mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 23 Jul 2024

283 papers

  1. Closing the Affective Loop via Experience-Driven Reinforcement Learning DesignersDeep reinforcement learning methods → RL training of language and agent models
  2. ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End EfficiencyEfficient LLM inference and serving → Serving systems and request scheduling
  3. Prompt Injection Attacks on Large Language Models in OncologyLLM safety and security → Safety alignment, refusal and guardrails
  4. SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety GuaranteesEnd-to-end autonomous driving → Reinforcement learning for driving
  5. Adapting Image-based RL Policies via Predicted RewardsDeep reinforcement learning methods → RL with diffusion and flow models
  6. MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMsLLM reasoning → Multimodal reasoning +1
  7. Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid ApproachRetrieval-augmented generation → RAG pipeline design and evaluation
  8. In Search for Architectures and Loss Functions in Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  9. VisMin: Visual Minimal-Change UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  10. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsLLM agents and tool use → Software engineering coding agents
  11. PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous VehiclesEnd-to-end autonomous driving → End-to-end system architecture
  12. PyBench: Evaluating LLM Agent on various real-world coding tasksLLM agents and tool use → Software engineering coding agents
  13. Category-Extensible Out-of-Distribution Detection via Hierarchical Context DescriptionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  14. Diffusion Models for Monocular Depth Estimation: Overcoming Challenging ConditionsDiffusion models → 3D, point cloud and scene generation
  15. Can Large Language Models Automatically Jailbreak GPT-4V?LLM safety and security → Jailbreaking
  16. RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language AgentLLM agents and tool use → Agent threats, guardrails and governance +1
  17. MovieDreamer: Hierarchical Generation for Coherent Long Visual SequenceDiffusion models → Video generation
  18. Course-Correction: Safety Alignment Using Synthetic PreferencesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  19. Functional Acceleration for Policy Mirror DescentDeep reinforcement learning methods → RL theory and sample complexity
  20. TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human FeedbackLLM reasoning → Reinforcement learning for reasoning +2
  21. MicroEmo: Time-Sensitive Multimodal Emotion Recognition with Micro-Expression Dynamics in Video DialoguesMultimodal LLMs / vision-language models → Multimodal emotion understanding
  22. Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  23. DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  24. qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic ModelDiffusion models → Medical imaging and segmentation
  25. MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionDiffusion models → Image generation, text-to-image and editing
  26. On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
  27. Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the FieldDeep reinforcement learning methods → RL training of language and agent models
  28. PrimeGuard: Safe and Helpful LLMs through Tuning-Free RoutingLLM safety and security → Safety alignment, refusal and guardrails
  29. Optimizing Robotic Manipulation with Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  30. DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  31. LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal ConsultationLLM agents and tool use → Social simulation and multi-agent debate
  32. ODGR: Online Dynamic Goal RecognitionDeep reinforcement learning methods → Deep RL algorithms and representations
  33. Reinforcement Learning for LLM Post-Training: A SurveyLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  34. Diff-Shadow: Global-guided Diffusion Model for Shadow RemovalDiffusion models → 3D, point cloud and scene generation
  35. Graph-Structured Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  36. Reasoning as a Weapon: Adaptive Dual-Path Jailbreak Attack on Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  37. INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  38. CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationDiffusion models → 3D, point cloud and scene generation
  39. No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot SegmentationDiffusion models → Medical imaging and segmentation
  40. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  41. Diffusion Models as Optimizers for Efficient Planning in Offline RLDiffusion models → Diffusion and flow policies for robotics +1
  42. Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process DataDiffusion models → Diffusion foundations and sampling
  43. MxT: Mamba x Transformer for Image InpaintingState-space sequence models (S4, Mamba) → Vision Mamba backbones
  44. Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsDiffusion models → Inverse problems and image restoration
  45. Reinforcement Learning Pair Trading: A Dynamic Scaling approachDeep reinforcement learning methods → Adversarial robustness and RL in finance
