Papers
Sat 2 Aug 2025
207 papers
- Categorical Construction of Logically Verifiable Neural ArchitecturesLLM reasoning → Reasoning benchmarks and evaluation
- Agentic TinyML for Intent-aware Handover in 6G Wireless NetworksLLM agents and tool use → Agentic AI for wireless networks
- PiKV: KV Cache Management System for Mixture of ExpertsMixture-of-experts → Efficient MoE training and inference systems +1
- Large Language Models Facilitate Vision Reflection in Image ClassificationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Large Language Model-based Data Science Agent: A SurveyLLM agents and tool use → Web, search, and research agents
- AgentSight: System-Level Observability for AI Agents Using eBPFLLM agents and tool use → Agent threats, guardrails and governance
- A Reward-Directed Diffusion Framework for Generative Design OptimizationDiffusion models → Flow matching, time series and science
- A Theory of Adaptive Scaffolding for LLM-Based Pedagogical AgentsLLM agents and tool use → Educational agents and math problem solving
- WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal ReasoningLLM reasoning → Reasoning for agents, planning and code
- The Homogenizing Effect of Large Language Models on Human Expression and ThoughtLLM reasoning → Reasoning benchmarks and evaluation
- Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Towards Efficient Medical Reasoning with Minimal Fine-Tuning DataLLM reasoning → Clinical and biomedical applications +1
- TripTailor: A Real-World Benchmark for Personalized Travel PlanningLLM reasoning → Reasoning for agents, planning and code
- From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Interactive Environmental Learning in Physical Embodied SystemsLLM agents and tool use → Multimodal and embodied agents
- MoRe-ERL: Learning Motion Residuals using Episodic Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid SearchRetrieval-augmented generation → RAG pipeline design and evaluation
- ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MaRGen: Multi-Agent LLM Approach for Self-Directed Market Research and AnalysisLLM agents and tool use → Financial trading and forecasting agents
- ConfGuard: A Simple and Effective Backdoor Detection for Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- StyleSentinel: Reliable Artistic Copyright Verification via Stylistic FingerprintsDiffusion models → Image generation, text-to-image and editing +1
- Zero-shot Segmentation of Skin Conditions: Erythema with Edit-Friendly InversionDiffusion models → Medical imaging and segmentation
- BlockA2A: Towards Secure and Verifiable Agent-to-Agent InteroperabilityLLM agents and tool use → Agent threats, guardrails and governance
- NaturalGAIA: A Verifiable Benchmark and Hierarchical Framework for Long-Horizon GUI TasksLLM agents and tool use → GUI and mobile agents
- Is Exploration or Optimization the Problem for Deep Reinforcement Learning?Deep reinforcement learning methods → Deep RL algorithms and representations
- Towards Evaluation for Real-World LLM UnlearningLLM safety and security → Machine unlearning
- D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data GenerationLLM reasoning → Reasoning benchmarks and evaluation
- PUZZLED: Jailbreaking LLMs through Word-Based PuzzlesLLM safety and security → Jailbreaking
- Aligning Language Models with Real-time Knowledge EditingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen EntitiesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Exploitation Is All You Need... for ExplorationDeep reinforcement learning methods → Deep RL algorithms and representations
- BioDisco: Multi-agent hypothesis generation with dual-mode evidence, iterative feedback and temporal evaluationLLM agents and tool use → Medical and scientific domain agents
- Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in TaiwanMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Disentangling Reasoning Logic to Resolve Explicit Knowledge ConflictsLLM reasoning → Reasoning benchmarks and evaluation
- Win-k: Improved Membership Inference Attacks on Small Language ModelsLLM safety and security → Membership inference attacks
- Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum SamplingDiffusion models → Diffusion foundations and sampling
- Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025LLM reasoning → Reasoning benchmarks and evaluation
- Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language ModelsMixture-of-experts → MoE large language models +1
- AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt InjectionLLM agents and tool use → Agent threats, guardrails and governance +1
- NS-Net: Decoupling CLIP Semantic Information through NULL-Space for Generalizable AI-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning PolicyDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale systemDiffusion models → 3D, point cloud and scene generation
- Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- StyDeco: Unsupervised Style Transfer with Distilling Priors and Semantic DecouplingDiffusion models → Image generation, text-to-image and editing
- RoadMamba: A Dual Branch Visual State Space Model for Road Surface ClassificationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Unified Generation-Refinement Planning: Bridging Guided Flow Matching and Sampling-Based MPC for Social NavigationDiffusion models → Diffusion and flow policies for robotics
- Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensLLM reasoning → Prompting and chain-of-thought reasoning
- A Survey on Agent Workflow -- Status and FutureLLM agents and tool use → Software engineering coding agents
- Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion ReasoningLLM reasoning → Audio-language model reasoning +1
