mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 20 Feb 2024

316 papers

  1. Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future DirectionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  2. The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM OperativeLLM agents and tool use → Agent threats, guardrails and governance +1
  3. Is the System Message Really Important to Jailbreaks in Large Language Models?LLM safety and security → Jailbreaking
  4. Comparing Inferential Strategies of Humans and Large Language Models in Deductive ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  5. A Dual-Prompting for Interpretable Mental Health Language ModelsMechanistic interpretability → Interpreting biomedical and science models
  6. R3: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL TasksLLM agents and tool use → Web, search, and research agents
  7. CHATATC: Large Language Model-Driven Conversational Agents for Supporting Strategic Air Traffic Flow ManagementLLM agents and tool use → General LLM agent frameworks and benchmarks
  8. Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the TextLLM reasoning → Prompting and chain-of-thought reasoning
  9. Scaling physics-informed hard constraints with mixture-of-expertsMixture-of-experts → MoE theory and gating functions
  10. Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention ControlDiffusion models → Image generation, text-to-image and editing
  11. The Uncanny Valley: A Comprehensive Analysis of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  12. Deep Hedging with Market ImpactDeep reinforcement learning methods → Adversarial robustness and RL in finance
  13. Evolutionary Reinforcement Learning: A Systematic Review and Future DirectionsDeep reinforcement learning methods → RL for games and combinatorial optimization
  14. CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual ExamplesLLM reasoning → Multimodal reasoning
  15. VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic PlanningEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  16. Investigating Cultural Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  17. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositiveLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  18. AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool LearningLLM agents and tool use → Medical and scientific domain agents
  19. How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive PromptsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  20. Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention StrategiesDeep reinforcement learning methods → RL for energy, networks and operations
  21. Soft Self-Consistency Improves Language Model AgentsLLM reasoning → Test-time compute and efficient thinking +1
  22. Bayesian Reward Models for LLM AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  23. Tiny Reinforcement Learning for Quadruped Locomotion using Decision TransformersOffline RL and imitation learning from data → Real-world robot offline RL +1
  24. What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based AgentsLLM agents and tool use → Social simulation and multi-agent debate
  25. DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
  26. Benchmarking Retrieval-Augmented Generation for MedicineRetrieval-augmented generation → Medical and biomedical RAG
  27. Defending Jailbreak Prompts via In-Context Adversarial GameLLM safety and security → Jailbreaking
  28. SPRINQL: Sub-optimal Demonstrations driven Offline Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  29. Neural Network DiffusionDiffusion models → Diffusion foundations and sampling
  30. A Survey on Knowledge Distillation of Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  31. Towards an empirical understanding of MoE design choicesMixture-of-experts → Expert routing strategies
  32. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  33. Text-Guided Molecule Generation with Diffusion Language ModelDiffusion models → Flow matching, time series and science
  34. Align Your Intents: Offline Imitation Learning via Optimal TransportOffline RL and imitation learning from data → Imitation learning methods +1
  35. Learning to Check: Unleashing Potentials for Self-Correction in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  36. Heterogeneous Graph Reasoning for Fact Checking over Texts and TablesLLM reasoning → Reasoning benchmarks and evaluation
  37. SoMeLVLM: A Large Vision Language Model for Social Media ProcessingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  38. Improving Neural-based Classification with Logical Background KnowledgeLLM reasoning → Reasoning benchmarks and evaluation
  39. ChemMiner: A Large Language Model Agent System for Chemical Literature Data MiningLLM agents and tool use → Medical and scientific domain agents
  40. TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box IdentificationLLM safety and security → Jailbreaking
  41. Visual Style Prompting with Swapping Self-AttentionDiffusion models → Image generation, text-to-image and editing
  42. GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trickLLM safety and security → Watermarking generated content and models
  43. Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent SpaceDeep reinforcement learning methods → Deep RL algorithms and representations
  44. Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERTLLM safety and security → Backdoor and data poisoning attacks
  45. CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  46. Large Language Model-based Human-Agent Collaboration for Complex Task SolvingLLM agents and tool use → General LLM agent frameworks and benchmarks
  47. RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  48. TEXT2AFFORD: Probing Object Affordance Prediction abilities of Language Models solely from TextMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  49. Chain of Thought Empowers Transformers to Solve Inherently Serial ProblemsLLM reasoning → Prompting and chain-of-thought reasoning
  50. Skill or Luck? Return Decomposition via Advantage FunctionsDeep reinforcement learning methods → RL theory and sample complexity
  51. From Mean to Extreme: Formal Differential Privacy Bounds on the Success of Real-World Data Reconstruction AttacksLLM safety and security → Membership inference attacks
  52. MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language ModelsMixture-of-experts → Mixture of LoRA experts
  53. MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic SpacesOffline RL and imitation learning from data → Decision transformers and sequence modeling
  54. PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt TuningKnowledge distillation → Knowledge distillation for LLMs
  55. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicLLM reasoning → Reasoning benchmarks and evaluation
  56. SymBa: Symbolic Backward Chaining for Structured Natural Language ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  57. Two-stage Rainfall-Forecasting Diffusion ModelDiffusion models → Flow matching, time series and science
  58. Model Composition for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  59. MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object DiffusionDiffusion models → Image generation, text-to-image and editing +1
  60. Diffusion Posterior Sampling is Computationally IntractableDiffusion models → Inverse problems and image restoration
