mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 25 Jun 2024

330 papers

  1. Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the EdgeKnowledge distillation → General knowledge distillation methods
  2. CharED: Character-wise Ensemble Decoding for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  3. RAGBench: Explainable Benchmark for Retrieval-Augmented Generation SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
  4. MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender BiasDiffusion models → Image generation, text-to-image and editing +1
  5. Discrete Diffusion Language Model for Efficient Text SummarizationDiffusion models → Discrete and text diffusion
  6. Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-ChangingDeep reinforcement learning methods → RL for autonomous driving and traffic
  7. MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic ForgettingMixture-of-experts → MoE large language models
  8. ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI FeedbackLLM reasoning → Reinforcement learning for reasoning +2
  9. SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)LLM safety and security → Membership inference attacks
  10. Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and PromptsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  11. Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation ApproachKnowledge distillation → General knowledge distillation methods
  12. Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent FrameworkLLM agents and tool use → Social simulation and multi-agent debate
  13. NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data NormalizationLLM reasoning → Knowledge- and tool-augmented reasoning
  14. MAGIC: Meta-Ability Guided Interactive Chain-of-Distillation for Effective-and-Efficient Vision-and-Language NavigationKnowledge distillation → Multimodal distillation
  15. The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment DesignDeep reinforcement learning methods → RL training of language and agent models
  16. PAFT: A Parallel Training Paradigm for Effective LLM Fine-TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  17. Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
  18. Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic FeedbackLLM reasoning → Mathematical reasoning
  19. InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge DistillationKnowledge distillation → Multimodal distillation
  20. SUM: Saliency Unification through Mamba for Visual Attention ModelingState-space sequence models (S4, Mamba) → Vision Mamba backbones
  21. MG-LLaVA: Towards Multi-Granularity Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline DataDeep reinforcement learning methods → RL for robot locomotion and manipulation
  23. DiffusionPDE: Generative PDE-Solving Under Partial ObservationDiffusion models → Flow matching, time series and science
  24. Interpreting Attention Layer Outputs with Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
  25. Automatic Parameter Tuning of Self-Driving VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  26. When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  27. A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in VietnameseMixture-of-experts → MoE large language models
  28. From Distributional to Overton Pluralism: Investigating Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  29. Unified Auto-Encoding with Masked DiffusionDiffusion models → Diffusion foundations and sampling
  30. End-to-End Autonomous Driving without Costly Modularization and 3D Manual AnnotationEnd-to-end autonomous driving → End-to-end system architecture
  31. LLM-ARC: Enhancing LLMs with an Automated Reasoning CriticLLM reasoning → Reasoning benchmarks and evaluation
  32. DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World PlanningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  33. Privacy Preserving Reinforcement Learning for Population ProcessesDeep reinforcement learning methods → RL for energy, networks and operations
  34. Banishing LLM Hallucinations Requires Rethinking GeneralizationLLM reasoning → Hallucination detection and mitigation
  35. Aligning Diffusion Models with Noise-Conditioned PerceptionDiffusion models → Diffusion and flow policies for robotics +1
  36. Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training LabelsKnowledge distillation → Knowledge distillation for LLMs
  37. CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue CoreferenceLLM safety and security → Safety alignment, refusal and guardrails
  38. Diffusion-based Adversarial Purification for Intrusion DetectionDiffusion models → Robustness, privacy and adversarial aspects
  39. Director3D: Real-world Camera Trajectory and 3D Scene Generation from TextDiffusion models → 3D, point cloud and scene generation
  40. Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack SimulationsLLM safety and security → Prompt injection and agent security +1
  41. MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory PoolEfficient LLM inference and serving → Serving systems and request scheduling
  42. Multi-property Steering of Large Language Models with Dynamic Activation CompositionMechanistic interpretability → Activation steering methods
  43. Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on MinecraftRetrieval-augmented generation → RAG for code
  44. Detection of Synthetic Face Images: Accuracy, Robustness, GeneralizationDiffusion models → Image generation, text-to-image and editing
  45. Principal Component Clustering for Semantic Segmentation in Synthetic Data GenerationDiffusion models → Medical imaging and segmentation
  46. Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression RecognitionKnowledge distillation → Multimodal distillation
  47. On the consistency of hyper-parameter selection in value-based deep reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
