mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 11 Jun 2024

365 papers

  1. RogueGPT: dis-ethical tuning transforms ChatGPT4 into a Rogue AI in 158 WordsLLM safety and security → Prompt injection and agent security
  2. Knowledge Return Oriented Prompting (KROP)LLM safety and security → Prompt injection and agent security
  3. Beyond Words: On Large Language Models Actionability in Mission-Critical Risk AnalysisRetrieval-augmented generation → Privacy and security of RAG
  4. A Lightweight Framework for Adaptive Retrieval In Code Completion With Critique ModelRetrieval-augmented generation → RAG for code
  5. Unifying Interpretability and Explainability for Alzheimer's Disease Progression PredictionDeep reinforcement learning methods → RL for clinical treatment and surgery
  6. HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction AwarenessDiffusion models → Diffusion and flow policies for robotics
  7. UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  8. Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph AnalysisLLM reasoning → Knowledge- and tool-augmented reasoning
  9. Label Smoothing Improves Machine UnlearningLLM safety and security → Machine unlearning
  10. Adversarial Machine UnlearningLLM safety and security → Machine unlearning
  11. AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video GenerationDiffusion models → Audio, speech and music
  12. FastAST: Accelerating Audio Spectrogram Transformer via Token Merging and Cross-Model Knowledge DistillationEfficient LLM inference and serving → Audio and omni-modal token compression +1
  13. Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted TreesDiffusion models → Diffusion foundations and sampling
  14. OPTune: Efficient Online Preference TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  15. Pre-training Feature Guided Diffusion Model for Speech EnhancementDiffusion models → Audio, speech and music
  16. MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  17. MambaLRP: Explaining Selective State Space Sequence ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  18. AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. A3VLM: Actionable Articulation-Aware Vision Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  20. CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  21. Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without GuidanceDiffusion models → Image generation, text-to-image and editing
  22. Autoregressive Pretraining with Mamba in VisionState-space sequence models (S4, Mamba) → Vision Mamba backbones
  23. QuickLLaMA: Query-aware Inference Acceleration for Large Language ModelsEfficient LLM inference and serving → Serving systems and request scheduling
  24. Simple and Effective Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
  25. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
  26. Neural Gaffer: Relighting Any Object via DiffusionDiffusion models → 3D, point cloud and scene generation
  27. Instant 3D Human Avatar Generation using Image Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  28. Beyond Model Collapse: Scaling Up with Synthesized Data Requires VerificationSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  29. Flow map matching with stochastic interpolants: A mathematical framework for consistency modelsDiffusion models → Flow matching, time series and science
  30. Understanding Visual Concepts Across ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  31. RaD-Net 2: A causal two-stage repairing and denoising speech enhancement network with knowledge distillation and complex axial self-attentionKnowledge distillation → Speech and audio distillation
  32. GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionDiffusion models → Flow matching, time series and science
  33. Image Neural Field Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  34. 4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  35. Noise-robust Speech Separation with Fast Generative CorrectionDiffusion models → Audio, speech and music
  36. Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent AnalysisLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  37. Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8BLLM reasoning → Mathematical reasoning
  38. Large Language Models are Limited in Out-of-Context Knowledge ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  39. World Models with Hints of Large Language Models for Goal AchievingWorld models → Latent dynamics models and model-based RL
  40. When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language ModelsEfficient LLM inference and serving → Speculative decoding
