Papers
Wed 16 Apr 2025
273 papers
- ToolRL: Reward is All Tool Learning NeedsLLM agents and tool use → Reinforcement learning for LLM agents
- Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Generalization through variance: how noise shapes inductive biases in diffusion modelsDiffusion models → Diffusion foundations and sampling
- MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language ModelsEfficient LLM inference and serving → KV cache optimization
- Memorization vs. Reasoning: Updating LLMs with New KnowledgeLLM reasoning → Reasoning benchmarks and evaluation
- Evaluating the Diversity and Quality of LLM Generated ContentLLM reasoning → Reinforcement learning for reasoning +1
- Multimodal LLM Augmented Reasoning for Interpretable Visual Perception AnalysisLLM reasoning → Multimodal reasoning +1
- Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Agentic AI Optimisation (AAIO): what it is, how it works, why it matters, and how to deal with itLLM agents and tool use → Web, search, and research agents
- Dense Backpropagation Improves Training for Sparse Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Sparsity Outperforms Low-Rank Projections in Few-Shot AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer FrameworkDiffusion models → Image generation, text-to-image and editing
- WorldMem: Long-term Consistent World Simulation with MemoryWorld models → Video-generation world models and simulators
- Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language ModelsMixture-of-experts → MoE large language models
- Adapting a World Model for Trajectory Following in a 3D GameWorld models → Video-generation world models and simulators +1
- VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame RateDiffusion models → Video generation
- FLIP Reasoning ChallengeLLM reasoning → Multimodal reasoning
- Coding-Prior Guided Diffusion Network for Video DeblurringDiffusion models → Inverse problems and image restoration
- d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement LearningLLM reasoning → Diffusion reasoning and test-time scaling
- ARCeR: an Agentic RAG for the Automated Definition of Cyber RangesLLM agents and tool use → Agent threats, guardrails and governance
- Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -Multimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image SynthesisDiffusion models → Robustness, privacy and adversarial aspects
- Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text GenerationLLM safety and security → Watermarking generated content and models
- Generalized Visual Relation Detection with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Reasoning-Based AI for Startup Evaluation (R.A.I.S.E.): A Memory-Augmented, Multi-Step Decision FrameworkLLM reasoning → Test-time compute and efficient thinking
- Self-alignment of Large Video Language Models with Refined Regularized Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Modular-Cam: Modular Dynamic Camera-view Video Generation with LLMDiffusion models → Video generation
- pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the WildDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space ModelState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Understanding Attention Mechanism in Video Diffusion ModelsDiffusion models → Video generation
- Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain ManagementDeep reinforcement learning methods → RL for energy, networks and operations
- Instruction-augmented Multimodal Alignment for Image-Text and Element MatchingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Active Human Feedback Collection via Neural Contextual Dueling BanditsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Control of Rayleigh-B'enard Convection: Effectiveness of Reinforcement Learning in the Turbulent RegimeDeep reinforcement learning methods → RL with diffusion and flow models
- A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPsDeep reinforcement learning methods → RL theory and sample complexity
- Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream DatasetsLLM safety and security → Backdoor and data poisoning attacks
- R-Meshfusion: Reinforcement Learning Powered Sparse-View Mesh Reconstruction with Diffusion PriorsDiffusion models → 3D, point cloud and scene generation +1
- VIPO: Value Function Inconsistency Penalized Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Rethinking the Generation of High-Quality CoT Data from the Perspective of LLM-Adaptive Question Difficulty GradingLLM reasoning → Prompting and chain-of-thought reasoning
- AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly DetectionLLM reasoning → Chain-of-thought reasoning for driving
- A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment ExplorationDeep reinforcement learning methods → Safe and constrained RL
- Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole DetectionLLM reasoning → Reasoning benchmarks and evaluation
- Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel IntegrationLLM reasoning → LLM reasoning for recommendation
- ACE: Attentional Concept Erasure in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- A Visual RAG Pipeline for Few-Shot Fine-Grained Product ClassificationRetrieval-augmented generation → Multimodal RAG
- Could Thinking Multilingually Empower LLM Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
- TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images SegmentationDiffusion models → Medical imaging and segmentation
- Cost-Efficient LLM Serving in the Cloud: VM Selection with KV Cache OffloadingEfficient LLM inference and serving → Serving systems and request scheduling
- WebRollback: Enhancing Web Agents with Explicit Rollback MechanismsLLM agents and tool use → Web, search, and research agents
- PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark CompatibilityDiffusion models → Robustness, privacy and adversarial aspects +1
- Shared Disk KV Cache Management for Efficient Multi-Instance Inference in RAG-Powered LLMsEfficient LLM inference and serving → KV cache optimization
- Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT?LLM reasoning → Mathematical reasoning
- The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video GenerationRetrieval-augmented generation → Generation and context integration
- DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint MatchingDiffusion models → Flow matching, time series and science
- A Library of LLM Intrinsics for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Progent: Securing AI Agents with Privilege ControlLLM agents and tool use → Agent threats, guardrails and governance +1
- H3GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised LearningKnowledge distillation → Graph neural network distillation
- Interpreting the linear structure of vision-language model embedding spacesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for ForensicsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object ReconstructionDiffusion models → 3D, point cloud and scene generation
