Papers
Sun 13 Apr 2025
167 papers
- HEAT:History-Enhanced Dual-phase Actor-Critic Algorithm with A Shared TransformerDeep reinforcement learning methods → RL for energy, networks and operations
- CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM AgentLLM agents and tool use → Agent threats, guardrails and governance
- QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized ModelLLM reasoning → Clinical and biomedical applications
- Meta-Evaluating Local LLMs: Rethinking Performance Metrics for Serious GamesLLM reasoning → Reasoning for agents, planning and code
- HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- AB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature ReuseDiffusion models → Diffusion foundations and sampling
- A Survey on Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AgentA/B: Automated and Scalable Web A/BTesting with Interactive LLM AgentsLLM agents and tool use → Web, search, and research agents
- The Structural Safety Generalization ProblemLLM safety and security → Safety alignment, refusal and guardrails
- DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-trainingLLM reasoning → Reinforcement learning for reasoning
- MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?LLM agents and tool use → Web, search, and research agents
- SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing WorkflowDiffusion models → Image generation, text-to-image and editing
- GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language ModelsLLM reasoning → Reinforcement learning for reasoning
- AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent SimulationsLLM agents and tool use → Social simulation and multi-agent debate
- KeyVID: Keyframe-Aware Video Diffusion for Audio-Synchronized Visual AnimationDiffusion models → Video generation
- OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- SegEarth-R1: Geospatial Pixel Reasoning via Large Language ModelLLM reasoning → Spatial and embodied reasoning
- Iterative Self-Training for Code Generation via Reinforced Re-RankingSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- TinyLLaVA-Video-R1: Towards Smaller LMMs for Video ReasoningLLM reasoning → Multimodal reasoning +1
- Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model CapabilityLLM reasoning → Test-time compute and efficient thinking
- Slow Thinking for Sequential RecommendationLLM reasoning → LLM reasoning for recommendation
- Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian InferenceMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded GapsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient TrainingDiffusion models → Diffusion foundations and sampling
- Mitigating Many-Shot JailbreakingLLM safety and security → Jailbreaking
- Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical SegmentationMixture-of-experts → Medical and biomedical MoE
- DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image CaptioningMultimodal LLMs / vision-language models → Medical vision-language models
- ControlNET: A Firewall for RAG-based LLM SystemRetrieval-augmented generation → Privacy and security of RAG +1
- Efficient LLM Serving on Hybrid Real-time and Best-effort RequestsEfficient LLM inference and serving → Serving systems and request scheduling
- GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigationLLM reasoning → Spatial and embodied reasoning
- Short-Path Prompting in LLMs: Analyzing Reasoning Instability and Solutions for Robust PerformanceLLM reasoning → Prompting and chain-of-thought reasoning
- AirVista-II: An Agentic System for Embodied UAVs Toward Dynamic Scene Semantic UnderstandingLLM agents and tool use → Multimodal and embodied agents
- Syzygy of Thoughts: Improving LLM CoT with the Minimal Free ResolutionLLM reasoning → Prompting and chain-of-thought reasoning
- LoopLynx: A Scalable Dataflow Architecture for Efficient LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- Humanoid Agent via Embodied Chain-of-Action Reasoning with Multimodal Foundation Models for Zero-Shot Loco-ManipulationLLM agents and tool use → Multimodal and embodied agents
- DiffuMural: Restoring Dunhuang Murals with Multi-scale DiffusionDiffusion models → Image generation, text-to-image and editing
- GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder AlignmentLLM reasoning → Reasoning benchmarks and evaluation
- Vision-Language Model for Object Detection and Segmentation: A Review and EvaluationMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram GenerationLLM reasoning → Multimodal reasoning
- AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak DefenderLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- D2iT: Dynamic Diffusion Transformer for Accurate Image GenerationDiffusion models → Diffusion foundations and sampling
- FractalForensics: Proactive Deepfake Detection and Localization via Fractal WatermarksLLM safety and security → Watermarking generated content and models
- Sparse Deformable Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination DetectionLLM reasoning → Mathematical reasoning
- Identity-Aware Vision-Language Model for Explainable Face Forgery DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant LearningLLM reasoning → Multimodal reasoning +1
- ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language modelLLM reasoning → Clinical and biomedical applications
- SaRO: Enhancing LLM Safety through Reasoning-based AlignmentLLM reasoning → Reasoning for agents, planning and code +2
- UXAgent: A System for Simulating Usability Testing of Web Design with LLM AgentsLLM agents and tool use → GUI and mobile agents
- Read Before You Think: Mitigating LLM Comprehension Failures with Step-by-Step ReadingLLM reasoning → Reasoning benchmarks and evaluation
- Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic RegimesDeep reinforcement learning methods → RL theory and sample complexity
- DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion TransformersDiffusion models → Audio, speech and music
- Towards Automated Formal Verification of Backend Systems with LLMs
- Dual-Modality Computational Ophthalmic Imaging with Deep Learning and Coaxial Optical Design
- Psychological Effect of AI driven marketing tools for beauty/facial feature enhancement
- Two-Timescale Joint Transmit and Pinching Beamforming for Pinching-Antenna Systems
- SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting
- A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
- The Quantum LLM: Modeling Semantic Spaces with Quantum Principles
- Optimizing Multi-Gateway LoRaWAN via Cloud-Edge Collaboration and Knowledge Distillation
- Can the capability of Large Language Models be described by human ability? A Meta Study
- Span-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation
- snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing
- Intelligent driving vehicle front multi-target tracking and detection based on YOLOv5 and point cloud 3D projection
- HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender
- An Efficient Quantum Classifier Based on Hamiltonian Representations
- Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
- Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations
- Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
- Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
- Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems
- Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
- Integrating Large Language Models for Automated Structural Analysis
- Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance
- Stochastic generative methods for stable and accurate closure modeling of chaotic dynamical systems
- Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention
- Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
- Dynamik: Syntactically-Driven Dynamic Font Sizing for Emphasis of Key Information
- Epsilon-Neighborhood Decision-Boundary Governed Estimation (EDGE) of 2D Black Box Classifier Functions
- Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration
- Dominated Actions in Imperfect-Information Games
- Evaluating the Quality of Benchmark Datasets for Low-Resource Languages: A Case Study on Turkish
- Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
- InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals
- Modeling Discrete Coating Degradation Events via Hawkes Processes
- Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis
- ToolTipNet: A Segmentation-Driven Deep Learning Baseline for Surgical Instrument Tip Detection
- Computer-Aided Layout Generation for Building Design: A Review
- Migrating Code At Scale With LLMs At Google
- EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
- Domain-Adaptive Continued Pre-Training of Small Language Models
- Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
- SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks
- LightHeadEd: Relightable & Editable Head Avatars from a Smartphone
- Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
- CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering
- Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting
- Ordinary Least Squares as an Attention Mechanism
- RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions
All 167
- Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN
- Myanmar XNLI: Building a Dataset and Exploring Low-resource Approaches to Natural Language Inference with Myanmar
- A Two-Stage Interpretable Matching Framework for Causal Inference
- Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
- Ges3ViG: Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding
- Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
- A highly maneuverable flying squirrel drone with agility-improving foldable wings
- Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
- Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
- TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting
- Reduction of Supervision for Biomedical Knowledge Discovery
- An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
- LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
- From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
- Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark
- SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification
- A simulation-heuristics dual-process model for intuitive physics
- Integrating chemical structures as treatments improves representations of microscopy images for morphological profiling
- EmbodiedOcc++: Boosting Embodied 3D Occupancy Prediction with Plane Regularization and Uncertainty Sampler
- FastRSR: Efficient and Accurate Road Surface Reconstruction from Bird's Eye View
- Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorders
- AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions
- How new data permeates LLM knowledge and how to dilute it
- 3D CoCa: Contrastive Learners are 3D Captioners
- FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding
- Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields
- Optimal sparse phase retrieval via a quasi-Bayesian approach
- FVOS for MOSE Track of 4th PVUW Challenge: 3rd Place Solution
- Pillar-Voxel Fusion Network for 3D Object Detection in Airborne Hyperspectral Point Clouds
- MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs
- PCM-SAR: Physics-Driven Contrastive Mutual Learning for SAR Classification
- Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning
- EasyREG: Easy Depth-Based Markerless Registration and Tracking using Augmented Reality Device for Surgical Guidance
- Federated Prototype Graph Learning
- DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
- Kongzi: A Historical Large Language Model with Fact Enhancement
- Adaptive Cluster-Based Synthetic Minority Oversampling Technique for Traffic Mode Choice Prediction with Imbalanced Dataset
- An overview of condensation phenomenon in deep learning
- HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
- Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
- A highly maneuverable flying squirrel drone with controllable foldable wings
- MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
- Zero-Shot Personalized Camera Motion Control for Image-to-Video Synthesis
- Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis
- Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach
- Enhancing Wide-Angle Image Using Narrow-Angle View of the Same Scene
- aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis
- Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
- Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance
- Constants of motion network revisited
- Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
- FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
- Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis
- Comparing Performance of Preprocessing Techniques for Traffic Sign Recognition Using a HOG-SVM
- Spatially Directional Dual-Attention GAT for Spatial Fluoride Health Risk Modeling
- Nash Equilibrium Between Consumer Electronic Devices and DoS Attacker for Distributed IoT-enabled RSE Systems
- Mirror Descent Linearized Augmented Lagrangian Methods for Nonconvex Constrained Stochastic Zeroth-Order Optimization
- Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
- Composable NLP Workflows for BERT-based Ranking and QA System
- Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
- Vision Transformers Exhibit Human-Like Biases: Evidence of Orientation and Color Selectivity, Categorical Perception, and Phase Transitions
- Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
- On Language Models' Sensitivity to Suspicious Coincidences
- Expressivity of Quadratic Neural ODEs
- Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning based Image Segmentation
- Low-Light Image Enhancement using Event-Based Illumination Estimation
- Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs