Papers
Thu 21 Aug 2025
315 papers
- Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?LLM reasoning → Prompting and chain-of-thought reasoning
- Cognitive Agents Powered by Large Language Models for Agile Software Project ManagementLLM agents and tool use → Software engineering coding agents
- Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline IntegrationLLM reasoning → Reinforcement learning for reasoning
- UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose EstimationDiffusion models → 3D, point cloud and scene generation
- Glo-VLMs: Leveraging Vision-Language Models for Fine-Grained Diseased Glomerulus ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
- ASIC-Agent: An Autonomous Multi-Agent System for ASIC Design with Benchmark EvaluationLLM agents and tool use → Software engineering coding agents
- Strategic Sample Selection for Improved Clean-Label Backdoor Attacks in Text ClassificationLLM safety and security → Backdoor and data poisoning attacks
- HFX: Joint Design of Algorithms and Systems for Multi-SLO Serving and Fast ScalingEfficient LLM inference and serving → Serving systems and request scheduling
- VT-LVLM-AR: A Video-Temporal Large Vision-Language Model Adapter for Fine-Grained Action Recognition in Long-Term VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode InferenceEfficient LLM inference and serving → KV cache optimization
- Lean Meets Theoretical Computer Science: Scalable Synthesis of Theorem Proving Challenges in Formal-Informal PairsLLM reasoning → Mathematical reasoning
- DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity LinkingLLM agents and tool use → Multimodal and embodied agents
- CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-TuningLLM reasoning → Reinforcement learning for reasoning
- CineScale: Tuning-Free High-Resolution Video GenerationDiffusion models → Video generation
- Visual Autoregressive Modeling for Instruction-Guided Image EditingDiffusion models → Image generation, text-to-image and editing
- Discovering Hidden Algebraic Structures via Transformers with Rank-Aware Beam GRPOLLM reasoning → Mathematical reasoning
- Intern-S1: A Scientific Multimodal Foundation ModelMixture-of-experts → MoE theory and gating functions
- LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging QueriesLLM agents and tool use → Tool learning and function calling
- When Tools Hurt LLM Reasoning: State-Dependent Belief Revision under External EvidenceLLM reasoning → Reasoning benchmarks and evaluation
- End-to-End Agentic RAG System Training for Traceable Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications +2
- Probability Density from Latent Diffusion Models for Out-of-Distribution DetectionDiffusion models → Medical imaging and segmentation
- StreamMem: Query-Agnostic KV Cache Memory for Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- GRAFT: GRaPH and Table Reasoning for Textual Alignment -- A Benchmark for Structured Instruction Following and Visual ReasoningLLM reasoning → Multimodal reasoning
- LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed DistributionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene ClassificationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Transduction is All You Need for Structured Data WorkflowsLLM agents and tool use → Web, search, and research agents
- LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMindEfficient LLM inference and serving → Serving systems and request scheduling
- DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning TasksLLM reasoning → Spatial and embodied reasoning
- SafetyFlow: An Agent-Flow System for Automated LLM Safety BenchmarkingLLM agents and tool use → Agent threats, guardrails and governance +1
- Super-additive Cooperation in Language Model AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Think in Blocks: Adaptive Reasoning from Direct Response to Deep ReasoningLLM reasoning → Test-time compute and efficient thinking
- Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image FusionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Dream 7B: Diffusion Large Language ModelsDiffusion models → Discrete and text diffusion
- Subjective Behaviors and Preferences in LLM: Language of BrowsingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation ProjectionLLM safety and security → Machine unlearning
- From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business ExcellenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Test-time Corpus Feedback: From Retrieval to RAGRetrieval-augmented generation → RAG pipeline design and evaluation
- SyGra: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for RecommendationLLM reasoning → LLM reasoning for recommendation
- DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning AbilityLLM reasoning → Multimodal reasoning
- Confidence-Modulated Speculative Decoding for Large Language ModelsEfficient LLM inference and serving → Speculative decoding
- Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and MitigationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- HeartLLM: Discretized ECG Tokenization for LLM-Based Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications
- Search-Based Credit Assignment for Offline Preference-Based Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Efficient identification of critical regions via Flow Matching-based Monte Carlo initializationDiffusion models → Flow matching, time series and science
- VideoEraser: Concept Erasure in Text-to-Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation SystemsLLM reasoning → LLM reasoning for recommendation