- T2S: Tokenized Skill Scaling for Lifelong Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- RoboLinker: A Diffusion-model-based Matching Clothing Generator Between Humans and Companion RobotsDiffusion models → 3D, point cloud and scene generation
- Personalized Safety Alignment for Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +2
- Dataset Condensation with Color CompensationDiffusion models → Image generation, text-to-image and editing
- DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge GraphsLLM reasoning → Reasoning for agents, planning and code
- COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Motif 2.6B Technical Report
- RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving
- A Framework Combining 3D CNN and Transformer for Video-Based Behavior Recognition
- CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
- Data-Driven Discovery of Mobility Periodicity for Understanding Urban Systems
- Classifying Epistemic Relationships in Human-AI Interaction: An Exploratory Approach
- Considering Spatial Structure of the Road Network in Pavement Deterioration Modeling
- A Novel cVAE-Augmented Deep Learning Framework for Pan-Cancer RNA-Seq Classification
- SpectrumFM: Redefining Spectrum Cognition via Foundation Modeling
- DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
- Who Gets Cited? Gender- and Majority-Bias in LLM-Driven Reference Selection
- Kronos: A Foundation Model for the Language of Financial Markets
- CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
- Embedding-Enhanced Probabilistic Modeling of Ferroelectric Field Effect Transistors (FeFETs)
- Recovering Individual-Level Activity Sequences from Location-Based Service Data Using a Novel Transformer-Based Model
- Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
- Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs
- The Vanishing Gradient Problem for Stiff Neural Differential Equations
- Central Limit Theorems for Transition Probabilities of Controlled Markov Chains
- SimDeep: Federated 3D Indoor Localization via Similarity-Aware Aggregation
- End-to-End Personalization: Unifying Recommender Systems with Large Language Models
- Canoe Paddling Quality Assessment Using Smart Devices: Preliminary Machine Learning Study
- Frequency-Constrained Learning for Long-Term Forecasting
- FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
- ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
- Instruction-based Time Series Editing
- ShrutiSense: Microtonal Modeling and Correction in Indian Classical Music
- Translation-Equivariant Self-Supervised Learning for Pitch Estimation with Optimal Transport
- A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
- PESTO: Real-Time Pitch Estimation with Self-supervised Transposition-equivariant Objective
- Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy
- Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler
- Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach
- Reconstructing Trust Embeddings from Siamese Trust Scores: A Direct-Sum Approach with Fixed-Point Semantics
- Hyperparameter-Free Neurochaos Learning Algorithm for Classification
- CARGO: A Co-Optimization Framework for EV Charging and Routing in Goods Delivery Logistics
- R2-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
- HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens
- TreeDiff: AST-Guided Code Generation with Diffusion LLMs
- EfficientGFormer: Multimodal Brain Tumor Segmentation via Pruned Graph-Augmented Transformer
- Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians
- Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation
- Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
All 207
- NICE^k Metrics: Unified and Multidimensional Framework for Evaluating Deterministic Solar Forecasting Accuracy
- Regression Augmentation With Data-Driven Segmentation
- Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
- Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
- Hyperspectral Image Recovery Constrained by Multi-Granularity Non-Local Self-Similarity Priors
- Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification
- UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
- 3DRot: Rediscovering the Missing Primitive for RGB-Based 3D Augmentation
- Cryptocurrency Price Forecasting Using Machine Learning: Building Intelligent Financial Prediction Models
- Bias Association Discovery Framework for Open-Ended LLM Generations
- ArzEn-MultiGenre: An aligned parallel dataset of Egyptian Arabic song lyrics, novels, and subtitles, with English translations
- Signals, Concepts, and Laws: Toward Universal, Explainable Time-Series Forecasting
- MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairs
- Spatial-Frequency Aware for Object Detection in RAW Image
- Effects of Feature Correlations on Associative Memory Capacity
- Via Score to Performance: Efficient Human-Controllable Long Song Generation with Bar-Level Symbolic Notation
- Quenched large deviations for Monte Carlo integration with Coulomb gases
- Recognising, Anticipating, and Mitigating LLM Pollution of Online Behavioural Research
- Open-Attribute Person Retrieval: Finding People Through Distinctive and Novel Attributes
- Video-based Vehicle Surveillance in the Wild: License Plate, Make, and Model Recognition with Self Reflective Vision-Language Models
- Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering
- Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms
- A Full-Stage Refined Proposal Algorithm for Suppressing False Positives in Two-Stage CNN-Based Detection Methods
- ReMu: Reconstructing Multi-layer 3D Clothed Human from Image Layers
- Prompt to Pwn: Automated Exploit Generation for Smart Contracts