  41. DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  42. 3D-Properties: Identifying Challenges in DPO and Charting a Path ForwardLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  43. Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action SamplingDeep reinforcement learning methods → RL for energy, networks and operations
  44. Multi-objective Reinforcement learning from AI FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  45. DCA-Bench: A Benchmark for Dataset Curation AgentsLLM agents and tool use → Web, search, and research agents
  46. Scholarly Question Answering using Large Language Models in the NFDI4DataScience GatewayRetrieval-augmented generation → RAG robustness and adaptive retrieval
  47. Hybrid Reinforcement Learning from Offline Observation AloneDeep reinforcement learning methods → Deep RL algorithms and representations
  48. Let Go of Your Labels with Unsupervised TransferMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  49. Needle In A Multimodal HaystackMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  50. A Synthetic Dataset for Personal Attribute InferenceSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  51. Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  52. Merging Improves Self-Critique Against Jailbreak AttacksLLM safety and security → Jailbreaking
  53. RDM: Recurrent Diffusion Model for Human Motion GenerationDiffusion models → Video generation
  54. Teaching Language Models to Self-Improve by Learning from Language FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  55. FaceGPT: Self-supervised Learning to Chat about 3D Human FacesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  56. Scaling Large Language Model-based Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  57. Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models +1
  58. CHARME: A chain-based reinforcement learning approach for the minor embedding problemDeep reinforcement learning methods → Quantum reinforcement learning
  59. Augmenting Offline RL with Unlabeled DataOffline RL and imitation learning from data → Offline RL algorithms +1
  60. Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference TreesLLM reasoning → Reasoning for agents, planning and code
  61. AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video GroundingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  62. RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  63. DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  64. Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  65. MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  66. Effectively Compress KV Heads for LLMEfficient LLM inference and serving → KV cache optimization
  67. CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent CooperationLLM agents and tool use → General LLM agent frameworks and benchmarks
  68. TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
  69. DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  70. Integrating Domain Knowledge for handling Limited Data in Offline RLOffline RL and imitation learning from data → Offline RL algorithms
  71. Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation LearningLLM reasoning → Knowledge- and tool-augmented reasoning
  72. Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  73. GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language ModelRetrieval-augmented generation → RAG for code
  74. Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object DetectionKnowledge distillation → Detection and dense prediction distillation
  75. DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning ApproachDeep reinforcement learning methods → RL for energy, networks and operations
  76. Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-DistillationKnowledge distillation → Multimodal distillation
  77. Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside DiffusionDiffusion models → 3D, point cloud and scene generation
  78. Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?LLM reasoning → Multimodal reasoning +1
  79. Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and ChallengesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  80. Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse ProblemsDiffusion models → Inverse problems and image restoration
  81. AsyncDiff: Parallelizing Diffusion Models by Asynchronous DenoisingDiffusion models → Diffusion foundations and sampling
  82. Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  83. Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance DistillationDiffusion models → Video generation