- Coarse-to-Fine Grounded Memory for LLM Agent PlanningLLM agents and tool use → Agent memory systems
- MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal RecommendationLLM reasoning → LLM reasoning for recommendation
- Deep Think with ConfidenceLLM reasoning → Test-time compute and efficient thinking
- Conflict-Aware Soft Prompting for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Retrieval-Augmented Review Generation for Poisoning Recommender SystemsRetrieval-augmented generation → Privacy and security of RAG +1
- Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM AgentLLM reasoning → Multimodal reasoning +1
- Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node MetastasisDiffusion models → Medical imaging and segmentation
- Pretrained Diffusion Models Are Inherently Skipped-Step SamplersDiffusion models → Diffusion foundations and sampling
- See it. Say it. Sorted: Agentic System for Compositional Diagram GenerationLLM agents and tool use → Multimodal and embodied agents
- Self-Guided Function Calling in Large Language Models via Stepwise Experience RecallLLM agents and tool use → Tool learning and function calling
- SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel PruningEfficient LLM inference and serving → KV cache optimization
- Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Survey of Vision-Language-Action Models for Embodied ManipulationVision-language-action models → Generalist VLA models and benchmarks
- SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak AttacksLLM safety and security → Jailbreaking
- PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable DataLLM reasoning → Mathematical reasoning
- MeSS: City Mesh-Guided Outdoor Scene Generation with Cross-View Consistent DiffusionDiffusion models → Diffusion and flow policies for robotics
- ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction FollowingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Mobile-Agent-v3: Fundamental Agents for GUI AutomationLLM agents and tool use → GUI and mobile agents
- Efficient Probabilistic Visualization of Local Divergence of 2D Vector Fields with Independent Gaussian Uncertainty
- A Real-Time Diminished Reality Approach to Privacy in MR Collaboration
- Wave-Based Semantic Memory with Resonance-Based Retrieval: A Phase-Aware Alternative to Vector Embedding Stores
- Multi-IaC-Eval: Benchmarking Cloud Infrastructure as Code Across Multiple Formats
- Sesame: Opening the door to protein pockets
- Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing
- Industrial Steel Slag Flow Data Loading Method for Deep Learning Applications
- Deep Learning-Driven Multimodal Detection and Movement Analysis of Objects in Culinary
- End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost
- Is Artificial Intelligence Reshaping the Landscape of the International Academic Community of Geosciences?
- Flexible metadata harvesting for ecology using large language models
- Semantic Attractors and the Emergence of Meaning: Towards a Teleological Model of AGI
- Data-driven models for production forecasting and decision supporting in petroleum reservoirs
- PriorFormer: A Transformer for Real-time Monocular 3D Human Pose Estimation with Versatile Geometric Priors
- Making AI Inevitable: Historical Perspective and the Problems of Predicting Long-Term Technological Change
- Cybernaut: Towards Reliable Web Automation
- Native Hierarchical and Compositional Representations with Subspace Embeddings
- Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
- STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
- Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications
- CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression
- WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling
- MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation
- Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
- The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
- Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification
- COVID19 Prediction Based On CT Scans Of Lungs Using DenseNet Architecture
- Situational Awareness as the Imperative Capability for Disaster Resilience in the Era of Complex Hazards and Artificial Intelligence
- BrainPath: A Biologically-Informed AI Framework for Individualized Aging Brain Generation
- Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings
- Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
- Cross-Attention Multimodal Fusion for Breast Cancer Diagnosis: Integrating Mammography and Clinical Data with Explainability
All 315
- Quantum Federated Learning: A Comprehensive Survey
- GelSLAM: A Real-time, High-Fidelity, and Robust 3D Tactile SLAM System
- Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
- Diverse Signer Avatars with Manual and Non-Manual Feature Modelling for Sign Language Production
- PickleBall: Secure Deserialization of Pickle-based Machine Learning Models (Extended Report)
- Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
- Panoptic Segmentation of Environmental UAV Images : Litter Beach
- A simulation-based training framework for machine-learning applications in ARPES
- Semi-Unsupervised Microscopy Segmentation with Fuzzy Logic and Spatial Statistics for Cross-Domain Analysis Using a GUI
- Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
- Contributions to Label-Efficient Learning in Computer Vision and Remote Sensing
- Vector preference-based contextual bandits under distributional shifts
- Advancing rail safety: An onboard measurement system of rolling stock wheel flange wear based on dynamic machine learning algorithms