- InjectLab: A Tactical Framework for Adversarial Threat Modeling Against Large Language Models
- A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination
- Waking Up an AI: A Quantitative Framework for Prompt-Induced Phase Transition in Large Language Models
- RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
- Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling
- AI Safety Should Prioritize the Future of Work
- Naming is framing: How cybersecurity's language problems are repeating in AI governance
- Prognosis Of Lithium-Ion Battery Health with Hybrid EKF-CNN+LSTM Model Using Differential Capacity
- Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations
- Generative System Dynamics in Recurrent Neural Networks
- Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
- On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence
- Using customized GPT to develop prompting proficiency in architectural AI-generated images
- From job titles to jawlines: Using context voids to study generative AI systems
- The Balancing Act of Policies in Developing Machine Learning Explanations
- Mixer Metaphors: audio interfaces for non-musical applications
- Intelligence of Things: A Spatial Context-Aware Control System for Smart Devices
- Wavelet-based Variational Autoencoders for High-Resolution Image Generation
- MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance
- Graphical Models for Decision-Making: Integrating Causality and Game Theory
- Intelligent road crack detection and analysis based on improved YOLOv8
- Decision-based AI Visual Navigation for Cardiac Ultrasounds
- Is Trust Correlated With Explainability in AI? A Meta-Analysis
- Robust and Scalable Variational Bayes
- Corner Gradient Descent
- BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
- Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space
- AdaVid: Adaptive Video-Language Pretraining
- Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
- Requirements for Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope
- Beyond Text: Characterizing Domain Expert Needs in Document Research
- Accelerating Clinical NLP at Scale with a Hybrid Framework with Reduced GPU Demands: A Case Study in Dementia Identification
- MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer Devices
- Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs?
- Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
- Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
All 273
- Towards Conversational AI for Human-Machine Collaborative MLOps
- What do people expect from Artificial Intelligence? Public opinion on alignment in AI moderation from Germany and the United States
- Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
- You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
- SLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse
- Geometric Generality of Transformer-Based Gr"obner Basis Computation
- On Linear Representations and Pretraining Data Frequency in Language Models
- M2FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
- DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification
- Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
- Deriving Equivalent Symbol-Based Decision Models from Feedforward Neural Networks
- Enhanced Battery Capacity Estimation in Data-Limited Scenarios through Swarm Learning
- 3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap
- Learning Transferable Friction Models and LuGre Identification Via Physics-Informed Neural Networks
- Position: The Most Expensive Part of an LLM should be its Training Data
- Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations
- Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
- Standardization of Multi-Objective QUBOs
- Interpretable AI-driven Guidelines for Type 2 Diabetes Treatment from Observational Data
- Diffusion Based Robust LiDAR Place Recognition
- A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment
- NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
- Activated LoRA: Fine-tuned LLMs for Intrinsics
- A Survey on Archetypal Analysis
- Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
- Resonances in reflective Hamiltonian Monte Carlo
- Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping
- Themisto: Jupyter-Based Runtime Benchmark
- DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging
- A Method for Handling Negative Similarities in Explainable Graph Spectral Clustering of Text Documents -- Extended Version
- Towards an AI Observatory for the Nuclear Sector: A tool for anticipatory governance
- Replicating ReLM Results: Validating Large Language Models with ReLM
- Regist3R: Incremental Registration with Stereo Foundation Model
- Leveraging Large Language Models for Multi-Class and Multi-Label Detection of Drug Use and Overdose Symptoms on Social Media
- SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians
- Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
- BitNet b1.58 2B4T Technical Report
- How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
- Dysarthria Normalization via Local Lie Group Transformations for Robust ASR
- The Tenth NTIRE 2025 Image Denoising Challenge Report
- Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering
- HLS-Eval: A Benchmark and Framework for Evaluating LLMs on High-Level Synthesis Design Tasks
- Towards Learning to Complete Anything in Lidar
- SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
- Human Aligned Compression for Robust Models
- Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning
- Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
- SIDME: Self-supervised Image Demoir'eing via Masked Encoder-Decoder Reconstruction
- Cobra: Efficient Line Art COlorization with BRoAder References
- Watermarking Needs Input Repetition Masking
- Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
- Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
- Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling
- Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders
- Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
- From Requirements to Architecture: Semi-Automatically Generating Software Architectures
- Leave-One-Out Stable Conformal Prediction
- What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure
- CoMotion: Concurrent Multi-person 3D Motion
- SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data
- Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning
- Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification
- Mapping Controversies Using Artificial Intelligence: An Analysis of the Hamas-Israel Conflict on YouTube
- Approximation Bounds for Transformer Networks with Application to Regression
- Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task
- Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline
- RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
- CodingHomo: Bootstrapping Deep Homography With Video Coding
- FocusedAD: Character-centric Movie Audio Description
- Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications
- Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis
- Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
- Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
- Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals
- A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction
- Towards LLM Agents for Earth Observation
- Logits DeConfusion with CLIP for Few-Shot Learning
- Metric-Solver: Sliding Anchored Metric Depth Estimation from a Single Image
- Gauging Overprecision in LLMs: An Empirical Study
- AttentionDrop: A Novel Regularization Method for Transformer Models
- Neural Contextual Bandits Under Delayed Feedback Constraints
- Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection
- DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
- Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects
- A Generative Deep Learning Workflow for Inverse Molecular Design of Fuels
- Optimizing Compound Retrieval Systems
- Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events
- On the calibration of Just-in-time Defect Prediction
- Proof-Carrying Neuro-Symbolic Code
- Object Placement for Anything
- FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning
- Action Anticipation from SoccerNet Football Video Broadcasts
- Graph Network for Sign Language Tasks
- Purposefully Induced Psychosis (PIP): Embracing Hallucination as Imagination in Large Language Models
- Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
- Diffusion Generative Recommendation with Continuous Tokens
- Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder
- A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning
- A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions
- Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
- Large Language Models as Quasi-crystals: Coherence Without Repetition in Generative Text
- Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
- Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
- Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews
- SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared Task on Hallucinations and Related Observable Overgeneration Mistakes
- Reassessing Extractive QA Datasets at Scale: LLM-as-a-Judge and In-Depth Analyses
- Securing the Skies: A Comprehensive Survey on Anti-UAV Methods, Benchmarking, and Future Directions
- Exploring Video-Based Driver Activity Recognition under Noisy Labels
- Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning
- Robust and Fine-Grained Detection of AI Generated Texts
- Flow Intelligence: Robust Feature Matching via Temporal Signature Correlation
- ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation
- An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation
- Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach
- FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
- Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
- Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement
- Search is All You Need for Few-shot Anomaly Detection
- CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting
- HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems
- Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems
- Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
- Benchmarking Mutual Information-based Loss Functions in Federated Learning
- Factor-MCLS: Multi-agent learning system with reward factor matrix and multi-critic framework for dynamic portfolio optimization
- Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
- A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images
- On the Problem of Best Arm Retention
- Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances
- Synthetic Data for Blood Vessel Network Extraction
- Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation
- EngramNCA: a Neural Cellular Automaton Model of Memory Transfer
- Proximal Inference for Indirect and Intervening Effects in Population Interventions
- Boosting Multi-View Stereo with Depth Foundation Model in the Absence of Real-World Labels
- Evaluating the Goal-Directedness of Large Language Models
- GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
- EmoFSM: A Finite State Machine for Emotional Support Conversation
- Support is All You Need for Certified VAE Training
- Emergence of Computational Structure in a Neural Network Physics Simulator
- D'ej`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation
- Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting
- ARWI: Arabic Write and Improve
- Learning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis
- Manifold meta-learning for reduced-complexity neural system identification
- Efficient and Adaptive Simultaneous Speech Translation with Fully Unidirectional Architecture
- Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs
- Neighbor-Based Feature and Index Enhancement for Person Re-Identification
- Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
- Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records
- DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
- ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
- Agile Retrospectives: What went well? What didn't go well? What should we do?
- Multimodal Spatio-temporal Graph Learning for Alignment-free RGBT Video Object Detection
- Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets
- Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
- TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion
- Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters
- Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
- Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective
- GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
- Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures
- SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
- Recent Advances in 3D Object and Scene Generation: A Survey
- EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
- Saga: Capturing Multi-granularity Semantics from Massive Unlabelled IMU Data for User Perception
- Unravelling Technical debt topics through Time, Programming Languages and Repository
- The Hitchhiker's Guide to Program Analysis, Part II: Deep Thoughts by LLMs
- Towards Safe Synthetic Image Generation On the Web: A Multimodal Robust NSFW Defense and Million Scale Dataset
- FiGO: Fine-Grained Object Counting without Annotations
- Clustering and analysis of user behaviour in blockchain: A case study of Planet IX
- Non-uniform Point Cloud Upsampling via Local Manifold Distribution
- An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
- Deep Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions
- Computational Basis of LLM's Decision Making in Social Simulation