Papers
Sat 20 Sep 2025
189 papers
- ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning FlowsDiffusion models → Diffusion and flow policies for robotics
- Phrase-grounded Fact-checking for Automatically Generated Chest X-ray ReportsMultimodal LLMs / vision-language models → Medical vision-language models
- KV-Efficient VLA: A Method to Speed up Vision Language Models with RNN-Gated Chunked KV CacheMultimodal LLMs / vision-language models → Visual token pruning and efficiency +2
- Leveraging NTPs for Efficient Hallucination Detection in VLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SKILL-RAG: Self-Knowledge Induced Learning and Filtering for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language ModelsMechanistic interpretability → SAE features and their applications
- Learning from Observation: A Survey of Recent AdvancesOffline RL and imitation learning from data → Imitation learning methods
- Conversational Orientation Reasoning: Egocentric-to-Allocentric Navigation with Multimodal Chain-of-ThoughtLLM reasoning → Spatial and embodied reasoning
- DoubleGen: Debiased Generative Modeling of CounterfactualsDiffusion models → Diffusion foundations and sampling
- Roundtable Policy: Confidence-Weighted-Consensus Aggregation Improves Multi-Agent-System ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Factorizing Diffusion Policies for Observation Modality PrioritizationDiffusion models → Diffusion and flow policies for robotics
- DISCO: Disentangled Communication Steering for Large Language ModelsMechanistic interpretability → Activation steering methods
- Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven MediaLLM agents and tool use → Multimodal and embodied agents
- Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline TrainingLLM agents and tool use → Medical and scientific domain agents
- Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on a Math TextbookRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- MMPart: Harnessing Multi-Modal Large Language Models for Part-Aware 3D GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural ImagesDiffusion models → Video generation
- Discrete Diffusion Models: Novel Analysis and New Sampler GuaranteesDiffusion models → Diffusion foundations and sampling
- Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning TrajectoriesLLM reasoning → Test-time compute and efficient thinking
- Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven ApproachLLM agents and tool use → Agent threats, guardrails and governance
- Time to Revist Exact MatchLLM reasoning → Knowledge- and tool-augmented reasoning
- OPEN-THEATRE: An Open-Source Toolkit for LLM-based Interactive DramaLLM agents and tool use → Multimodal and embodied agents
- Knowledge Distillation for Variational Quantum Convolutional Neural Networks on Heterogeneous DataKnowledge distillation → Graph neural network distillation
- InstanceAssemble: Layout-Aware Image Generation via Instance Assembling AttentionDiffusion models → Image generation, text-to-image and editing
- EG-MLA: Embedding-Gated Multi-head Latent Attention for Scalable and Efficient LLMsEfficient LLM inference and serving → KV cache optimization
- ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question AnsweringLLM reasoning → Multimodal reasoning
- Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing EnvironmentsLLM agents and tool use → Software engineering coding agents
- MedCutMix: A Data-Centric Approach to Improve Radiology Vision-Language Pre-training with Disease AwarenessMultimodal LLMs / vision-language models → Medical vision-language models
- Robust Native Language Identification through Agentic DecompositionLLM agents and tool use → General LLM agent frameworks and benchmarks
- NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning AbilitiesLLM reasoning → Spatial and embodied reasoning +1
- Are VLMs Ready for Lane Topology Awareness in Autonomous Driving?LLM reasoning → Chain-of-thought reasoning for driving +2
- FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied AgentsLLM reasoning → Reasoning for agents, planning and code +2
- When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-TuningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic SurgeryMultimodal LLMs / vision-language models → Medical vision-language models
- PruneCD: Contrasting Pruned Self Model to Improve Decoding FactualityEfficient LLM inference and serving → Speculative decoding
- MCP: A Control-Theoretic Orchestration Framework for Synergistic Efficiency and Interpretability in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Question Answering with LLMs and Learning from Answer SetsLLM reasoning → Reasoning benchmarks and evaluation
- Benchmarking Contextual and Paralinguistic Reasoning in Speech-LLMs: A Case Study with In-the-Wild DataLLM reasoning → Audio-language model reasoning
- Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical ReasoningLLM reasoning → Spatial and embodied reasoning
- SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Captioning for Text-Video Retrieval via Dual-Group Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Rethinking the Role of Text Complexity in Language Model PretrainingLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Rectified Flow for Image FusionDiffusion models → Image generation, text-to-image and editing
- SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward LearningLLM reasoning → Reinforcement learning for reasoning +1
- ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic InstructionsSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual AnalysisMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CAF'E: Causal Black-Box Testing of Machine UnlearningLLM safety and security → Machine unlearning
- FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion ModelsDiffusion models → Video generation
- Seeing Culture: A Benchmark for Visual Reasoning and GroundingLLM reasoning → Multimodal reasoning +1
- Federated Learning with Ad-hoc Adapter Insertions: The Case of Soft-Embeddings for Training Classifier-as-RetrieverRetrieval-augmented generation → RAG pipeline design and evaluation
- OS-DiffVSR: Towards One-step Latent Diffusion Model for High-detailed Real-world Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video GenerationEnd-to-end autonomous driving → Reinforcement learning for driving +1
- A Closer Look at Model Collapse: From a Generalization-to-Memorization PerspectiveDiffusion models → Diffusion foundations and sampling +1
- Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic WorkloadsEfficient LLM inference and serving → Serving systems and request scheduling
- Can an Individual Manipulate the Collective Decisions of Multi-Agents?LLM agents and tool use → Agent threats, guardrails and governance
- Eye Gaze Tells You Where to Compute: Gaze-Driven Efficient VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Towards Universal Debiasing for Language Models-based Tabular Data GenerationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- The Epistemic Suite: A Post-Foundational Diagnostic Methodology for Assessing AI Knowledge Claims
- Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
- DPSformer: A long-tail-aware model for improving heavy rainfall prediction
- Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models
- Hyperbolic Optimization
- Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment
- Explainable Deep Learning for Cataract Detection in Retinal Images: A Dual-Eye and Knowledge Distillation Approach
- A Novel Differential Feature Learning for Effective Hallucination Detection and Classification
- Domain-Informed Genetic Superposition Programming: A Case Study on SFRC Beams
- USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model
- ACCeLLiuM: Supervised Fine-Tuning for Automated OpenACC Pragma Generation
- Beyond Global Emotion: Fine-Grained Emotional Speech Synthesis with Dynamic Word-Level Modulation
- Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Text
- Vision-Based Perception for Autonomous Vehicles in Off-Road Environment Using Deep Learning
- Freshness and the Limits of Heuristic Trend Detection in Temporal RAG
- Semantic-Driven Topic Modeling for Analyzing Creativity in Virtual Brainstorming
- Robot Learning with Sparsity and Scarcity
- SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training
- L2M-Reg: Building-level Uncertainty-aware Registration of Outdoor LiDAR Point Clouds and Semantic 3D City Models
- KANO: Kolmogorov-Arnold Neural Operator
- Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models
- Randomized Space-Time Sampling for Affine Graph Dynamical Systems
- Development of a Mobile Application for at-Home Analysis of Retinal Fundus Images
- Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition-Informed Approach to Quantifying Identity Fusion from Text
- SMART-3D: Three-Dimensional Self-Morphing Adaptive Replanning Tree
- Automated Procedural Analysis via Video-Language Models for AI-assisted Nursing Skills Assessment
- MedGS: Gaussian Splatting for Multi-Modal 3D Medical Imaging
- KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
- Sublinear Time Quantum Sensitivity Sampling
- A Study on Stabilizer R'enyi Entropy Estimation using Machine Learning
- Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategies
- Spectral Analysis of the Weighted Frobenius Objective
- MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
- Improving User Interface Generation Models from Designer Feedback
- Artificial Satellite Trails Detection Using U-Net Deep Neural Network and Line Segment Detector Algorithm
- Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
- The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology
- Interpretable Clinical Classification with Kolmogorov-Arnold Networks
- Evaluating LLM Generated Detection Rules in Cybersecurity
All 189
- HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis
- On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
- CAMBench-QR : A Structure-Aware Benchmark for Post-Hoc Explanations with QR Understanding
- A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
- Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
- Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation
- Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment
- Exploring AI Capabilities in Participatory Budgeting within Smart Cities: The Case of Sao Paulo
- A Multi-Level Benchmark for Causal Language Understanding in Social Media Discourse
- Text-Scene: A Scene-to-Language Parsing Framework for 3D Scene Understanding
- Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies
- Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling
- QASTAnet: A DNN-based Quality Metric for Spatial Audio
- HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
- Increase Alpha: Performance and Risk of an AI-Driven Trading Framework