  48. Tell Me Where You Are: Multimodal LLMs Meet Place RecognitionLLM reasoning → Spatial and embodied reasoning +1
  49. Entropy-Based Decoding for Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration
  50. Preserving Node Distinctness in Graph Autoencoders via Similarity DistillationKnowledge distillation → Graph neural network distillation
  51. BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGODeep reinforcement learning methods → RL for robot locomotion and manipulation
  52. EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  53. Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information GainLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  54. Pamba: Enhancing Global Interaction in Point Clouds via State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  55. Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and InsightsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  56. Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy TrainingEfficient LLM inference and serving → Speculative decoding
  57. GradCheck: Analyzing classifier guidance gradients for conditional diffusion samplingDiffusion models → Diffusion foundations and sampling
  58. SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene EditingDiffusion models → 3D, point cloud and scene generation
  59. Q-DiT: Accurate Post-Training Quantization for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  60. Generative Modelling of Structurally Constrained GraphsDiffusion models → Flow matching, time series and science
  61. Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  62. Dual-Space Knowledge Distillation for Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  63. Retrieval Augmented Instruction Tuning for Open NER with Large Language ModelsRetrieval-augmented generation → Generation and context integration
  64. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +2
  65. Securing Voice Authentication Applications Against Targeted Data PoisoningLLM safety and security → Audio jailbreaks and speech backdoors
  66. OPT-Tree: Speculative Decoding with Adaptive Draft Tree StructureEfficient LLM inference and serving → Speculative decoding
  67. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphLLM reasoning → Reasoning benchmarks and evaluation
  68. D2LLM: Decomposed and Distilled Large Language Models for Semantic SearchKnowledge distillation → Knowledge distillation for LLMs
  69. LIPE: Learning Personalized Identity Prior for Non-rigid Image EditingDiffusion models → Image generation, text-to-image and editing
  70. Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief NetworksLLM agents and tool use → Social simulation and multi-agent debate
  71. Machine Unlearning Fails to Remove Data Poisoning AttacksLLM safety and security → Machine unlearning
  72. Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
  73. Vision Controlled Sensorized Prosthetic Hand
  74. Dark Transformer: A Video Transformer for Action Recognition in the Dark
  75. Specific language impairment (SLI) detection pipeline from transcriptions of spontaneous narratives
  76. Figuring out Figures: Using Textual References to Caption Scientific Figures
  77. Panacea: A foundation model for clinical trial search, summarization, design, and recruitment
  78. Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making
  79. The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators
  80. Using Large Language Models in Public Transit Systems, San Antonio as a case study
  81. Generative AI Systems: A Systems-based Perspective on Generative AI
  82. Autonomous Prompt Engineering in Large Language Models
  83. TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shot
  84. Video Occupancy Models
  85. UAV Networks Surveillance Implementing an Effective Load-Aware Multipath Routing Protocol (ELAMRP)
  86. Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention
  87. Towards LLM-Powered Ambient Sensor Based Multi-Person Human Activity Recognition
  88. Maze Discovery using Multiple Robots via Federated Learning
  89. Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness
  90. The Balanced-Pairwise-Affinities Feature Transform
  91. Learning to Rank for Maps at Airbnb
  92. T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
  93. Improving Execution Concurrency in Partial-Order Plans via Block-Substitution
  94. Inducing Riesz and orthonormal bases in L2 via composition operators
  95. Optimal spanning tree reconstruction in symbolic regression
  96. Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
  97. EDEN: Empathetic Dialogues for English learning
  98. LABOR-LLM: Language-Based Occupational Representations with Large Language Models
  99. Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
  100. Efficient Document Ranking with Learnable Late Interactions
All 330
  1. Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets
  2. Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories
  3. Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment
  4. Why Line Search when you can Plane Search? SO-Friendly Neural Networks allow Per-Iteration Optimization of Learning and Momentum Rates for Every Layer
  5. LINSCAN -- A Linearity Based Clustering Algorithm
  6. Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks
  7. Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
  8. Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation
  9. Sequential Editing for Lifelong Training of Speech Recognition Models
  10. CAT: Interpretable Concept-based Taylor Additive Models
  11. FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data
  12. GraphSnapShot: Caching Local Structure for Fast Graph Learning
  13. Camera Model Identification Using Audio and Visual Content from Videos
  14. Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation: A real-world dataset evaluation