  84. PLUM: Improving Code LMs with Execution-Guided On-Policy Preference Learning Driven By Synthetic Test CasesLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  85. Learning Reward and Policy Jointly from Demonstration and Preference Improves AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  86. Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman ProblemsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  87. Ollabench: Evaluating LLMs' Reasoning for Human-centric Interdependent CybersecurityLLM reasoning → Reasoning for agents, planning and code
  88. Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  89. Evaluating Contextually Personalized Programming Exercises Created with Generative AI
  90. A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion
  91. FoldToken2: Learning compact, invariant and generative protein structure language
  92. RACon: Retrieval-Augmented Simulated Character Locomotion Control
  93. Large-Scale Contextual Market Equilibrium Computation through Deep Learning
  94. PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models
  95. PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice
  96. Meent: Differentiable Electromagnetic Simulator for Machine Learning
  97. ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets
  98. Using General Large Language Models to Classify Mathematical Documents
  99. Connected Speech-Based Cognitive Assessment in Chinese and English
  100. A Conceptual Framework For Trie-Augmented Neural Networks (TANNS)
All 365
  1. Markov Constraint as Large Language Model Surrogate
  2. Autograding Mathematical Induction Proofs with Natural Language Processing
  3. Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation of expected values
  4. COVID-19 Twitter Sentiment Classification Using Hybrid Deep Learning Model Based on Grid Search Methodology
  5. Improving Language Models for Emotion Analysis: Insights from Cognitive Science
  6. Large Language Model-empowered multimodal strain sensory system for shape recognition, monitoring, and human interaction of tensegrity
  7. Fast solution to the fair ranking problem using the Sinkhorn algorithm
  8. FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examination
  9. Flextron: Many-in-One Flexible Large Language Model
  10. Comment on paper: Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  11. Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics
  12. Advancing Roadway Sign Detection with YOLO Models and Transfer Learning
  13. ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability
  14. Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes
  15. Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
  16. Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
  17. Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
  18. Self-attention-based non-linear basis transformations for compact latent space modelling of dynamic optical fibre transmission matrices
  19. DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
  20. Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
  21. Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
  22. Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
  23. Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening
  24. LT4SG@SMM4H24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models
  25. The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition
  26. Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems
  27. C3DAG: Controlled 3D Animal Generation using 3D pose guidance
  28. Back2Color: Domain-Adaptive Synthetic-to-Real Monocular Depth Estimation for Dynamic Traffic Scenes
  29. On the Application of Egocentric Computer Vision to Industrial Scenarios
  30. The Future of AI-Driven Software Engineering
  31. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models
  32. REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
  33. A Concise Mathematical Description of Active Inference in Discrete Time
  34. Unleashing the Power of Transfer Learning Model for Sophisticated Insect Detection: Revolutionizing Insect Classification
  35. LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
  36. Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
  37. Vehicle Speed Detection System Utilizing YOLOv8: Enhancing Road Safety and Traffic Management for Metropolitan Areas
  38. Diagnosing and fixing common problems in Bayesian optimization for molecule design
  39. A Deep Learning Approach to Detect Complete Safety Equipment For Construction Workers Based On YOLOv7
  40. Object-level Scene Deocclusion
  41. Graphical Perception of Saliency-based Model Explanations
  42. CUPID: Contextual Understanding of Prompt-conditioned Image Distributions
  43. Sustainable self-supervised learning for speech representations
  44. A PRISMA Driven Systematic Review of Publicly Available Datasets for Benchmark and Model Developments for Industrial Defect Detection
  45. A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles
  46. Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART
  47. AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
  48. Test-Time Fairness and Robustness in Large Language Models
  49. Impact of AI-tooling on the Engineering Workspace
  50. Watching Swarm Dynamics from Above: A Framework for Advanced Object Tracking in Drone Videos
  51. Automated Pavement Cracks Detection and Classification Using Deep Learning
  52. PLT-D3: A High-fidelity Dynamic Driving Simulation Dataset for Stereo Depth and Scene Flow
  53. A Unified Framework for Integer Programming Formulation of Graph Matching Problems
  54. Progress Towards Decoding Visual Imagery via fNIRS
  55. ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones
  56. Multi-View Large Reconstruction Model via Geometry-Aware Positional Encoding and Attention
  57. SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information
  58. Generating Human Understandable Explanations for Node Embeddings
  59. When is an Embedding Model More Promising than Another?
  60. CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
  61. Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
  62. VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
  63. Modeling Sustainable Resource Management using Active Inference
  64. StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream Learning
  65. Tag and correct: high precision post-editing approach to correction of speech recognition errors
  66. Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
  67. An Image is Worth 32 Tokens for Reconstruction and Generation
  68. Image and Video Tokenization with Binary Spherical Quantization
  69. Zero-shot Image Editing with Reference Imitation
  70. Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
  71. Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena
  72. Situational Awareness Matters in 3D Vision Language Reasoning
  73. Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
  74. Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis
  75. Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
  76. Hearing Anything Anywhere
  77. MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
  78. Faster Spectral Density Estimation and Sparsification in the Nuclear Norm
  79. Physics-guided weak-form discovery of reduced-order models for trapped ultracold hydrodynamics
  80. THaLLE: Text Hyperlocally Augmented Large Language Extension -- Technical Report
  81. Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices
  82. Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions
  83. SPIN: Spacecraft Imagery for Navigation
  84. Trim 3D Gaussian Splatting for Accurate Geometry Representation
  85. TextGrad: Automatic "Differentiation" via Text
  86. CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
  87. Paraphrasing in Affirmative Terms Improves Negation Understanding
  88. ReduceFormer: Attention with Tensor Reduction by Summation
  89. Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Prediction
  90. Advancing Annotation of Stance in Social Media Posts: A Comparative Analysis of Large Language Models and Crowd Sourcing
  91. Comparing Deep Learning Models for Rice Mapping in Bhutan Using High Resolution Satellite Imagery
  92. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
  93. Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
  94. Quantifying Local Model Validity using Active Learning
  95. OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
  96. Multimodal Belief Prediction
  97. Estimating the Hallucination Rate of Generative AI
  98. fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions
  99. A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
  100. Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
  101. Boosted Conformal Prediction Intervals
  102. On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
  103. Textual Similarity as a Key Metric in Machine Translation Quality Estimation
  104. DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
  105. Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
  106. Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments
  107. Learning Domain-Invariant Features for Out-of-Context News Detection
  108. GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
  109. DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 38 Subclasses
  110. MINERS: Multilingual Language Models as Semantic Retrievers
  111. Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
  112. Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization
  113. Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
  114. VersiCode: Towards Version-controllable Code Generation
  115. Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent
  116. Private Geometric Median
  117. Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy
  118. A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
  119. Guiding LLM Temporal Logic Generation with Explicit Separation of Data and Control
  120. Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance
  121. Visual Representation Learning with Stochastic Frame Prediction
  122. Large Language Models for Constrained-Based Causal Discovery
  123. Improving the realism of robotic surgery simulation through injection of learning-based estimated errors
  124. Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
  125. BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
  126. Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration
  127. GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews
  128. AI Sandbagging: Language Models can Strategically Underperform on Evaluations
  129. Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
  130. Formally Verified Approximate Policy Iteration
  131. Transferring Knowledge from Large Foundation Models to Small Downstream Models
  132. Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection
  133. Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach
  134. CTC-based Non-autoregressive Textless Speech-to-Speech Translation
  135. Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field
  136. Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
  137. Should XAI Nudge Human Decisions with Explanation Biasing?
  138. A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
  139. Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
  140. Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval
  141. Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
  142. MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword Spotting
  143. BertaQA: How Much Do Language Models Know About Local Culture?
  144. Instruct Large Language Models to Drive like Humans
  145. OTO Planner: An Efficient Only Travelling Once Exploration Planner for Complex and Unknown Environments
  146. Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
  147. Joint Learning of Context and Feedback Embeddings in Spoken Dialogue
  148. Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?
  149. Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models
  150. Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning
  151. Unsupervised Object Detection with Theoretical Guarantees
  152. Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication
  153. Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation
  154. SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
  155. Active learning for affinity prediction of antibodies
  156. Scientific Computing with Large Language Models
  157. AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection
  158. Towards Realistic Data Generation for Real-World Super-Resolution
  159. Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models
  160. Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
  161. Are Protein Language Models Compute Optimal?
  162. Dynamical Mean-Field Theory of Self-Attention Neural Networks
  163. Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
  164. MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs
  165. On the Hallucination in Simultaneous Machine Translation
  166. OPFData: Large-scale datasets for AC optimal power flow with topological perturbations
  167. DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms
  168. Decipherment-Aware Multilingual Learning in Jointly Trained Language Models
  169. Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms
  170. Haptic Repurposing with GenAI
  171. Which Country Is This? Automatic Country Ranking of Street View Photos
  172. Reliable Evaluation and Benchmarks for Statement Autoformalization
  173. Open-World Human-Object Interaction Detection via Multi-modal Prompts
  174. Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models
  175. MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
  176. Can Foundation Models Reliably Identify Spatial Hazards? A Case Study on Curb Segmentation
  177. MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD
  178. RGB-Sonar Tracking Benchmark and Spatial Cross-Attention Transformer Tracker
  179. TernaryLLM: Ternarized Large Language Model
  180. RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
  181. VoxNeuS: Enhancing Voxel-Based Neural Surface Reconstruction via Gradient Interpolation
  182. EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark
  183. Deep Learning-Based Approach for User Activity Detection with Grant-Free Random Access in Cell-Free Massive MIMO
  184. CrossPT-EEG: A Benchmark for Cross-Participant and Cross-Time Generalization of EEG-based Visual Decoding
  185. Wearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks
  186. Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
  187. Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
  188. An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
  189. Translating speech with just images
  190. Mining Frequent Structures in Conceptual Models
  191. Logical Distillation of Graph Neural Networks
  192. CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
  193. T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
  194. Unlocking the Potential of Metaverse in Innovative and Immersive Digital Health
  195. Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph
  196. NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images
  197. Agnostic Sharpness-Aware Minimization
  198. MR-RawNet: Speaker verification system with multiple temporal resolutions for variable duration utterances using raw waveforms
  199. D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
  200. Guiding Catalogue Enrichment with User Queries
  201. Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter
  202. Data Complexity in Expressive Description Logics With Path Expressions
  203. CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
  204. Leveraging Large Language Models for Efficient Failure Analysis in Game Development
  205. Efficient Mixture Learning in Black-Box Variational Inference
  206. Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning
  207. Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology
  208. On the relation between trainability and dequantization of variational quantum learning models
  209. HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation
  210. TIM: Temporal Interaction Model in Notification System
  211. Reconstructing the Tropical Pacific Upper Ocean using Online Data Assimilation with a Deep Learning model
  212. Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments
  213. Reading Miscue Detection in Primary School through Automatic Speech Recognition
  214. GridPE: A Grid Cell-Inspired Unified Position Embedding for Arbitrary-Dimensional Spaces
  215. 1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
  216. EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving
  217. PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving
  218. Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model
  219. RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks
  220. Fairness-Aware Meta-Learning via Nash Bargaining
  221. Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
  222. Entropy-Reinforced Planning with Large Language Models for Drug Discovery
  223. LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection
  224. Learning Discrete Latent Variable Structures with Tensor Rank Conditions
  225. MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations
  226. Delving into LLM-assisted writing in biomedical publications through excess vocabulary
  227. Bridging Language Gaps in Audio-Text Retrieval
  228. Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference
  229. MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
  230. DecoR: Deconfounding Time Series with Robust Regression
  231. Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
  232. On the H"older Stability of Multiset and Graph Neural Networks
  233. AudioMarkBench: Benchmarking Robustness of Audio Watermarking
  234. Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
  235. Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
  236. RWKV-CLIP: A Robust Vision-Language Representation Learner
  237. Beyond the Norms: Detecting Prediction Errors in Regression Models
  238. Missingness-resilient Video-enhanced Multimodal Disfluency Detection
  239. Evolving Subnetwork Training for Large Language Models
  240. Low Rank Multi-Dictionary Selection at Scale
  241. ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models
  242. Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods
  243. SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo Matching
  244. A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
  245. Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection
  246. Neural Visibility Field for Uncertainty-Driven Active Mapping
  247. CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only
  248. Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
  249. Optimal Matrix-Mimetic Tensor Algebras via Variable Projection
  250. Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges
  251. A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation
  252. Explaining Representation Learning with Perceptual Components
  253. Non-autoregressive Personalized Bundle Generation
  254. Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit
  255. UVIS: Unsupervised Video Instance Segmentation
  256. SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale
  257. On the Limitation of Kernel Dependence Maximization for Feature Selection
  258. Nonlinear time-series embedding by monotone variational inequality
  259. Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
  260. Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification
  261. Modeling language contact with the Iterated Learning Model
  262. What's in an embedding? Would a rose by any embedding smell as sweet?
  263. Validating LLM-Generated Programs with Metamorphic Prompt Testing
  264. FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion
  265. Design and Scheduling of an AI-based Queueing System