- Relation-Aware LNN-Transformer for Intersection-Centric Next-Step Prediction
- Predicting EGFR Mutation in LUAD from Histopathological Whole-Slide Images Using Pretrained Foundation Model and Transfer Learning: An Indian Cohort Study
- Classification of Brain Tumors using Hybrid Deep Learning Models
- Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning
- Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
- UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
- Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
- SBP-YOLO:A Lightweight Real-Time Model for Detecting Speed Bumps and Potholes toward Intelligent Vehicle Suspension Systems
- Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework
- Referring Remote Sensing Image Segmentation with Cross-view Semantics Interaction Network
- Large-Scale Diverse Synthesis for Mid-Training
- Fusion Sampling Validation in Data Partitioning for Machine Learning
- Idempotent Equilibrium Analysis of Hybrid Workflow Allocation: A Mathematical Schema for Future Work
- SWAN: Synergistic Wavelet-Attention Network for Infrared Small Target Detection
- Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
- LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
- Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
- Physics-Informed Neural Network Approaches for Sparse Data Flow Reconstruction of Unsteady Flow Around Complex Geometries
- P3P Made Easy
- C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
- GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment
- Domain Generalized Stereo Matching with Uncertainty-guided Data Augmentation
- How Far Are LLMs from Symbolic Planners? An NLP-Based Perspective
- FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
- GMAT: Grounded Multi-Agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification
- CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
- A graph neural network based on feature network for identifying influential nodes
- Foundation Models for Bioacoustics -- a Comparative Review
- Defending Against Beta Poisoning Attacks in Machine Learning Models
- Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching
- PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation
- SGCap: Decoding Semantic Group for Zero-shot Video Captioning
- ModelNet40-E: An Uncertainty-Aware Benchmark for Point Cloud Classification
- SpatioTemporal Difference Network for Video Depth Super-Resolution
- Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
- ODOV: Benchmark the Open-Domain Open-Vocabulary Object Detection
- Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
- DisFaceRep: Representation Disentanglement for Co-occurring Facial Components in Weakly Supervised Face Parsing
- WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
- MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
- RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation
- OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
- SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches
- Inferring processes within dynamic forest models using hybrid modeling
- Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
- ParaRevSNN: A Parallel Reversible Spiking Neural Network for Efficient Training and Inference
- WebDS: An End-to-End Benchmark for Web-based Data Science
- Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
- MoGaFace: Momentum-Guided and Texture-Aware Gaussian Avatars for Consistent Facial Geometry
- Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
- Perspective from a Broader Context: Can Room Style Knowledge Help Visual Floorplan Localization?
- Show or Tell? Modeling the evolution of request-making in Human-LLM conversations
- Multi-Operator Few-Shot Learning for Generalization Across PDE Families
- Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
- Calibrated Prediction Set in Fault Detection with Risk Guarantees via Significance Tests
- Deep Learning for Pavement Condition Evaluation Using Satellite Imagery
- Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication
- Importance Sampling is All You Need: Predict LLM's performance on new benchmark by reusing existing benchmark
- Adaptive Content Restriction for Large Language Models via Suffix Optimization
- A Coarse-to-Fine Approach to Multi-Modality 3D Occupancy Grounding
- BSL: A Unified and Generalizable Multitask Learning Platform for Virtual Drug Discovery from Design to Synthesis
- SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
- Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning
- Advancing the Foundation Model for Music Understanding
- From Taylor Series to Fourier Synthesis: The Periodic Linear Unit
- RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models
- MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
- GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification
- No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views
- DELTAv2: Accelerating Dense 3D Tracking
- CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages
- Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates
- H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving
- TEACH: Text Encoding as Curriculum Hints for Scene Text Recognition
- LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
- OpenGS-Fusion: Open-Vocabulary Dense Mapping with Hybrid 3D Gaussian Splatting for Refined Object-Level Understanding
- DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
- Semi-Supervised Anomaly Detection in Brain MRI Using a Domain-Agnostic Deep Reinforcement Learning Approach
- Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice
- Human-Robot Red Teaming for Safety-Aware Reasoning
- Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
- UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and Generation