contrastive Alignment LossLLM safety and security → Safety alignment, refusal and guardrails
- MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code GenerationLLM reasoning → Reinforcement learning for reasoning
- Distributionally Robust Online Markov Game with Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- CloudMamba: Grouped Selective State Spaces for Point Cloud AnalysisState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB ViewsLLM reasoning → Spatial and embodied reasoning
- Revisiting MLLM Based Image Quality Assessment: Errors and RemedyMultimodal LLMs / vision-language models → Image editing and quality assessment
- PC-Diffusion: Aligning Diffusion Models with Human Preferences via Preference ClassifierDiffusion models → Diffusion and flow policies for robotics +1
- From Experience to Strategy: Empowering LLM Agents with Trainable Graph MemoryLLM agents and tool use → Agent memory systems
- A Closed-Form Framework for Schr"odinger Bridges Between Arbitrary DensitiesDiffusion models → Diffusion foundations and sampling
- Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- SALT: Steering Activations towards Leakage-free Thinking in Chain of ThoughtLLM reasoning → Reasoning for agents, planning and code
- Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion GenerationDiffusion models → Image generation, text-to-image and editing
- Provable Repair of Deep Neural Network Defects by Preimage Synthesis and Property RefinementLLM safety and security → Machine unlearning
- From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM TrainingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Gate-level boolean evolutionary geometric attention neural networks
- How Modality Shapes Perception and Reasoning: A Study of Error Propagation in ARC-AGI
- MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding
- Majority Rules: LLM Ensemble is a Winning Approach for Content Categorization
- Subject-Independent Imagined Speech Detection via Cross-Subject Generalization and Calibration
- Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow
- Learning with Preserving for Continual Multitask Learning
- Beyond One-Way Pruning: Bidirectional Pruning-Regrowth for Extreme Accuracy-Sparsity Tradeoff
- The Singularity Warfare: The metatheoretical Framework
- Synergistic Feature Fusion for Latent Lyrical Classification: A Gated Deep Learning Architecture
- Evaluation of LLM-based Explanations for a Learning Analytics Dashboard
- H-Model: Dynamic Neural Architectures for Adaptive Processing
- Do traveling waves make good positional encodings?
- Adaptive Stepsizing for Stochastic Gradient Langevin Dynamics in Bayesian Neural Networks
- Clifford Algebraic Rotor Embeddings : Maybe embeddings should start to CARE
- Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks
- SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
- AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation
- DWFF-Net: A Multi-Scale Farmland System Habitat Identification Method with Adaptive Dynamic Weight Feature Fusion
- SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI
- LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
- LAD-BNet: Lag-Aware Dual-Branch Networks for Real-Time Energy Forecasting on Edge Devices
- Group Averaging for Physics Applications: Accuracy Improvements at Zero Training Cost
- General Intelligence-based Fragmentation (GIF): A framework for peak-labeled spectra simulation
- Variable Neighborhood Search for the Electric Vehicle Routing Problem
- Filtering Jump Markov Systems with Partially Known Dynamics: A Model-Based Deep Learning Approach
- Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection
- Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering
- Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms
- TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
- Physics-Informed Machine Learning for Characterizing System Stability
- Neural Value Iteration
- BayesQ: Uncertainty-Guided Bayesian Quantization
- BNLI: A Linguistically-Refined Bengali Dataset for Natural Language Inference
- A Neural-Operator Preconditioned Newton Method for Accelerated Nonlinear Solvers
- SIFT-Graph: Benchmarking Multimodal Defense Against Image Adversarial Attacks With Robust Feature Graph
- Adaptive graph Kolmogorov-Arnold network for 3D human pose estimation
- Effects of label noise on the classification of outlier observations
- Toward Automated Cognitive Assessment in Parkinson's Disease Using Pretrained Language Models
- The Probably Approximately Correct Learning Model in Computational Learning Theory
- A Generalized Bias-Variance Decomposition for Bregman Divergences
- WATSON-Net: Vetting, Validation, and Analysis of Transits from Space Observations with Neural Networks
- Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic
- Information-Driven Fault Detection and Identification for Multi-Agent Spacecraft Systems: Collaborative On-Orbit Inspection Mission
- WiCV at CVPR 2025: The Women in Computer Vision Workshop
- Vector Symbolic Algebras for the Abstraction and Reasoning Corpus
- A Deep Learning-Based Method for Fully Coupled Non-Markovian FBSDEs with Applications
- Gromov-Wasserstein Graph Coarsening
- Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration
- Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
- Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
- Optimal control of the future via prospective learning with control
- Bridging Natural Language and ASP: A Hybrid Approach Using LLMs and AMR Parsing
- Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
- Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?