  46. Automated Schizophrenia Detection from Handwriting Samples via Transfer Learning Convolutional Neural Networks
  47. Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
  48. Physics-Informed Weakly Supervised Learning for Interatomic Potentials
  49. HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI
  50. Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction
  51. AI Act for the Working Programmer
  52. Estimating Environmental Cost Throughout Model's Adaptive Life Cycle
  53. MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation
  54. A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends
  55. Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering
  56. Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction
  57. An Active Inference Strategy for Prompting Reliable Responses from Large Language Models in Medical Practice
  58. Cross-Institutional Dental EHR Entity Extraction via Generative AI and Synthetic Notes
  59. Evaluating Long Range Dependency Handling in Code Generation LLMs
  60. APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
  61. Causal Understanding For Video Question Answering
  62. Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
  63. Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection
  64. S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
  65. Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates
  66. Generation Constraint Scaling Can Mitigate Hallucination
  67. Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario
  68. PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery
  69. Vision-Based Adaptive Robotics for Autonomous Surface Crack Repair
  70. How Can Deep Neural Networks Fail Even With Global Optima?
  71. Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations
  72. From Text to Insight: Large Language Models for Materials Science Data Extraction
  73. Balanced Multi-Relational Graph Clustering
  74. textitBenchIEFL : A Manually Re-Annotated Fact-Based Open Information Extraction Benchmark
  75. SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention
  76. Synth4Kws: Synthesized Speech for User Defined Keyword Spotting in Low Resource Environments
  77. A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction
  78. Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design
  79. PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer
  80. Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
  81. SINDER: Repairing the Singular Defects of DINOv2
  82. Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the 7-Point Checklist
  83. Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges
  84. C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
  85. Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
  86. Wasserstein Distributionally Robust Shallow Convex Neural Networks
  87. What Matters in Range View 3D Object Detection
  88. Occlusion-Aware 3D Motion Interpretation for Abnormal Behavior Detection
  89. PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch
  90. The Hybrid Forecast of S&P 500 Volatility ensembled from VIX, GARCH and LSTM models
  91. A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' Navigation
  92. Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals
  93. Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series
  94. A Survey of Text Style Transfer: Applications and Ethical Implications
  95. Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory
  96. Conformally Natural Families of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep Learning
  97. PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
  98. Distributed Difference of Convex Optimization
  99. A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms
  100. Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift
All 283
  1. Structure-aware Domain Knowledge Injection for Large Language Models
  2. Interval Forecasts for Gas Prices in the Face of Structural Breaks -- Statistical Models vs. Neural Networks
  3. Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data
  4. Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience
  5. Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
  6. Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation
  7. AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking
  8. PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects
  9. Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
  10. Explanation Regularisation through the Lens of Attributions
  11. Automatic Equalization for Individual Instrument Tracks Using Convolutional Neural Networks
  12. AutoRG-Brain: Grounded Report Generation for Brain MRI
  13. SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
  14. A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
  15. From Imitation to Refinement -- Residual RL for Precise Assembly
  16. KAN or MLP: A Fairer Comparison
  17. FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process
  18. A Framework for Pupil Tracking with Event Cameras
  19. Towards scalable efficient on-device ASR with transfer learning
  20. Computable learning of natural hypothesis classes
  21. EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval
  22. Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models
  23. Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving
  24. Global Minima by Penalized Full-dimensional Scaling
  25. Synthesizer Sound Matching Using Audio Spectrogram Transformers
  26. Sharp bounds on aggregate expert error
  27. A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
  28. Unveiling and Mitigating Bias in Audio Visual Segmentation
  29. Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles
  30. Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses
  31. Semantic Change Characterization with LLMs using Rhetorics
  32. Inverse Particle Filter
  33. Implementing engrams from a machine learning perspective: the relevance of a latent space
  34. Lawma: The Power of Specialization for Legal Annotation
  35. No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots
  36. Local vs Global continual learning
  37. Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging
  38. Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
  39. Learning to Play Foosball: System and Baselines
  40. Shared Imagination: LLMs Hallucinate Alike
  41. DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene
  42. Flexible Generation of Preference Data for Recommendation Analysis
  43. A Comparative Study on Patient Language across Therapeutic Domains for Effective Patient Voice Classification in Online Health Discussions
  44. A Faster Branching Algorithm for the Maximum k-Defective Clique Problem
  45. Timeliness-Fidelity Tradeoff in 3D Scene Representations
  46. Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
  47. Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning
  48. COALA: A Practical and Vision-Centric Federated Learning Platform
  49. Patched RTC: evaluating LLMs for diverse software development tasks
  50. DC is all you need: describing ReLU from a signal processing standpoint
  51. Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization
  52. A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
  53. QPT V2: Masked Image Modeling Advances Visual Scoring
  54. Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques
  55. Quantifying the Role of Textual Predictability in Automatic Speech Recognition
  56. HAPFI: History-Aware Planning based on Fused Information
  57. AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game
  58. Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data
  59. Spurious Correlations in Concept Drift: Can Explanatory Interaction Help?
  60. Is 3D Convolution with 5D Tensors Really Necessary for Video Analysis?
  61. ToDER: Towards Colonoscopy Depth Estimation and Reconstruction with Geometry Constraint Adaptation
  62. HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
  63. Neural information field filter
  64. Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection
  65. Articulation Work and Tinkering for Fairness in Machine Learning
  66. Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay
  67. BONES: a Benchmark fOr Neural Estimation of Shapley values
  68. Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
  69. Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
  70. Side-Channel Analysis of OpenVINO-based Neural Network Models
  71. Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics
  72. Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides
  73. Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators
  74. Can time series forecasting be automated? A benchmark and analysis
  75. Psychomatics -- A Multidisciplinary Framework for Understanding Artificial Minds
  76. Enhancing LLM's Cognition via Structurization
  77. FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP
  78. Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
  79. Stochastic weight matrix dynamics during learning and Dyson Brownian motion
  80. ESOD: Efficient Small Object Detection on High-Resolution Images
  81. Accelerating Learned Video Compression via Low-Resolution Representation Learning
  82. On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis
  83. Low Complexity Regularized Phase Retrieval
  84. Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
  85. Hi-EF: Benchmarking Emotion Forecasting in Human-interaction
  86. On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
  87. VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
  88. SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval
  89. Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage
  90. A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to the large-scale dataset
  91. TookaBERT: A Step Forward for Persian NLU
  92. Bayesian Autoregressive Online Change-Point Detection with Time-Varying Parameters
  93. Ranking protein-protein models with large language models and graph neural networks
  94. Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction
  95. FCNR: Fast Compressive Neural Representation of Visualization Images
  96. Navigating Uncertainty in Medical Image Segmentation
  97. Harmonizing Visual Text Comprehension and Generation
  98. Virtue Ethics For Ethically Tunable Robotic Assistants
  99. TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
  100. Online Learning with Sublinear Best-Action Queries
  101. Strike a Balance in Continual Panoptic Segmentation
  102. FACTTRACK: Time-Aware World State Tracking in Story Outlines
  103. Data-driven Multistage Distributionally Robust Linear Optimization with Nested Distance
  104. SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
  105. Motion Capture from Inertial and Vision Sensors
  106. STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments
  107. PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets
  108. Improving multidimensional projection quality with user-specific metrics and optimal scaling
  109. Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection
  110. On The Expressive Power of Knowledge Graph Embedding Methods
  111. Deep Learning for Pancreas Segmentation: a Systematic Review
  112. MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
  113. A new visual quality metric for Evaluating the performance of multidimensional projections
  114. SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging
  115. DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions
  116. Sparse outlier-robust PCA for multi-source data
  117. EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
  118. Quantum Computing for Climate Resilience and Sustainability Challenges
  119. A new Linear Time Bi-level ℓ1,∞ projection ; Application to the sparsification of auto-encoders neural networks
  120. Visual Stereotypes of Autism Spectrum in Janus-Pro-7B, DALL-E, Stable Diffusion, SDXL, FLUX, and Midjourney
  121. TAPTRv2: Attention-based Position Update Improves Tracking Any Point
  122. Federated Learning for Face Recognition via Intra-subject Self-supervised Learning
  123. A deeper look at depth pruning of LLMs
  124. Efficient Detection of Commutative Factors in Factor Graphs
  125. When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models
  126. Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption
  127. HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis
  128. Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks
  129. Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words
  130. Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring
  131. Self-Reasoning Assistant Learning for non-Abelian Gauge Fields Design
  132. Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval
  133. Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
  134. HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
  135. Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities
  136. Identifiable Latent Bandits: Leveraging observational data for personalized decision-making
  137. OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
  138. Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
  139. A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation
  140. Algebraic Adversarial Attacks on Integrated Gradients
  141. Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
  142. OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
  143. Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features
  144. PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
  145. Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
  146. Strategy and Skill Learning for Physics-based Table Tennis Animation
  147. CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction
  148. MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation
  149. LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
  150. How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
  151. Artificial Agency and Large Language Models
  152. EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
  153. Automatic Environment Shaping is the Next Frontier in RL
  154. Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
  155. Logifold: A Geometrical Foundation of Ensemble Machine Learning
  156. Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
  157. Integrating Meshes and 3D Gaussians for Indoor Scene Reconstruction with SAM Mask Guidance
  158. Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality
  159. Progressively Modality Freezing for Multi-Modal Entity Alignment
  160. Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks
  161. Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Models
  162. Representation Magnitude has a Liability to Privacy Vulnerability
  163. TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
  164. UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
  165. Cross-Domain Separable Translation Network for Multimodal Image Change Detection
  166. On the Benefits of Rank in Attention Layers
  167. Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis
  168. CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
  169. Improved Few-Shot Image Classification Through Multiple-Choice Questions
  170. Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
  171. 3D-UGCN: A Unified Graph Convolutional Network for Robust 3D Human Pose Estimation from Monocular RGB Images
  172. Open-Set Biometrics: Beyond Good Closed-Set Models
  173. CrysToGraph: A Comprehensive Predictive Model for Crystal Materials Properties and the Benchmark
  174. FoRA: Low-Rank Adaptation Model beyond Multimodal Siamese Network
  175. Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
  176. Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
  177. Fr'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos
  178. Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility
  179. Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
  180. Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
  181. Analyzing Polysemy Evolution Using Semantic Cells
  182. Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision
  183. Decoding Digital Influence: The Role of Social Media Behavior in Scientific Stratification Through Logistic Attribution Method