  61. MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object ReconstructionDiffusion models → 3D, point cloud and scene generation
  62. Uniform Last-Iterate Guarantee for Bandits and Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  63. FormulaReasoning: A Dataset for Formula-Based Numerical ReasoningLLM reasoning → Spatial and embodied reasoning
  64. XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning TechniquesDeep reinforcement learning methods → Interpretable and logic-guided RL
  65. Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition ApproachLLM reasoning → Multimodal reasoning
  66. Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated PoliciesDeep reinforcement learning methods → Adversarial robustness and RL in finance
  67. Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin FrameworkEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  68. Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  69. Antifragile perimeter control: Thriving on disruptions through reinforcement learningDeep reinforcement learning methods → RL for autonomous driving and traffic
  70. SingVisio: Visual Analytics of Diffusion Model for Singing Voice ConversionDiffusion models → Audio, speech and music
  71. HyperMoE: Towards Better Mixture of Experts via Transferring Among ExpertsMixture-of-experts → MoE large language models
  72. Indiscriminate Data Poisoning Attacks on Pre-trained Feature ExtractorsLLM safety and security → Backdoor and data poisoning attacks
  73. Patent Value Characterization -- An Empirical Analysis of Elevator Industry Patents
  74. Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials
  75. Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras
  76. Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
  77. Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
  78. On Defining Smart Cities using Transformer Neural Networks
  79. Personalized Programming Guidance based on Deep Programming Learning Style Capturing
  80. Thermometer: Towards Universal Calibration for Large Language Models
  81. OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning
  82. SDXL Finetuned with LoRA for Coloring Therapy: Generating Graphic Templates Inspired by United Arab Emirates Culture
  83. Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
  84. PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care
  85. WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database
  86. Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models
  87. ChatEL: Entity Linking with Chatbots
  88. An LLM Maturity Model for Reliable and Transparent Text-to-Query
  89. NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
  90. HumanEval on Latest GPT Models -- 2024
  91. Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance
  92. Partially Frozen Random Networks Contain Compact Strong Lottery Tickets
  93. DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
  94. LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
  95. Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
  96. Quantitative causality, causality-guided scientific discovery, and causal machine learning
  97. Explaining Relationships Among Research Papers
  98. Investigating the Histogram Loss in Regression
  99. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
  100. Reward Bound for Behavioral Guarantee of Model-based Planning Agents
All 316
  1. Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding
  2. Harnessing Large Language Models as Post-hoc Correctors
  3. Bayesian Neural Networks with Domain Knowledge Priors
  4. Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation
  5. A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
  6. Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities
  7. The Dimension of Self-Directed Learning
  8. Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games
  9. Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join
  10. Fairness Risks for Group-conditionally Missing Demographics
  11. Transformer tricks: Precomputing the first layer
  12. Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers
  13. Referee-Meta-Learning for Fast Adaptation of Locational Fairness
  14. Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
  15. EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries
  16. FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
  17. Unsupervised Concept Discovery Mitigates Spurious Correlations
  18. Statistical curriculum learning: An elimination algorithm achieving an oracle risk
  19. A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
  20. Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer
  21. KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
  22. PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods
  23. Aria Everyday Activities Dataset
  24. Incentivized Exploration via Filtered Posterior Sampling
  25. Causal hybrid modeling with double machine learning
  26. Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
  27. Rigor with Machine Learning from Field Theory to the Poincar'e Conjecture
  28. Vision System Prototype for Inspection and Monitoring with a Smart Camera
  29. Harmful algal bloom forecasting. A comparison between stream and batch learning
  30. Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources
  31. Structure-informed Positional Encoding for Music Generation
  32. Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
  33. How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
  34. BiMediX: Bilingual Medical Mixture of Experts LLM
  35. Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields
  36. FlashTex: Fast Relightable Mesh Texturing with LightControlNet
  37. Video ReCap: Recursive Captioning of Hour-Long Videos
  38. TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
  39. Federated Causal Discovery from Heterogeneous Data
  40. Unlocking Insights: Semantic Search in Jupyter Notebooks
  41. SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
  42. A Touch, Vision, and Language Dataset for Multimodal Alignment
  43. NeRF Solves Undersampled MRI Reconstruction
  44. Controlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming
  45. RoCode: A Dataset for Measuring Code Intelligence from Problem Definitions in Romanian
  46. CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
  47. VideoPrism: A Foundational Visual Encoder for Video Understanding
  48. Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
  49. Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
  50. How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena
  51. SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
  52. Practical Kernel Tests of Conditional Independence
  53. Design and Flight Demonstration of a Quadrotor for Urban Mapping and Target Tracking Research
  54. Question Calibration and Multi-Hop Modeling for Temporal Question Answering
  55. Testing Calibration in Nearly-Linear Time
  56. UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing
  57. Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
  58. 3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data
  59. AnnoTheia: A Semi-Automatic Annotation Toolkit for Audio-Visual Speech Technologies
  60. OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog
  61. CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation
  62. The Hidden Space of Transformer Language Adapters
  63. exploreCOSMOS: Interactive Exploration of Conditional Statistical Shape Models in the Web-Browser