- Automated Hardware Trojan Insertion in Industrial-Scale Designs
- FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
- PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation
- Practical and Performant Enhancements for Maximization of Algebraic Connectivity
- TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
- Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
- 3D-TDA -- Topological feature extraction from 3D images for Alzheimer's disease classification
- Binary and Multiclass Cyberattack Classification on GeNIS Dataset
- Introduction to Automated Negotiation
- "It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction
- Learning the Basis: A Kolmogorov-Arnold Network Approach Embedding Green's Function Priors
- AI-generated podcasts: Synthetic Intimacy and Cultural Mistranslation in NotebookLM's Audio Overviews
- RS-Net: Context-Aware Relation Scoring for Dynamic Scene Graph Generation
- A Lightweight CNN-Attention-BiLSTM Architecture for Multi-Class Arrhythmia Classification on Standard and Wearable ECGs
- Bio AI Agent: A Multi-Agent Artificial Intelligence System for Autonomous CAR-T Cell Therapy Development with Integrated Target Discovery, Toxicity Prediction, and Rational Molecular Design
- Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
- Training Language Models to Explain Their Own Computations
- SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology
- Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms
- Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models
- Hyperdimensional Decoding of Spiking Neural Networks
- Vision Transformer Based User Equipment Positioning
- A Matter of Interest: Understanding Interestingness of Math Problems in Humans and Language Models
- RePose-NeRF: Robust Radiance Fields for Mesh Reconstruction under Noisy Camera Poses
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- From Semantic Roles to Opinion Roles: SRL Data Extraction for Multi-Task and Transfer Learning in Low-Resource ORL
- 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
- Large Sign Language Models: Toward 3D American Sign Language Translation
- Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications
- CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
- Fast Multi-Organ Fine Segmentation in CT Images with Hierarchical Sparse Sampling and Residual Transformer
- Introducing A Bangla Sentence - Gloss Pair Dataset for Bangla Sign Language Translation and Research
- HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios
- Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-based Intrusion Detection System
- Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models
- Binary Split Categorical feature with Mean Absolute Error Criteria in CART
- Generalizable Blood Cell Detection via Unified Dataset and Faster R-CNN
- Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification
- Generative Artificial Intelligence in Qualitative Research Methods: Between Hype and Risks?
- Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
- One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
- Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance
- Galactification: painting galaxies onto dark matter only simulations using a transformer-based model
- Active Electrosensing and Communication in MARL-trained Weakly Electric Fish Collectives
- Cross-pyramid consistency regularization for semi-supervised medical image segmentation
- An update to PYRO-NN: A Python Library for Differentiable CT Operators
- Identification of Empirical Constitutive Models for Age-Hardenable Aluminium Alloy and High-Chromium Martensitic Steel Using Symbolic Regression
- Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
- Physics-Informed Neural Operators for Cardiac Electrophysiology
- NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
- ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games
- Source-Optimal Training is Transfer-Suboptimal
- Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
- EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecasting
- Unifying Model and Layer Fusion for Speech Foundation Models
- RAPTR: Radar-based 3D Pose Estimation using Transformer
- Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents
- TurkEmbed: Turkish Embedding Model on NLI & STS Tasks
- The Dynamic Articulatory Model DYNARTmo: Dynamic Movement Generation and Speech Gestures
- Multi-objective Hyperparameter Optimization in the Age of Deep Learning
- Text-based Aerial-Ground Person Retrieval
- A Circular Argument : Does RoPE need to be Equivariant for Vision?
