Papers
Sat 7 Jun 2025
172 papers
- Modeling Earth-Scale Human-Like Societies with One Billion AgentsLLM agents and tool use → Social simulation and multi-agent debate
- PankRAG: Enhancing Graph Retrieval via Globally Aware Query Resolution and Dependency-Aware Reranking MechanismRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric SequencesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem ComplexityLLM reasoning → Test-time compute and efficient thinking
- How Important are Videos for Training Video LLMs?LLM reasoning → Multimodal reasoning
- Boosting LLM Reasoning via Spontaneous Self-CorrectionLLM reasoning → Test-time compute and efficient thinking
- Causal Graph based Event Reasoning using Semantic Relation ExpertsLLM reasoning → Causal reasoning in LLMs
- Meta-Adaptive Prompt Distillation for Few-Shot Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Robust In-Context Reinforcement Learning Under Reward Poisoning AttacksDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking AnalysisState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- FREE: Fast and Robust Vision Language Models with Early ExitsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- KnowCoder-V2: Deep Knowledge AnalysisLLM reasoning → Knowledge- and tool-augmented reasoning
- Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math ReasoningLLM reasoning → Mathematical reasoning
- FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation EnsemblesMixture-of-experts → Vision mixture-of-experts
- Vision-EKIPL: External Knowledge-Infused Policy Learning for Visual ReasoningLLM reasoning → Multimodal reasoning
- United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load TheoryLLM agents and tool use → General LLM agent frameworks and benchmarks
- Harnessing Vision-Language Models for Time Series Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Controllable Coupled Image Generation via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devicesDeep reinforcement learning methods → RL for energy, networks and operations
- Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMsLLM reasoning → Audio-language model reasoning
- Training-Free Diffusion Framework for Stylized Image Generation with Identity PreservationDiffusion models → Image generation, text-to-image and editing
- Minimal Ingredients for Reward Assignment from Expert DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
- Learning What Matters Now: A Dual-Critic Context-Aware RL Framework for Priority-Driven Information GainDeep reinforcement learning methods → Deep RL algorithms and representations
- Continuous Semi-Implicit ModelsDiffusion models → Diffusion foundations and sampling
- Mitigating Object Hallucination via Robust Local Perception SearchMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMsLLM reasoning → Multimodal reasoning +1
- WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-makingWorld models → World models for language agents
- Dynamic and Parametric Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Contextual Experience Replay for Self-Improvement of Language AgentsLLM agents and tool use → Agent memory systems +1
- Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual LearningMixture-of-experts → MoE for time series and graphs
- RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation EvaluationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing ImageryState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- SafeLawBench: Towards Safe Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Transferring Linear Features Across Language Models With Model StitchingMechanistic interpretability → SAE features and their applications
- RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware ConstraintsLLM reasoning → Clinical and biomedical applications +1
- eXtended Physics Informed Neural Network Method for Fracture Mechanics Problems
- Deep Kernel Bayesian Optimisation for Closed-Loop Electrode Microstructure Design with User-Defined Properties based on GANs
- Subjective Evaluation Profile Analysis of Science Fiction Short Stories and its Critical-Theoretical Significance
- Scalable Offline ASR for Command-Style Dictation in Courtrooms
- Recursive Learning-Based Virtual Buffering for Analytical Global Placement
- Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations
- Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
- Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation
- Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
- What Makes a Good Natural Language Prompt?