  15. X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
  16. Transforming Software Development: Evaluating the Efficiency and Challenges of GitHub Copilot in Real-World Projects
  17. DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset
  18. Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions
  19. Application of Liquid Rank Reputation System for Twitter Trend Analysis on Bitcoin
  20. Mapping the Past: Geographically Linking an Early 20th Century Swedish Encyclopedia with Wikidata
  21. Script-Agnostic Language Identification
  22. Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
  23. Human-centered In-building Embodied Delivery Benchmark
  24. Efficient and Effective Implicit Dynamic Graph Neural Network
  25. SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
  26. CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design
  27. Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
  28. Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction
  29. MLLM as Video Narrator: Mitigating Modality Imbalance in Video Moment Retrieval
  30. ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
  31. Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks
  32. Burst Image Super-Resolution with Base Frame Selection
  33. AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies
  34. What type of inference is planning?
  35. Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
  36. Probing many-body Bell correlation depth with superconducting qubits
  37. Human-Object Interaction from Human-Level Instructions
  38. Transformer Normalisation Layers and the Independence of Semantic Subspaces
  39. A Moonshot for AI Oracles in the Sciences
  40. The Use of AI-Robotic Systems for Scientific Discovery
  41. Univariate Skeleton Prediction in Multivariate Systems Using Transformers
  42. Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference
  43. Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
  44. Extreme Learning Machines for Fast Training of Click-Through Rate Prediction Models
  45. European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry
  46. Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet
  47. AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field
  48. Automatically Adaptive Conformal Risk Control
  49. Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks
  50. Towards Hypermedia Environments for Adaptive Coordination in Industrial Automation
  51. Distribution Learnability and Robustness
  52. Text-Animator: Controllable Visual Text Video Generation
  53. Uncertainty for SVBRDF Acquisition using Frequency Analysis
  54. BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
  55. Solving Hard Mizar Problems with Instantiation and Strategy Invention
  56. CaLMQA: Exploring culturally specific long-form question answering across 23 languages
  57. MotionBooth: Motion-Aware Customized Text-to-Video Generation
  58. Accelerating Clinical Evidence Synthesis with Large Language Models
  59. Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
  60. Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation
  61. A New Perspective on Shampoo's Preconditioner
  62. Probing the effects of broken symmetries in machine learning
  63. Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
  64. Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
  65. Following Length Constraints in Instructions
  66. Point-SAM: Promptable 3D Segmentation Model for Point Clouds
  67. Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
  68. Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model
  69. LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
  70. BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
  71. Compositional Models for Estimating Causal Effects
  72. Data curation via joint example selection further accelerates multimodal learning
  73. MGA-Net: A Novel Mask-Guided Attention Neural Network for Precision Neonatal Brain Imaging
  74. SurgeMOD: Translating image-space tissue motions into vision-based surgical forces
  75. FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
  76. Variance Reduction for Independent Metropolis
  77. Identifying Nonstationary Causal Structures with High-Order Markov Switching Models
  78. HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction
  79. VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation
  80. Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation
  81. Evaluating Large Language Models with Psychometrics
  82. LaTable: Towards Large Tabular Models
  83. Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
  84. This Paper Had the Smartest Reviewers -- Flattery Detection Utilising an Audio-Textual Transformer-Based Approach
  85. Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
  86. MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection
  87. Time-varying Extremum Graphs
  88. Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets
  89. ELIZA Reinterpreted: The world's first chatbot was not intended as a chatbot at all
  90. Variationist: Exploring Multifaceted Variation and Bias in Written Language Data
  91. BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging
  92. Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP
  93. KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
  94. Video Inpainting Localization with Contrastive Learning
  95. Querying Labeled Time Series Data with Scenario Programs
  96. Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models
  97. Towards Building an End-to-End Multilingual Automatic Lyrics Transcription Model
  98. Embedded event based object detection with spiking neural network
  99. Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization
  100. MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization
  101. Distributed Training of Large Graph Neural Networks with Variable Communication Rates
  102. Test-time generative augmentation for medical image segmentation
  103. "Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
  104. Constructing structured tensor priors for Bayesian inverse problems
  105. DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation
  106. LongIns: A Challenging Long-context Instruction-based Exam for LLMs
  107. Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons
  108. Towards Compositional Interpretability for XAI
  109. Advancing Cell Detection in Anterior Segment Optical Coherence Tomography Images
  110. Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
  111. Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats
  112. Causal Responder Detection
  113. FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts
  114. Minimal Interaction Separated Tuning: A New Paradigm for Visual Adaptation
  115. The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
  116. Modularity Based Community Detection in Hypergraphs
  117. CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
  118. SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
  119. MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
  120. Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark
  121. Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification
  122. Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
  123. Enhancing LLM-Based Human-Robot Interaction with Nuances for Diversity Awareness