- Retrospective motion correction in MRI using disentangled embeddings
- AI-Powered Data Visualization Platform: An Intelligent Web Application for Automated Dataset Analysis
- An Information-Minimal Geometry for Qubit-Efficient Optimization
- From Confusion to Clarity: ProtoScore -- A Framework for Evaluating Prototype-Based XAI
- Extreme Model Compression with Structured Sparsity at Low Precision
- Revealing the Hidden Third Dimension of Point Defects in Two-Dimensional MXenes
- VideoChain: A Transformer-Based Framework for Multi-hop Video Question Generation
- Revisiting Network Traffic Analysis: Compatible network flows for ML models
- JobSphere: An AI-Powered Multilingual Career Copilot for Government Employment Platforms
- HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
- Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
- The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
- Mitigating Negative Flips via Margin Preserving Training
- BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
- Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed framework
- NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
- Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
- Hierarchical structure understanding in complex tables with VLLMs: a benchmark and experiments
- SkelSplat: Robust Multi-view 3D Human Pose Estimation with Differentiable Gaussian Rendering
- Dual-Kernel Graph Community Contrastive Learning
- DiagramIR: An Automatic Pipeline for Educational Math Diagram Evaluation
- Rethinking Explanation Evaluation under the Retraining Scheme
- X-IONet: Cross-Platform Inertial Odometry Network for Pedestrian and Legged Robot
- Bi-objective chance-constrained evolutionary optimization for large-scale open-pit mine scheduling under geological uncertainty
- MAUGIF: Mechanism-Aware Unsupervised General Image Fusion via Dual Cross-Image Autoencoders
- SWAN -- Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces
- Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation
- ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensation
- Uncertainty Calibration of Multi-Label Bird Sound Classifiers
- Data-Driven Discovery of Feature Groups in Clinical Time Series
- LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning
- NERVE: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation
- ParliaBench: An Evaluation and Benchmarking Framework for LLM-Generated Parliamentary Speech
- Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
- A Unified Geometric Field Theory Framework for Transformers: From Manifold Embeddings to Kernel Modulation
- Towards Outcome-Oriented, Task-Agnostic Evaluation of AI Agents
- Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning
- Remodeling Semantic Relationships in Vision-Language Fine-Tuning
- Accurate and Efficient Surface Reconstruction from Point Clouds via Geometry-Aware Local Adaptation
- Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
- Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
- Are Current Continual Learning Methods Truly Agnostic? Introducing OPRE, a Step Toward Agnostic Continual Learning
- Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback
- High-Performance Variance-Covariance Matrix Construction Using an Uncentered Gram Formulation
- Emulating Radiative Transfer in Astrophysical Environments
- Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
- FedPoP: Federated Learning Meets Proof of Participation
- EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks
- From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
- Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
- Twist and Compute: The Cost of Pose in 3D Generative Diffusion
- Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?
- Proof Minimization in Neural Network Verification
- UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets
- UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization
- Towards Provably Unlearnable Examples via Bayes Error Optimisation
- Pixel-level Quality Assessment for Oriented Object Detection
- Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
- Simulation-Based Fitting of Intractable Models via Sequential Sampling and Local Smoothing
- WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
- Deep (Predictive) Discounted Counterfactual Regret Minimization
- Distributed Zero-Shot Learning for Visual Recognition
- KPLM-STA: Physically-Accurate Shadow Synthesis for Human Relighting via Keypoint-Based Light Modeling
- Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
- LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
- Non-Aligned Reference Image Quality Assessment for Novel View Synthesis
- Good flavor search in SU(5): a machine learning approach
- Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
- ProbSelect: Stochastic Client Selection for GPU-Accelerated Compute Devices in the 3D Continuum
- Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
- Relation as a Prior: A Novel Paradigm for LLM-based Document-level Relation Extraction
- PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions
- On the Interplay between Positional Encodings, Morphological Complexity, and Word Order Flexibility
- OTSNet: A Neurocognitive-Inspired Observation-Thinking-Spelling Pipeline for Scene Text Recognition
- Foam Segmentation in Wastewater Treatment Plants: A Federated Learning Approach with Segment Anything Model 2
- A robust methodology for long-term sustainability evaluation of Machine Learning models
- LatentPrintFormer: A Hybrid CNN-Transformer with Spatial Attention for Latent Fingerprint identification
- Advancements in synthetic data extraction for industrial injection molding
- Introducing Nylon Face Mask Attacks: A Dataset for Evaluating Generalised Face Presentation Attack Detection
- Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
- Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
- PerspAct: Enhancing LLM Situated Collaboration Skills through Perspective Taking and Active Vision
- Model Predictive Control is almost Optimal for Heterogeneous Restless Multi-armed Bandits
- Stuart-Landau Oscillatory Graph Neural Network
- Quantizing Whisper-small: How design choices affect ASR performance
- Pruning as Regularization: Sensitivity-Aware One-Shot Pruning in ASR
- Gateways to Tractability for Satisfiability in Pearl's Causal Hierarchy
- Beyond the Pixels: VLM-based Evaluation of Identity Preservation in Reference-Guided Synthesis
- BARD10: A New Benchmark Reveals Significance of Bangla Stop-Words in Authorship Attribution
- HipKittens: Fast and Furious AMD Kernels
- Prudential Reliability of Large Language Models in Reinsurance: Governance, Assurance, and Capital Efficiency
- Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
- Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
- An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
- Online Linear Regression with Paid Stochastic Features
- Clustering-based Anomaly Detection in Multivariate Time Series Data
- Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast
- Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
- I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks
- Re2MaP: Macro Placement by Recursively Prototyping and Packing Tree-based Relocating
- CometNet: Contextual Motif-guided Long-term Time Series Forecasting
- Generalized-Scale Object Counting with Gradual Query Aggregation
- ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation
- WEDepth: Efficient Adaptation of World Knowledge for Monocular Depth Estimation
- From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback
- Perceptual Quality Assessment of 3D Gaussian Splatting: A Subjective Dataset and Prediction Metric
- BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives
- Generalizable Insights for Graph Transformers in Theory and Practice
- High-Quality Proposal Encoding and Cascade Denoising for Imaginary Supervised Object Detection
- HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing
- AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles
- Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
- DOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes
- From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
- EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision
- Self-Correction Distillation for Structured Data Question Answering
- PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
- Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
- Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
- VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation
- Hardware-Aware YOLO Compression for Low-Power Edge AI on STM32U5 for Weeds Detection in Digital Agriculture
- State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?