- Making a Pipeline Production-Ready: Challenges and Lessons Learned in the Healthcare Domain
- Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G
- Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
- Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
- An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design
- Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry
- DiscoSum: Discourse-aware News Summarization
- Hybrid Extractive Abstractive Summarization for Multilingual Sentiment Analysis
- Basis Transformers for Multi-Task Tabular Regression
- Reading in the Dark with Foveated Event Vision
- Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data
- Graph Neural Networks in Modern AI-aided Drug Discovery
- Sleep Stage Classification using Multimodal Embedding Fusion from EOG and PSM
- Gaussian Mapping for Evolving Scenes
- Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
- KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search
- Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
- NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery
- Scalable Gaussian Processes with Latent Kronecker Structure
- SPC to 3D: Novel View Synthesis from Binary SPC via I2I translation
- Automatic Speech Recognition of African American English: Lexical and Contextual Effects
- Mixture of Small and Large Models for Chinese Spelling Check
- LLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models
- Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
- Recursive Semantic Anchoring in ISO 639:2023: A Structural Extension to ISO/TC 37 Frameworks
- Incorporating Failure of Machine Learning in Dynamic Probabilistic Safety Assurance
- SAFE: Finding Sparse and Flat Minima to Improve Pruning
- Face recognition on point cloud with cgan-top for denoising
- Multimodal Spatial Language Maps for Robot Navigation and Manipulation
- Differentially Private Sparse Linear Regression with Heavy-tailed Responses
- DONUT: A Decoder-Only Model for Trajectory Prediction
- Curvature Enhanced Data Augmentation for Regression
- Position Prediction Self-Supervised Learning for Multimodal Satellite Imagery Semantic Segmentation
- Deep Inertial Pose: A deep learning approach for human pose estimation
- Multi-StyleGS: Stylizing Gaussian Splatting with Multiple Styles
- Linear Discriminant Analysis with Gradient Optimization
- Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
- PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation
- A Statistical Framework for Model Selection in LSTM Networks
- AI-Generated Compromises for Coalition Formation
- Cross-Entropy Games for Language Models: From Implicit Knowledge to General Capability Measures
- EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery
- The Currents of Conflict: Decomposing Conflict Trends with Gaussian Processes
- Exploring Visual Prompting: Robustness Inheritance and Beyond
- Hi-LSplat: Hierarchical 3D Language Gaussian Splatting
- Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
- Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation
- ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
- How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language
- Path Integral Optimiser: Global Optimisation via Neural Schr"odinger-F"ollmer Diffusion
- BTPD: A Multilingual Hand-curated Dataset of Bengali Transnational Political Discourse Across Online Communities
- Advancing Question Generation with Joint Narrative and Difficulty Control
- IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder
All 172
- Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events
- Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
- On the Adaptive Psychological Persuasion of Large Language Models
- FuncGNN: Learning Functional Semantics of Logic Circuits with Graph Neural Networks
- Extending dependencies to the taggedPBC: Word order in transitive clauses
- Caterpillar GNN: Replacing Message Passing with Efficient Aggregation
- Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
- Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations
- They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse
- Taming Wild Branches: Overcoming Hard-to-Predict Branches using the Bullseye Predictor
- LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping
- The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing
- LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security
- SAR2Struct: Extracting 3D Semantic Structural Representation of Aircraft Targets from Single-View SAR Image
- Depth-Optimal Quantum Layout Synthesis as SAT
- Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models
- Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
- THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation
- AI PsyRoom: Artificial Intelligence Platform for Segmented Yearning and Reactive Outcome Optimization Method
- Honey, I shrunk the hypothesis space (through logical preprocessing)
- C-PATH: Conversational Patient Assistance and Triage in Healthcare System
- Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
- RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation
- Neural Spectral Band Generation for Audio Coding
- Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning
- Improving Wildlife Out-of-Distribution Detection: Africas Big Five
- IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G
- A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
- Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
- Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation
- A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-Resolution
- A Survey of Retentive Network
- DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains
- Do Protein Transformers Have Biological Intelligence?
- MarginSel : Max-Margin Demonstration Selection for LLMs
- Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing
- SpikePingpong: Spike Vision-based Fast-Slow Pingpong Robot System
- Learning Distribution-Wise Control in Representation Space for Language Models
- RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
- Learning Robust Heterogeneous Graph Representations via Contrastive-Reconstruction under Sparse Semantics
- Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment
- Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering
- SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
- Generalized Trajectory Scoring for End-to-end Multimodal Planning
- DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
- Self-Improving Loops for Visual Robotic Planning
- Quantile Regression with Large Language Models for Price Prediction
- Rescaled Influence Functions: Accurate Data Attribution in High Dimension
- Explaining Risks: Axiomatic Risk Attributions for Financial Models
- SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
- Parametric Gaussian Human Model: Generalizable Prior for Efficient and Realistic Human Avatar Modeling
- Spark Transformer: Reactivating Sparsity in FFN and Attention
- Dark Channel-Assisted Depth-from-Defocus from a Single Image
- Non-Intrusive Load Monitoring Based on Image Load Signatures and Continual Learning
- GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales
- Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification
- PhysLab: A Benchmark Dataset for Multi-Granularity Visual Parsing of Physics Experiments
- Active Test-time Vision-Language Navigation
- Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
- QuantMCP: Grounding Large Language Models in Verifiable Financial Reality
- BriefMe: A Legal NLP Benchmark for Assisting with Legal Briefs
- Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings
- Robust Learnability of Sample-Compressible Distributions under Noisy or Adversarial Perturbations
- Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit
- Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓp-Smooth Nonconvex Optimization
- MedCite: Can Language Models Generate Verifiable Text for Medicine?
- Scoring the Unscorables: Cyber Risk Assessment Beyond Internet Scans
- CAtCh: Cognitive Assessment through Cookie Thief
- Zero Shot Composed Image Retrieval
- Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
- EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras
- From Model-Based and Adaptive Control to Evolving Fuzzy Control