  64. Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
  65. VGMShield: Mitigating Misuse of Video Generative Models
  66. TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning
  67. Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model
  68. BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
  69. When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality
  70. CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
  71. On the Convergence of Gradient Descent for Large Learning Rates
  72. On Generalization Bounds for Deep Compound Gaussian Neural Networks
  73. Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
  74. A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
  75. ELAD: Explanation-Guided Large Language Models Active Distillation
  76. Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities
  77. Event-level Knowledge Editing
  78. Slot-VLM: SlowFast Slots for Video-Language Modeling
  79. Revisiting Differentially Private Hyper-parameter Tuning
  80. IT Intrusion Detection Using Statistical Learning and Testbed Measurements
  81. Mode Estimation with Partial Feedback
  82. Mechanistic Neural Networks for Scientific Machine Learning
  83. Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions
  84. Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space
  85. Random Graph Set and Evidence Pattern Reasoning Model
  86. Identifying Semantic Induction Heads to Understand In-Context Learning
  87. Stable Knowledge Editing in Large Language Models
  88. Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries
  89. SiLLM: Large Language Models for Simultaneous Machine Translation
  90. Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation
  91. CFEVER: A Chinese Fact Extraction and VERification Dataset
  92. Understanding the effects of language-specific class imbalance in multilingual fine-tuning
  93. Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
  94. Improve Cross-Architecture Generalization on Dataset Distillation
  95. Investigating the Impact of Model Instability on Explanations and Uncertainty
  96. SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
  97. Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech Recognition
  98. A unifying primary framework for quantum graph neural networks from quantum graph states
  99. Phonotactic Complexity across Dialects
  100. Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
  101. Towards Robust Graph Incremental Learning on Evolving Graphs
  102. Can GNN be Good Adapter for LLMs?
  103. Efficient adjustment for complex covariates: Gaining efficiency with DOPE
  104. The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
  105. Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics
  106. Gl'orIA -- A Generative and Open Large Language Model for Portuguese
  107. MapTrack: Tracking in the Map
  108. Prompt Stealing Attacks Against Large Language Models
  109. Conditional Logical Message Passing Transformer for Complex Query Answering
  110. QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
  111. Cell Graph Transformer for Nuclei Classification
  112. Federated Learning: A Stochastic Approximation Approach
  113. Normalized Orthography for Tunisian Arabic
  114. UniCell: Universal Cell Nucleus Classification via Prompt Learning
  115. GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks
  116. Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence
  117. A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
  118. Advancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey
  119. Right on Time: Revising Time Series Models by Constraining their Explanations
  120. Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models
  121. OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data
  122. Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
  123. Mind the Exit Pupil Gap: Revisiting the Intrinsics of a Standard Plenoptic Camera
  124. More Discriminative Sentence Embeddings via Semantic Graph Smoothing
  125. The practice of qualitative parameterisation in the development of Bayesian networks
  126. A Bound on the Maximal Marginal Degrees of Freedom
  127. Autism Detection in Speech -- A Survey
  128. Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
  129. Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
  130. Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
  131. Towards MLOps: A DevOps Tools Recommender System for Machine Learning System
  132. Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
  133. Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation
  134. Differentiable Mapper For Topological Optimization Of Data Representation
  135. CCFC++: Enhancing Federated Clustering through Feature Decorrelation
  136. Instruction-tuned Language Models are Better Knowledge Learners
  137. ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
  138. ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
  139. Solar Panel Segmentation :Self-Supervised Learning Solutions for Imperfect Datasets
  140. PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
  141. Tracking the Median of Gradients with a Stochastic Proximal Point Method
  142. Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy
  143. Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
  144. On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
  145. Scalable Decentralized Algorithms for Online Personalized Mean Estimation
  146. PIP-Net: Pedestrian Intention Prediction in the Wild
  147. Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes
  148. Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
  149. Radar-Based Recognition of Static Hand Gestures in American Sign Language
  150. A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation
  151. Autonomous Reality Modelling for Cultural Heritage Sites employing cooperative quadrupedal robots and unmanned aerial vehicles
  152. OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow
  153. From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
  154. Fairness Without Harm: An Influence-Guided Active Sampling Approach
  155. RhythmFormer: Extracting Patterned rPPG Signals based on Periodic Sparse Attention
  156. Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
  157. Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems
  158. Advancing GenAI Assisted Programming--A Comparative Study on Prompt Efficiency and Code Quality Between GPT-4 and GLM-4
  159. Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
  160. Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue
  161. Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
  162. GOOD: Towards Domain Generalized Orientated Object Detection
  163. BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization
  164. Learning under Singularity: An Information Criterion improving WBIC and sBIC
  165. FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework
  166. A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
  167. Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective
  168. Fingerprint Presentation Attack Detector Using Global-Local Model
  169. Me LLaMA: Foundation Large Language Models for Medical Applications
  170. APT-MMF: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion
  171. Can Large Language Models be Used to Provide Psychological Counselling? An Analysis of GPT-4-Generated Responses Using Role-play Dialogues
  172. Guarantee Regions for Local Explanations
  173. CST: Calibration Side-Tuning for Parameter and Memory Efficient Transfer Learning
  174. Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference
  175. BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
  176. UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translation
  177. Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
  178. Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
  179. Structural Knowledge Informed Continual Multivariate Time Series Forecasting
  180. PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
  181. Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
  182. The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
  183. An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning
  184. Are LLMs Rational Investors? A Study on Detecting and Reducing the Financial Bias in LLMs
  185. Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
  186. Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
  187. Quantum Embedding with Transformer for High-dimensional Data
  188. From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
  189. wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T
  190. Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
  191. Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision
  192. Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation
  193. Learning on manifolds without manifold learning
  194. TorchCP: A Python Library for Conformal Prediction
  195. Object-level Geometric Structure Preserving for Natural Image Stitching
  196. Advancing Monocular Video-Based Gait Analysis Using Motion Imitation with Physics-Based Simulation
  197. Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests
  198. Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
  199. SoftQE: Learned Representations of Queries Expanded by LLMs
  200. FinBen: A Holistic Financial Benchmark for Large Language Models
  201. OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification
  202. Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
  203. DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation
  204. Training Artificial Neural Networks by Coordinate Search Algorithm
  205. Neuromorphic Synergy for Video Binarization
  206. YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection
  207. StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing
  208. FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML
  209. A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
  210. Compact NSGA-II for Multi-objective Feature Selection
  211. Efficient Parameter Mining and Freezing for Continual Object Detection
  212. Reflect-RL: Two-Player Online RL Fine-Tuning for LMs
  213. Generative AI Security: Challenges and Countermeasures
  214. Multi-objective Binary Coordinate Search for Feature Selection
  215. Analysis of Using Sigmoid Loss for Contrastive Learning
  216. Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications