mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 20 Jun 2024

385 papers

  1. Using Multimodal Foundation Models and Clustering for Improved Style Ambiguity LossDiffusion models → Image generation, text-to-image and editing
  2. Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion RecognitionKnowledge distillation → Multimodal distillation
  3. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  4. Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkRetrieval-augmented generation → RAG robustness and adaptive retrieval
  5. Learning to Select Goals in Automated Planning with Deep-Q LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  6. Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic DataRetrieval-augmented generation → Privacy and security of RAG
  7. Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning ApproachEnd-to-end autonomous driving → Cooperative and V2X driving
  8. A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  9. Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image TranslationDiffusion models → Diffusion foundations and sampling
  10. Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous SystemsDiffusion models → Diffusion and flow policies for robotics
  11. A General Control-Theoretic Approach for Reinforcement Learning: Theory and AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
  12. Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation FrameworksRetrieval-augmented generation → RAG pipeline design and evaluation
  13. TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and SummarizationLLM reasoning → Knowledge- and tool-augmented reasoning
  14. A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over GraphsDeep reinforcement learning methods → RL for games and combinatorial optimization
  15. Can LLMs Learn by Teaching for Better Reasoning? A Preliminary StudyLLM reasoning → Prompting and chain-of-thought reasoning +1
  16. SORRY-Bench: Systematically Evaluating Large Language Model Safety RefusalLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  17. VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of ThoughtLLM reasoning → Multimodal reasoning +3
  18. Model Merging and Safety Alignment: One Bad Model Spoils the BunchLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  19. Whiteboard-of-Thought: Thinking Step-by-Step Across ModalitiesLLM reasoning → Multimodal reasoning +1
  20. Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
  21. A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  22. GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language ModelsLLM agents and tool use → Web, search, and research agents
  23. Consistency Models Made EasyDiffusion models → Diffusion foundations and sampling
  24. Prism: A Framework for Decoupling and Assessing the Capabilities of VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  25. IRASim: A Fine-Grained World Model for Robot ManipulationWorld models → Embodied and robot world models
  26. Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 StepsDiffusion models → Image generation, text-to-image and editing
  27. MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingDeep reinforcement learning methods → Adversarial robustness and RL in finance
  28. RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-FoldLLM reasoning → Mathematical reasoning +1
  29. DeciMamba: Exploring the Length Extrapolation Potential of MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  30. PostMark: A Robust Blackbox Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
  31. MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  32. Investigating Mysteries of CoT-Augmented DistillationLLM reasoning → Prompting and chain-of-thought reasoning
  33. V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic DataDiffusion models → Video generation
  34. On Newton's Method to Unlearn Neural NetworksLLM safety and security → Machine unlearning
  35. LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU DataLLM reasoning → Clinical and biomedical applications
  36. CodeRAG-Bench: Can Retrieval Augment Code Generation?Retrieval-augmented generation → RAG for code
  37. African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object ClassificationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  38. Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?Multimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  39. SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference DatasetLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  40. Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented DialogueDeep reinforcement learning methods → RL training of language and agent models
  41. CollaFuse: Collaborative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  42. SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource LanguagesLLM reasoning → Reasoning benchmarks and evaluation +1
  43. Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEEEfficient LLM inference and serving → Early exit and edge inference
  44. Jailbreaking as a Reward Misspecification ProblemLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  45. Active Diffusion SubsamplingDiffusion models → Inverse problems and image restoration
  46. Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract TheoryLLM agents and tool use → Social simulation and multi-agent debate
  47. Learning to Transfer for Evolutionary MultitaskingDeep reinforcement learning methods → Deep RL algorithms and representations
  48. Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented MetricsDeep reinforcement learning methods → Interpretable and logic-guided RL
  49. DASB - Discrete Audio and Speech BenchmarkMultimodal LLMs / vision-language models → Video understanding with MLLMs
  50. Leveraging LLMs for Bangla Grammar Error Correction:Error Categorization, Synthetic Data, and Model EvaluationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  51. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningLLM reasoning → Reasoning benchmarks and evaluation
  52. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  53. QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  54. EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary AlgorithmsLLM agents and tool use → General LLM agent frameworks and benchmarks
  55. REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretabilityDeep reinforcement learning methods → Interpretable and logic-guided RL