- When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
- Animalbooth: multimodal feature enhancement for animal subject personalization
- Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
- Spectral Compressive Imaging via Chromaticity-Intensity Decomposition
- Towards a Transparent and Interpretable AI Model for Medical Image Classifications
- Active View Selection for Scene-level Multi-view Crowd Counting and Localization with Limited Labeling Budget
- Design and Development of an Intelligent LLM-based LDAP Honeypot
- Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle
- IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
- Segment-to-Act: Label-Noise-Robust Action-Prompted Video Segmentation Towards Embodied Intelligence
- FitPro: A Zero-Shot Framework for Interactive Text-based Pedestrian Retrieval in Open World
- boldsymbolλ-Orthogonality Regularization for Compatible Representation Learning
- System-Level Uncertainty Quantification with Multiple Machine Learning Models: A Theoretical Framework
- On the de-duplication of the Lakh MIDI dataset
- Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
- Safe and Near-Optimal Control with Online Dynamics Learning
- AISTAT lab system for DCASE2025 Task6: Language-based audio retrieval
- Unlocking Hidden Potential in Point Cloud Networks with Attention-Guided Grouping-Feature Coordination
- KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control
- Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification
- DA-Font: Few-Shot Font Generation via Dual-Attention Hybrid Integration
- Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation
- Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
- Conditional Multidimensional Scaling with Incomplete Conditioning Data
- Self-Supervised Learning of Graph Representations for Network Intrusion Detection
- CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition
- Audio-Conditioned Diffusion LLMs for ASR and Deliberation Processing
- The Role of Vocabularies in Learning Sparse Representations for Ranking
- Detection and Simulation of Urban Heat Islands Using a Fine-Tuned Geospatial Foundation Model
- ORN-CBF: Learning Observation-conditioned Residual Neural Control Barrier Functions via Hypernetworks
- LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts
- Describe-to-Score: A text-guided framework for image complexity assessment
- Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
- FakeChain: Exposing Shallow Cues in Multi-Step Deepfake Detection
- Computational-Assisted Systematic Review and Meta-Analysis (CASMA): Effect of a Subclass of GnRH-a on Endometriosis Recurrence
- Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
- Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature
- SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
- Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs
- From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
- A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
- Fusing Spectral Correlation Density Imaging with Deep Learning for Intelligent Fault Diagnosis in Rotating Machinery
- Learned Digital Over-the-Air Computing for Federated Edge Learning
- V-CECE: Visual Counterfactual Explanations via Conceptual Edits
- Barwise Section Boundary Detection in Symbolic Music Using Convolutional Neural Networks
- MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs
- Person Identification from Egocentric Human-Object Interactions using 3D Hand Pose
- ViTCAE: ViT-based Class-conditioned Autoencoder
- ST-GS: Vision-Based 3D Semantic Occupancy Prediction with Spatial-Temporal Gaussian Splatting
- TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation
- Checking extracted rules in Neural Networks
- Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
- Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
- Long document summarization using page specific target text alignment and distilling page importance
- InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding
- Challenging the Evaluator: LLM Sycophancy Under User Rebuttal
- No Need for Real 3D: Fusing 2D Vision with Pseudo 3D Representations for Robotic Manipulation Learning
- Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains
- AIPsychoBench: Understanding the Psychometric Differences between LLMs and Humans
- Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
- Etude: Piano Cover Generation with a Three-Stage Approach -- Extract, strucTUralize, and DEcode
- mmExpert: Integrating Large Language Models for Comprehensive mmWave Data Synthesis and Understanding
- PM25Vision: A Large-Scale Benchmark Dataset for Visual Estimation of Air Quality
- LLM-Guided Co-Training for Text Classification
- SlowFast-SCI: Slow-Fast Deep Unfolding Learning for Spectral Compressive Imaging
- CommonForms: A Large, Diverse Dataset for Form Field Detection
- orb-QFL: Orbital Quantum Federated Learning
- Synergies between Federated Foundation Models and Smart Power Grids
- FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
- Revisiting Broken Windows Theory
- The Oracle Has Spoken: A Multi-Aspect Evaluation of Dialogue in Pythia
- Octree Diffusion for Semantic Scene Generation and Completion
- Thermal Imaging-based Real-time Fall Detection using Motion Flow and Attention-enhanced Convolutional Recurrent Architecture
- Cross-Corpus and Cross-domain Handwriting Assessment of NeuroDegenerative Diseases via Time-Series-to-Image Conversion