- The One Where They Brain-Tune for Social Cognition: Multi-Modal Brain-Tuning on Friends
- CSF-Net: Context-Semantic Fusion Network for Large Mask Inpainting
- Capturing Complex Spatial-Temporal Dependencies in Traffic Forecasting: A Self-Attention Approach
- DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion
- Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
- Reliable and Private Utility Signaling for Data Markets
- Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition
- Versatile and Risk-Sensitive Cardiac Diagnosis via Graph-Based ECG Signal Representation
- Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
- Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker
- Multi-Modal Assistance for Unsupervised Domain Adaptation on Point Cloud 3D Object Detection
- Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks
- Speech Emotion Recognition with Phonation Excitation Information and Articulatory Kinematics
- USV Obstacles Detection and Tracking in Marine Environments
- Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
- ISExplore:Informative Segment Selection for Efficient Personalized 3D Talking Face Generation
- Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks
- Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System
- DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
- Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models
- IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
- Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
- An Image-Based Path Planning Algorithm Using a UAV Equipped with Stereo Vision
- CNN-Based Automated Parameter Extraction Framework for Modeling Memristive Devices
- Exploring the Underwater World Segmentation without Extra Training
- Lightweight Diffusion-based Framework for Online Imagined Speech Decoding in Aphasia
- Distinct Theta Synchrony across Speech Modes: Perceived, Spoken, Whispered, and Imagined
- Theoretical Analysis of Power-law Transformation on Images for Text Polarity Detection
- Social Media for Mental Health: Data, Methods, and Findings
- CellARC: Measuring Intelligence with Cellular Automata
- DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
- DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
- Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
- Data Descriptions from Large Language Models with Influence Estimation
- Toward Robust EEG-based Intention Decoding during Misarticulated Speech in Dysarthria
- A Generalized Spectral Framework to Expain Neural Scaling and Compression Dynamics
- Toward Adaptive BCIs: Enhancing Decoding Stability via User State-Aware EEG Filtering
- Confidence-Aware Neural Decoding of Overt Speech from EEG: Toward Robust Brain-Computer Interfaces
- Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level
- Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification
- Intelligence per Watt: Measuring Intelligence Efficiency of Local AI
- Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding
- SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition
- Planned Event Forecasting using Future Mentions and Related Entity Extraction in News Articles
- LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
- LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost
- MonoCLUE : Object-Aware Clustering Enhances Monocular 3D Object Detection
- A General Method for Proving Networks Universal Approximation Property
- GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing Problem
- DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning
- Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization
- Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly
- Multi-Objective Bilevel Learning
- SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control
- Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy
- Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
- Analyzing Political Text at Scale with Online Tensor LDA
- DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
- PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activation
- Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring
- Learning Sparse Label Couplings for Multilabel Chest X-Ray Diagnosis
- Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
- Design, Results and Industry Implications of the World's First Insurance Large Language Model Evaluation Benchmark
- HybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Networks
- CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
- Physical Consistency of Aurora's Encoder: A Quantitative Study
- Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
- Streaming Tensor Programs: A Streaming Abstraction for Dynamic Parallelism
- Taking the Road Less Scheduled with Adaptive Polyak Steps
- Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks
- Back to the Future: The Role of Past and Future Context Predictability in Incremental Language Production
- Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
- Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs
- VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
- UltraGS: Real-Time Physically-Decoupled Gaussian Splatting for Ultrasound Novel View Synthesis
- TurboSAT: Gradient-Guided Boolean Satisfiability Accelerated on GPU-CPU Hybrid System
- Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations
- ViPRA: Video Prediction for Robot Actions
- A Ranking-Based Optimization Algorithm for the Vehicle Relocation Problem in Car Sharing Services
- Critical Confabulation: Can LLMs Hallucinate for Social Good?
- Operational machine learning for remote spectroscopic detection of CH4 point sources
- RoboTAG: End-to-end Robot Configuration Estimation via Topological Alignment Graph
- Cross Modal Fine-Grained Alignment via Granularity-Aware and Region-Uncertain Modeling
- A Negotiation-Based Multi-Agent Reinforcement Learning Approach for Dynamic Scheduling of Reconfigurable Manufacturing Systems