- Representation Learning with Adaptive Superpixel Coding
- A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
- An Efficient Hybridization of Graph Representation Learning and Metaheuristics for the Constrained Incremental Graph Drawing Problem
- Continuous Determination of Respiratory Rate in Hospitalized Patients using Machine Learning Applied to Electrocardiogram Telemetry
- Investigating Different Geo Priors for Image Classification
- Automatic Retrieval of Specific Cows from Unlabeled Videos
- T-ILR: a Neurosymbolic Integration for LTLf
- Interpretable Kernels
- Semantic-Aware Ship Detection with Vision-Language Integration
- Low-dimensional embeddings of high-dimensional data
- Transforming Causality: Transformer-Based Temporal Causal Discovery with Prior Knowledge Integration
- Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making
- Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts
- Information Ecosystem Reengineering via Public Sector Knowledge Representation
- Evaluating Structured Decoding for Text-to-Table Generation: Evidence from Three Datasets
- Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping
- Text-Driven 3D Hand Motion Generation from Sign Language Data
- CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry
- Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
- Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics
- Beyond Transcription: Mechanistic Interpretability in ASR
- Annif at the GermEval-2025 LLMs4Subjects Task: Traditional XMTC Augmented by Efficient LLMs
- NEAT: Concept driven Neuron Attribution in LLMs
- Spatial Policy: Guiding Visuomotor Robotic Manipulation with Spatial-Aware Modeling and Reasoning
- Physics-Based Explainable AI for ECG Segmentation: A Lightweight Model
- Scaling Group Inference for Diverse and High-Quality Generation
- SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass
- ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
- Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space
- Waver: Wave Your Way to Lifelike Video Generation
- Language-Guided Tuning: Configuration Optimization for Automated ML Research
- Neural Robot Dynamics
- "Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
- Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model
- AI Chaperones Are (Really) All You Need to Prevent Parasocial Relationships with Chatbots
- Measuring the environmental impact of delivering AI at Google Scale
- Exploring the Landscape of Non-Equilibrium Memories with Neural Cellular Automata
- Numerical models outperform AI weather forecasts of record-breaking extremes
- EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models
- WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
- Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI
- Foundation Models for Cross-Domain EEG Analysis Application: A Survey
- Stemming -- The Evolution and Current State with a Focus on Bangla
- End-to-End Analysis of Charge Stability Diagrams with Transformers
- Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation
- Overcoming the Communication-Performance Tradeoff in LLM Pretraining
- Investigation of D-Wave quantum annealing for training Restricted Boltzmann Machines and mitigating catastrophic forgetting
- Conditionally adaptive augmented Lagrangian method for physics-informed learning of forward and inverse problems
- NiceWebRL: a Python library for human subject experiments with reinforcement learning environments
- Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
- Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays
- Futurity as Infrastructure: A Techno-Philosophical Interpretation of the AI Lifecycle
- An Efficient Open World Environment for Multi-Agent Social Learning
- Tree-like Pairwise Interaction Networks
- Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data
- Bayesian Optimization with Expected Improvement: No Regret and the Choice of Incumbent
- CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps
- Exploiting Policy Idling for Dexterous Manipulation
- Mind and Motion Aligned: A Joint Evaluation IsaacSim Benchmark for Task Planning and Low-Level Policies in Mobile Manipulation
- Hessian-Based Lightweight Neural Network HessNet for State-of-the-Art Brain Vessel Segmentation on a Minimal Training Dataset
- Amortized In-Context Mixed Effect Transformer Models: A Zero-Shot Approach for Pharmacokinetics
- SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation
- MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction
- Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
- Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance
- Weakly-Supervised Learning for Tree Instances Segmentation in Airborne Lidar Point Clouds
- Correct-By-Construction: Certified Individual Fairness through Neural Network Training
- Diffusion-grounded VideoLLM for Entity-aware temoporal grounding
- Classification errors distort findings in automated speech processing: examples and solutions from child-development research
- Label Uncertainty for Ultrasound Segmentation
- GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder (Full Version)
- Adapting A Vector-Symbolic Memory for Lisp ACT-R
- Multi-perspective monitoring of wildlife and human activities from camera traps and drones with deep learning models
- Trained Miniatures: Low cost, High Efficacy SLMs for Sales & Marketing
- Fast globally optimal Truncated Least Squares point cloud registration with fixed rotation axis
- Continual Neural Topic Model
- Are Virtual DES Images a Valid Alternative to the Real Ones?