  56. SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer ShotsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  57. On the Representational Capacity of Neural Language Models with Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  58. VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language ModelMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  59. Timo: Towards Better Temporal Reasoning for Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  60. CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationDiffusion models → Medical imaging and segmentation
  61. DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  62. Tractable Equilibrium Computation in Markov Games through Risk AversionDeep reinforcement learning methods → RL for games and combinatorial optimization
  63. Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety NeuronsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
  64. MACAROON: Training Vision-Language Models To Be Your Engaged PartnersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  65. ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-TuningDiffusion models → Video generation
  66. Towards Event-oriented Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  67. EduQate: Generating Adaptive Curricula through RMABs in Education SettingsDeep reinforcement learning methods → RL theory and sample complexity
  68. Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  69. HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
  70. Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language ModelsLLM safety and security → Machine unlearning
  71. ReaL: Efficient RLHF Training of Large Language Models with Parameter ReallocationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  72. GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic EnvironmentsEnd-to-end autonomous driving → Cooperative and V2X driving
  73. TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving GoodputEfficient LLM inference and serving → Speculative decoding
  74. VGA: Vision GUI Assistant -- Minimizing Hallucinations through Image-Centric Fine-TuningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  75. Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data SharingOffline RL and imitation learning from data → Offline RL algorithms
  76. How Many Parameters Does it Take to Change a Light Bulb? Evaluating Performance in Self-Play of Conversational Games as a Function of Model CharacteristicsSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
  77. Prompt Injection Attacks in Defended SystemsLLM safety and security → Prompt injection and agent security
  78. Constrained Meta Agnostic Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  79. A Practical Diffusion Path for SamplingDiffusion models → Diffusion foundations and sampling
  80. Using Game Play to Investigate Multimodal and Conversational Grounding in Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  81. LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language FeedbackLLM reasoning → Mathematical reasoning
  82. Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  83. Bayesian Inverse Reinforcement Learning for Non-Markovian RewardsOffline RL and imitation learning from data → Inverse reinforcement learning +1
  84. Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation LearningDiffusion models → Medical imaging and segmentation
  85. MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMsLLM reasoning → Reasoning benchmarks and evaluation
  86. Equivariant Offline Reinforcement LearningOffline RL and imitation learning from data → Real-world robot offline RL
  87. CityGPT: Empowering Urban Spatial Cognition of Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  88. CityBench: Evaluating the Capabilities of Large Language Models for Urban TasksWorld models → World models for language agents +1
  89. Synthesizing Multimodal Electronic Health Records via Predictive Diffusion ModelsDiffusion models → Medical imaging and segmentation
  90. AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-ThoughtLLM reasoning → Reasoning benchmarks and evaluation
  91. Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process AlignmentLLM reasoning → Clinical and biomedical applications
  92. EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust AlterationsDiffusion models → Robustness, privacy and adversarial aspects +1
  93. GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  94. PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal DocumentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  95. From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption EnrichmentMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  96. Beyond Optimism: Exploration With Partially Observable RewardsDeep reinforcement learning methods → Deep RL algorithms and representations
  97. The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation ApplicationsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  98. CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines
  99. AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization
  100. LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
All 385
  1. An Analysis of Multilingual FActScore
  2. Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints
  3. SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale
  4. Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study
  5. System Description for the Displace Speaker Diarization Challenge 2023
  6. Machine Learning Models for Accurately Predicting Properties of CsPbCl3 Perovskite Quantum Dots
  7. Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics
  8. What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs
  9. Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
  10. Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
  11. ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
  12. Graph Structure Learning with Interpretable Bayesian Neural Networks
  13. Understanding Finetuning for Factual Knowledge Extraction
  14. Active Learning for Fair and Stable Online Allocations
  15. ACR: A Benchmark for Automatic Cohort Retrieval
  16. Learning to Cover: Online Learning and Optimization with Irreversible Decisions
  17. Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation
  18. Evaluating Numerical Reasoning in Text-to-Image Models
  19. How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence
  20. ChatGPT as Research Scientist: Probing GPT's Capabilities as a Research Librarian, Research Ethicist, Data Generator and Data Predictor