  124. Point Tree Transformer for Point Cloud Registration
  125. LumberChunker: Long-Form Narrative Document Segmentation
  126. Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
  127. Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models
  128. WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
  129. MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
  130. TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision
  131. Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
  132. Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
  133. Transformer-based Named Entity Recognition with Combined Data Representation
  134. TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification
  135. UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment
  136. Medical Image Segmentation Using Directional Window Attention
  137. Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
  138. Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal
  139. Early learning of the optimal constant solution in neural networks and humans
  140. Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
  141. Investigating Self-Supervised Methods for Label-Efficient Learning
  142. Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration
  143. Improving Grammatical Error Correction via Contextual Data Augmentation
  144. Pseudo Labelling for Enhanced Masked Autoencoders
  145. Using joint angles based on the international biomechanical standards for human action recognition and related tasks
  146. A Matrix Product State Model for Simultaneous Classification and Generation
  147. Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
  148. Advancing Question Answering on Handwritten Documents: A State-of-the-Art Recognition-Based Model for HW-SQuAD
  149. Mind the Graph When Balancing Data for Fairness or Robustness
  150. A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine
  151. CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems
  152. Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT
  153. Real-Time Remote Control via VR over Limited Wireless Connectivity
  154. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  155. SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation
  156. Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
  157. Consensus Learning with Deep Sets for Essential Matrix Estimation
  158. Depth-Guided Semi-Supervised Instance Segmentation
  159. Less can be more: representational vs. stereotypical gender bias in facial expression recognition
  160. Double Momentum Method for Lower-Level Constrained Bilevel Optimization
  161. Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
  162. Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods
  163. Retrospective Feature Estimation for Continual Learning
  164. A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
  165. A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs
  166. Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection
  167. An Empirical Study on the Characteristics of Bias upon Context Length Variation for Bangla
  168. Generalizability of experimental studies
  169. Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation
  170. Tree-based variational inference for Poisson log-normal models
  171. Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars
  172. Semantic Deep Hiding for Robust Unlearnable Examples
  173. Stacked Confusion Reject Plots (SCORE)
  174. NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods
  175. Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds
  176. Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
  177. A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
  178. The State-Action-Reward-State-Action Algorithm in Spatial Prisoner's Dilemma Game
  179. Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy
  180. XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images
  181. ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
  182. DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer
  183. A review of unsupervised learning in astronomy
  184. Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning
  185. Zero-Shot Long-Form Video Understanding through Screenplay
  186. Improving Realized LGD Approximation: A Novel Framework with XGBoost for Handling Missing Cash-Flow Data
  187. Leveraging LLMs for Dialogue Quality Measurement
  188. CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems
  189. Efficient and Scalable Implementation of Differentially Private Deep Learning without Shortcuts
  190. Towards Camera Open-set 3D Object Detection for Autonomous Driving Scenarios
  191. BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
  192. Less can be more for predicting properties with large language models
  193. Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
  194. Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models
  195. EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction
  196. A Recursive Encoding for Cuneiform Signs
  197. SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries
  198. Efficient Graph Optimization via Distance-Aware Graph Representation Learning
  199. Learning Decentralized Multi-Biped Control for Payload Transport
  200. Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
  201. A Comprehensive Solution to Connect Speech Encoder and Large Language Model for ASR
  202. AG-LSEC: Audio Grounded Lexical Speaker Error Correction
  203. Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving
  204. Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
  205. TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
  206. Mitigating Hallucination in Fictional Character Role-Play
  207. Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation
  208. Disentangled Motion Modeling for Video Frame Interpolation
  209. MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning
  210. Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
  211. How Well Can Knowledge Edit Methods Edit Perplexing Knowledge?
  212. TopoGCL: Topological Graph Contrastive Learning
  213. A benchmark for 2D foetal brain ultrasound analysis
  214. Beyond Silence: Bias Analysis through Loss and Asymmetric Approach in Audio Anti-Spoofing
  215. Unlocking Continual Learning Abilities in Language Models
  216. Understanding Language Model Circuits through Knowledge Editing
  217. Generative Expansion of Small Datasets: An Expansive Graph Approach
  218. Task-Agnostic Federated Learning
  219. Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
  220. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
  221. Self-Supervised Embeddings for Detecting Individual Symptoms of Depression
  222. Greedy equivalence search for nonparametric graphical models
  223. Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
  224. Large Language Models are Interpretable Learners
  225. Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
  226. Enabling Large Language Models to Perform Power System Simulations with Previously Unseen Tools: A Case of Daline
  227. Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
  228. Contrastive General Graph Matching with Adaptive Augmentation Sampling
  229. Sound Tagging in Infant-centric Home Soundscapes
  230. Geometric Median (GM) Matching for Robust Data Pruning