- Inductive Domain Transfer In Misspecified Simulation-Based Inference
- A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification
- High-Frequency First: A Two-Stage Approach for Improving Image INR
- LFaB: Low fidelity as Bias for Active Learning in the chemical configuration space
- Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
- Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
- HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search
- Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising
- Sequential Adaptive Priors for Orthogonal Functions
- AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
- BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
- D3FNet: A Differential Attention Fusion Network for Fine-Grained Road Structure Extraction in Remote Perception Systems
- Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors
- Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram
- ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
- The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech
- Stabilization of Perturbed Loss Function: Differential Privacy without Gradient Noise
- Jointly Computation- and Communication-Efficient Distributed Learning
- LLM-Driven Self-Refinement for Embodied Drone Task Planning
- MExECON: Multi-view Extended Explicit Clothed humans Optimized via Normal integration
- Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
- High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression
- Multiply Robust Conformal Risk Control with Coarsened Data
- HebID: Detecting Social Identities in Hebrew-language Political Text
- Learning Protein-Ligand Binding in Hyperbolic Space
- SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version
- LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion
- Influence-driven Curriculum Learning for Pre-training on Limited Data
- SLM4Offer: Personalized Marketing Offer Generation Using Contrastive Learning Based Fine-Tuning
- JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs
- RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores
- Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework
- PyTOD: Programmable Task-Oriented Dialogue with Execution Feedback
- Mini-Batch Robustness Verification of Deep Neural Networks
- Principle Methods of Rendering Non-equivalent Words from Uzbek and Dari to Russian and English
- DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
- A Solvable Molecular Switch Model for Stable Temporal Information Processing
- Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
- Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets
- M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals
- Aligning Moments in Time using Video Queries
- PLASMA: A Layout-Aware Benchmark Reveals Memory Layout Matters for Graph-based ANNS on GPU
- Small Dents, Big Impact: A Dataset and Deep Learning Approach for Vehicle Dent Detection
- Lang2Lift: A Language-Guided Autonomous Forklift System for Outdoor Industrial Pallet Handling
- An Empirical Study of Knowledge Distillation for Code Understanding Tasks
- A Study of Privacy-preserving Language Modeling Approaches
- LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model
- Bidirectional Temporal Information Propagation for Moving Infrared Small Target Detection
- Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
- Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems
- When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
- From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
- Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
- Hybrid Least Squares/Gradient Descent Methods for DeepONets
- Federated Learning based on Self-Evolving Gaussian Clustering
- CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials
- Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
- Spiking Variational Graph Representation Inference for Video Summarization
- Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform
- EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
- DriveSplat: Unified Neural Gaussian Reconstruction for Dynamic Driving Scenes
- Minority Collective Action for User-Side Fairness
- Image-Conditioned 3D Gaussian Splat Quantization
- Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data
- Transfer learning optimization based on evolutionary selective fine tuning
- ExBigBang: A Dynamic Approach for Explainable Persona Classification through Contextualized Hybrid Transformer Analysis
- A Survey on Large Language Model Benchmarks
- An Empirical Study on How Video-LLMs Answer Video Questions
- Planning with Minimal Disruption
- KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models
- RCDINO: Enhancing Radar-Camera 3D Object Detection with DINOv2 Semantic Features
- Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge
- Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling
- RETAIL: Towards Real-world Travel Planning for Large Language Models
- An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
- Saving for the future: Enhancing generalization via partial logic regularization
- CUPE: Contextless Universal Phoneme Encoder for Language-Agnostic Speech Processing
- First RAG, Second SEG: A Training-Free Paradigm for Camouflaged Object Detection
- BasketLiDAR: The First LiDAR-Camera Multimodal Dataset for Professional Basketball MOT
- TPA: Temporal Prompt Alignment for Fetal Congenital Heart Defect Classification
- DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
- A Multi-Memory Segment System for Generating High-Quality Long-Term Memory Content in Agents
- Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction
- Adversarial Attacks against Neural Ranking Models via In-Context Learning
- MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
- Way to Build Native AI-driven 6G Air Interface: Principles, Roadmap, and Outlook
- AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
- TComQA: Extracting Temporal Commonsense from Text
- RATopo: Improving Lane Topology Reasoning via Redundancy Assignment
- M-LLM3REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
- Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images
- Explainable Knowledge Distillation for Efficient Medical Image Classification
- EMNLP: Educator-role Moral and Normative Large Language Models Profiling
- UniCoM: A Universal Code-Switching Speech Generator
- Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas
- WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
- AeroDuo: Aerial Duo for UAV-based Vision and Language Navigation
- Center-Oriented Prototype Contrastive Clustering
- Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
- VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models
- Collaborative Multi-Modal Coding for High-Quality 3D Generation
- GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design
- Learning ECG Representations via Poly-Window Contrastive Learning
- Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
- Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
- See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
- STAGNet: A Spatio-Temporal Graph and LSTM Framework for Accident Anticipation
- Multi-Channel Differential Transformer for Cross-Domain Sleep Stage Classification with Heterogeneous EEG and EOG
- Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
- DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology
- R-ConstraintBench: Evaluating LLMs on NP-Complete Scheduling
- Frequency-adaptive tensor neural networks for high-dimensional multi-scale problems
- GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes
- Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
- LLM4Sweat: A Trustworthy Large Language Model for Hyperhidrosis Support
- SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling
- SurgWound-Bench: A Benchmark for Surgical Wound Diagnosis
- Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
- XDR-LVLM: An Explainable Vision-Language Large Model for Diabetic Retinopathy Diagnosis
- A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
- Reliable Multi-view 3D Reconstruction for `Just-in-time' Edge Environments
- Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians
- A Robust BERT-Based Deep Learning Model for Automated Cancer Type Extraction from Unstructured Pathology Reports
- Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
- Identifying and Answering Questions with False Assumptions: An Interpretable Approach