  21. RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
  22. An LLM Feature-based Framework for Dialogue Constructiveness Assessment
  23. Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain
  24. A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes
  25. SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions
  26. An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks
  27. Behavior-Inspired Neural Networks for Relational Inference
  28. Training Next Generation AI Users and Developers at NCSA
  29. A General Online Algorithm for Optimizing Complex Performance Metrics
  30. Latent Variable Sequence Identification for Cognitive Models with Neural Network Estimators
  31. Learning to Retrieve Iteratively for In-Context Learning
  32. Dissecting the Ullman Variations with a SCALPEL: Why do LLMs fail at Trivial Alterations to the False Belief Task?
  33. An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
  34. Pathological Regularization Regimes in Classification Tasks
  35. Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
  36. 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
  37. An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study
  38. Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models
  39. MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
  40. Factual Dialogue Summarization via Learning from Large Language Models
  41. Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
  42. Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions
  43. Preferential Multi-Objective Bayesian Optimization
  44. Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach
  45. Depth F1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability
  46. Voice Disorder Analysis: a Transformer-based Approach
  47. A Contrastive Learning Approach to Mitigate Bias in Speech Models
  48. TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
  49. Uniform Convergence of Adversarially Robust Classifiers
  50. Dravidian language family through Universal Dependencies lens
  51. Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis
  52. This Looks Better than That: Better Interpretable Models with ProtoPNeXt
  53. Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
  54. Exploring Design Choices for Building Language-Specific LLMs
  55. Co-training for Low Resource Scientific Natural Language Inference
  56. Advantage Alignment Algorithms
  57. OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
  58. HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
  59. Major Entity Identification: A Generalizable Alternative to Coreference Resolution
  60. LLM Granularity for On-the-Fly Robot Control
  61. Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
  62. Holistic Evaluation for Interleaved Text-and-Image Generation
  63. Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments
  64. Adaptive Manipulation using Behavior Trees
  65. Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
  66. Adversaries Can Misuse Combinations of Safe Models
  67. Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA
  68. Physics-informed neural networks for parameter learning of wildfire spreading
  69. How to Compute the Probability of a Word
  70. CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics
  71. xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics
  72. Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
  73. Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Models
  74. Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
  75. Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
  76. Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)
  77. Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
  78. A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
  79. Fantastic Copyrighted Beasts and How (Not) to Generate Them
  80. Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
  81. Solving a Stackelberg Game on Transportation Networks in a Dynamic Crime Scenario: A Mixed Approach on Multi-Layer Networks
  82. Evidence of a log scaling law for political persuasion with large language models
  83. Translating Across Cultures: LLMs for Intralingual Cultural Adaptation
  84. Overview of the CAIL 2023 Argument Mining Track
  85. Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary
  86. rKAN: Rational Kolmogorov-Arnold Networks
  87. Instruction Pre-Training: Language Models are Supervised Multitask Learners
  88. Proceedings of The second international workshop on eXplainable AI for the Arts (XAIxArts)
  89. Valid Error Bars for Neural Weather Models using Conformal Prediction
  90. Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines
  91. Revealing Vision-Language Integration in the Brain with Multimodal Networks
  92. Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
  93. Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with Machine Learning
  94. Learning telic-controllable state representations
  95. Data-Centric AI in the Age of Large Language Models
  96. Self-supervised Multi-actor Social Activity Understanding in Streaming Videos
  97. Movement Prediction-Adjusted Naive Forecast: Is the Naive Baseline Unbeatable in Financial Time Series Forecasting?
  98. A Review of Common Online Speaker Diarization Methods
  99. Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas
  100. Healing Powers of BERT: How Task-Specific Fine-Tuning Recovers Corrupted Language Models
  101. Centimeter Positioning Accuracy using AI/ML for 6G Applications
  102. Capturing Temporal Components for Time Series Classification
  103. MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
  104. APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
  105. Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
  106. Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
  107. Video Generation with Learned Action Prior
  108. Selected Languages are All You Need for Cross-lingual Truthfulness Transfer
  109. Principles of frugal inference and control
  110. Transferable Boltzmann Generators
  111. CascadeServe: Unlocking Model Cascades for Inference Serving
  112. FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding
  113. Communication-efficient Vertical Federated Learning via Compressed Error Feedback
  114. Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting
  115. Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data
  116. FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
  117. Fair Streaming Feature Selection
  118. Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
  119. ATAC-Net: Zoomed view works better for Anomaly Detection
  120. SEC-QA: A Systematic Evaluation Corpus for Financial QA
  121. Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
  122. CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
  123. Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification
  124. PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions
  125. Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge
  126. Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization
  127. Robustness Analysis of AI Models in Critical Energy Systems
  128. Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment
  129. The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing
  130. Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning
  131. When Can You Trust Your Explanations? A Robustness Analysis on Feature Importances
  132. nabla2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
  133. IWISDM: Assessing instruction following in multimodal models at scale
  134. HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
  135. Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses
  136. Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction
  137. Linearly-Interpretable Concept Embedding Models for Text Analysis
  138. Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization
  139. Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference
  140. medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
  141. Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers
  142. Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
  143. LiveMind: Low-latency Large Language Models with Simultaneous Inference
  144. The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts
  145. Identifying User Goals from UI Trajectories
  146. Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability
  147. Infusing clinical knowledge into tokenisers for language models
  148. Cross-level Requirement Traceability: A Novel Approach Integrating Bag-of-Words and Word Embedding for Enhanced Similarity Functionality
  149. Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES
  150. FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation
  151. QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis
  152. Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
  153. Resource Optimization for Tail-Based Control in Wireless Networked Control Systems
  154. AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload
  155. Proximal Interacting Particle Langevin Algorithms
  156. Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
  157. Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
  158. FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability
  159. Step-Back Profiling: Distilling User History for Personalized Scientific Writing
  160. Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
  161. The Impact of AI on Perceived Job Decency and Meaningfulness: A Case Study
  162. MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset
  163. Concentration of a sparse Bayesian model with Horseshoe prior in estimating high-dimensional precision matrix
  164. On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
  165. Intelligent Interface: Enhancing Lecture Engagement with Didactic Activity Summaries
  166. VeriFlow: Modeling Distributions for Neural Network Verification
  167. Zero-Shot Image Denoising for High-Resolution Electron Microscopy
  168. Unleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification
  169. MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
  170. DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation
  171. E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion
  172. Non-Negative Universal Differential Equations With Applications in Systems Biology
  173. CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
  174. LeYOLO, New Embedded Architecture for Object Detection
  175. Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
  176. Enhancing robustness of data-driven SHM models: adversarial training with circle loss
  177. aeon: a Python toolkit for learning from time series
  178. Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  179. Uncertainty and Self-Supervision in Single-View Depth
  180. Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery
  181. Proving Olympiad Algebraic Inequalities without Human Demonstrations
  182. Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
  183. Complexity of Symbolic Representation in Working Memory of Transformer Correlates with the Complexity of a Task
  184. Self-Supervised Pretext Tasks for Alzheimer's Disease Classification using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging Dataset
  185. LayerMatch: Do Pseudo-labels Benefit All Layers?
  186. Live Video Captioning
  187. Trusting Semantic Segmentation Networks
  188. Temporal Knowledge Graph Question Answering: A Survey
  189. In Tree Structure Should Sentence Be Generated
  190. Failure-Resilient Distributed Inference with Model Compression over Heterogeneous Edge Devices
  191. Latent Functional Maps: a spectral framework for representation alignment
  192. EvSegSNN: Neuromorphic Semantic Segmentation for Event Data
  193. SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation
  194. A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection
  195. Ranking LLMs by compression
  196. Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning
  197. Definition generation for lexical semantic change detection
  198. A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning
  199. Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations
  200. Enhancing multivariate post-processed visibility predictions utilizing CAMS forecasts
  201. Aligning Large Language Models with Diverse Political Viewpoints
  202. Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
  203. Multi-modal Transfer Learning between Biological Foundation Models
  204. QeMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules
  205. Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
  206. Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling
  207. Autonomous Robotic Drilling System for Mice Cranial Window Creation
  208. Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
  209. Detecting sexually explicit content in the context of the child sexual abuse materials (CSAM): end-to-end classifiers and region-based networks
  210. Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
  211. Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach
  212. Prediction and Reference Quality Adaptation for Learned Video Compression
  213. An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
  214. Expander Hierarchies for Normalized Cuts on Graphs
  215. EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models
  216. Efficient Strategy Learning by Decoupling Searching and Pathfinding for Object Navigation
  217. Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology
  218. Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration
  219. Graph Neural Networks for Job Shop Scheduling Problems: A Survey
  220. Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
  221. Seamless Language Expansion: Enhancing Multilingual Mastery in Self-Supervised Models
  222. Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
  223. Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
  224. Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images
  225. Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks
  226. FLoCoRA: Federated learning compression with low-rank adaptation
  227. CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification
  228. EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain
  229. Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
  230. Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits
  231. Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
  232. Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data
  233. Tracking solutions of time-varying variational inequalities
  234. Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields
  235. Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image
  236. LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
  237. Encoder-Decoder Neural Networks in Interpretation of X-ray Spectra
  238. Taxonomy-Guided Zero-Shot Recommendations with LLMs
  239. CryptoGPT: a 7B model rivaling GPT-4 in the task of analyzing and classifying real-time financial news
  240. Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks
  241. Towards Infinite-Long Prefix in Transformer
  242. Ensembles of Probabilistic Regression Trees
  243. How to design a dataset compliant with an ML-based system ODD?
  244. Demystifying Language Model Forgetting with Low-rank Example Associations
  245. Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
  246. HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment
  247. Leveraging eBPF and AI for Ransomware Nose Out
  248. CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics
  249. Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
  250. Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News
  251. Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
  252. Information Guided Regularization for Fine-tuning Language Models
  253. Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
  254. Deep Optimal Experimental Design for Parameter Estimation Problems
  255. "Global is Good, Local is Bad?": Understanding Brand Bias in LLMs
  256. Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing
  257. Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs
  258. Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
  259. Random pairing MLE for estimation of item parameters in Rasch model
  260. LGmap: Local-to-Global Mapping Network for Online Long-Range Vectorized HD Map Construction
  261. Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model
  262. The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
  263. Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
  264. Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
  265. Complex fractal trainability boundary can arise from trivial non-convexity
  266. Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
  267. Causal Inference with Latent Variables: Recent Advances and Future Prospectives
  268. SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis
  269. AutoPal: Autonomous Adaptation to Users for Personal AI Companionship
  270. Research on Flight Accidents Prediction based Back Propagation Neural Network
  271. Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via B'ezier Curve Modelling
  272. AspirinSum: an Aspect-based utility-preserved de-identification Summarization framework
  273. Generalization error of min-norm interpolators in transfer learning
  274. UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture
  275. 2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
  276. Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods
  277. CONMOD: Controllable Neural Frame-based Modulation Effects
  278. ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
  279. Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination
  280. Optimal deep learning of holomorphic operators between Banach spaces
  281. Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
  282. SPL: A Socratic Playground for Learning Powered by Large Language Model
  283. Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
  284. Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking
  285. Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions