mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 28 Feb 2024

298 papers

  1. Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce bannersDiffusion models → Image generation, text-to-image and editing
  2. CLLMs: Consistency Large Language ModelsEfficient LLM inference and serving → Speculative decoding
  3. Position Paper: Agent AI Towards a Holistic IntelligenceLLM agents and tool use → Multimodal and embodied agents
  4. TroubleLLM: Align to Red Team ExpertLLM safety and security → Safety alignment, refusal and guardrails
  5. Learning with Language-Guided State AbstractionsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  6. Data Interpreter: An LLM Agent For Data ScienceLLM agents and tool use → Web, search, and research agents
  7. Simple linear attention language models balance the recall-throughput tradeoffState-space sequence models (S4, Mamba) → Core SSM architectures for language
  8. ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum GamesOffline RL and imitation learning from data → Offline RL algorithms
  9. Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial PerspectiveDiffusion models → Robustness, privacy and adversarial aspects
  10. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  11. Diffusion Language Models Are Versatile Protein LearnersDiffusion models → Flow matching, time series and science
  12. A Categorization of Complexity Classes for Information Retrieval and Synthesis Using Natural LogicLLM reasoning → Reasoning benchmarks and evaluation
  13. Dynamical Regimes of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  14. Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience ReplayDeep reinforcement learning methods → RL for robot navigation and UAV control
  15. IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  16. Implementing Online Reinforcement Learning with Clustering Neural NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
  17. MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty EstimationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  18. Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and CommunicationLLM reasoning → Reasoning for agents, planning and code
  19. A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  20. VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language ModelsLLM reasoning → Multimodal reasoning
  21. Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection ModelDiffusion models → Medical imaging and segmentation
  22. Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  23. FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10,000 ClassesDiffusion models → Diffusion foundations and sampling
  24. How to think step-by-step: A mechanistic understanding of chain-of-thought reasoningLLM reasoning → Prompting and chain-of-thought reasoning
  25. EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  26. Whole-body Humanoid Robot Locomotion with Human ReferenceOffline RL and imitation learning from data → Real-world robot offline RL +1
  27. Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  28. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?LLM reasoning → Reasoning for agents, planning and code +1
  29. Reinforcement Learning and Graph Neural Networks for Probabilistic Risk AssessmentDeep reinforcement learning methods → RL for energy, networks and operations
  30. Learning or Self-aligning? Rethinking Instruction Fine-tuningLLM reasoning → Reasoning benchmarks and evaluation
  31. Prospect Personalized Recommendation on Large Language Model-based Agent PlatformLLM agents and tool use → Agentic recommender systems
  32. Balancing Act: Distribution-Guided Debiasing in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  33. Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought MergingLLM reasoning → Reasoning for agents, planning and code
  34. Generation of skill-specific maps from graph world models for robotic systemsWorld models → World models for navigation
  35. MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense DiscoveryKnowledge distillation → Knowledge distillation for LLMs
  36. Sequence-level Semantic Representation Fusion for Recommender SystemsMixture-of-experts → MoE for recommender systems
  37. Provable Risk-Sensitive Distributional Reinforcement Learning with General Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  38. Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  39. Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight ObservationDeep reinforcement learning methods → RL theory and sample complexity
  40. Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  41. Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and ReconstructionLLM safety and security → Jailbreaking
  42. No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision QuantizationEfficient LLM inference and serving → KV cache optimization
  43. Polos: Multimodal Metric Learning from Human Feedback for Image CaptioningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  44. Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image SynthesisDiffusion models → 3D, point cloud and scene generation
  45. SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  46. Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language ModelsLLM safety and security → Watermarking generated content and models
  47. Do Large Language Models Mirror Cognitive Language Processing?LLM reasoning → Reasoning benchmarks and evaluation
  48. Diffusion Models as Constrained Samplers for Optimization with Unknown ConstraintsDiffusion models → Diffusion foundations and sampling
  49. Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft WristDeep reinforcement learning methods → RL for robot locomotion and manipulation
  50. 3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document UnderstandingKnowledge distillation → Multimodal distillation
  51. Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  52. All in an Aggregated Image for In-Image LearningLLM reasoning → Multimodal reasoning +1
  53. Vision Language Model-based Caption Evaluation Method Leveraging Visual Context ExtractionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  54. Automatic Creative Selection with Cross-Modal Matching
  55. Removing Reflections from RAW Photos
  56. NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
  57. An AI-powered Technology Stack for Solving Many-Electron Field Theory
  58. Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities
  59. Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future
  60. LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
  61. The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
  62. Merino: Entropy-driven Design for Generative Language Models on IoT Devices
  63. ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
  64. Automatic driving lane change safety prediction model based on LSTM
  65. Phase autoencoder for limit-cycle oscillators
  66. Cultural Bias in Explainable AI Research: A Systematic Analysis
  67. Explainable Session-based Recommendation via Path Reasoning
  68. MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices
  69. Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
  70. GraphPub: Generation of Differential Privacy Graph with High Availability
  71. Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
  72. A Quick Framework for Evaluating Worst Robustness of Complex Networks
  73. Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem
  74. On the Challenges and Opportunities in Generative AI
  75. FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
  76. Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy
  77. Transformer-based Parameter Estimation in Statistics
  78. Towards Interpreting Multi-Objective Feature Associations
  79. Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization
  80. How Much Annotation is Needed to Compare Summarization Models?
  81. Pre-training Differentially Private Models with Limited Public Data
  82. Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean
  83. Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains
  84. Accelerating Computer Architecture Simulation through Machine Learning
  85. A revision on Multi-Criteria Decision Making methods for Multi-UAV Mission Planning Support
  86. Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance
  87. Priority Sampling of Large Language Models for Compilers
  88. GAIA: Categorical Foundations of Generative AI
  89. A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks
  90. Unveiling Privacy, Memorization, and Input Curvature Links
  91. Learning Associative Memories with Gradient Descent
  92. Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks
  93. Commonsense Ontology Micropatterns
  94. Learning to Compress Prompt in Natural Language Formats
  95. Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection
  96. Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
  97. Grounding Language Models for Visual Entity Recognition
  98. The VOROS: Lifting ROC curves to 3D
  99. RORA: Robust Free-Text Rationale Evaluation
  100. Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks
All 298
  1. Trends, Applications, and Challenges in Human Attention Modelling
  2. FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability
  3. Large Language Models and Games: A Survey and Roadmap
  4. Quantifying Human Priors over Social and Navigation Networks
  5. A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems
  6. GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks
  7. JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
  8. Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains
  9. Understanding overfitting in random forest for probability estimation: a visualization and simulation study
  10. Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph
  11. ICE-SEARCH: A Language Model-Driven Feature Selection Approach
  12. Impact of network topology on the performance of Decentralized Federated Learning
  13. FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds
  14. MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
  15. Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina
  16. Towards Unified 3D Object Detection via Algorithm and Data Unification
  17. Approaching Human-Level Forecasting with Language Models
  18. Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture
  19. Implicit Optimization Bias of Next-Token Prediction in Linear Models
  20. Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces
  21. Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
  22. Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
  23. Defect Detection in Tire X-Ray Images: Conventional Methods Meet Deep Structures
  24. Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference
  25. RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval
  26. Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
  27. Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images
  28. Evolving machine learning workflows through interactive AutoML
  29. Detection of Micromobility Vehicles in Urban Traffic Videos
  30. Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
  31. Language Models Represent Beliefs of Self and Others
  32. ROGPL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
  33. Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
  34. TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
  35. A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
  36. A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics
  37. NewsQs: Multi-Source Question Generation for the Inquiring Mind
  38. Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
  39. Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
  40. Meta-Task Prompting Elicits Embeddings from Large Language Models
  41. HOP to the Next Tasks and Domains for Continual Learning in NLP
  42. Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
  43. LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs
  44. Graph Regularized Encoder Training for Extreme Classification
  45. Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
  46. A Relational Inductive Bias for Dimensional Abstraction in Neural Networks
  47. Emotion Classification in Low and Moderate Resource Languages
  48. Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
  49. Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information
  50. Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
  51. A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation
  52. Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
  53. Deep Confident Steps to New Pockets: Strategies for Docking Generalization
  54. Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems
  55. Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
  56. Neuromorphic Event-Driven Semantic Communication in Microgrids
  57. The First Place Solution of WSDM Cup 2024: Leveraging Large Language Models for Conversational Multi-Doc QA
  58. Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study
  59. Large Language Models As Evolution Strategies
  60. Out-of-Domain Generalization in Dynamical Systems Reconstruction
  61. Tokenization Is More Than Compression
  62. Similarity-based analogical proportions
  63. SuperdropNet: a Stable and Accurate Machine Learning Proxy for Droplet-based Cloud Microphysics
  64. LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping
  65. Probabilistic Bayesian optimal experimental design using conditional normalizing flows
  66. Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
  67. Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
  68. Robust Synthetic Data-Driven Detection of Living-Off-the-Land Reverse Shells
  69. When Should Algorithms Resign? A Proposal for AI Governance
  70. Location-guided Head Pose Estimation for Fisheye Image
  71. A Multimodal Handover Failure Detection Dataset and Baselines
  72. Escaping Local Optima in Global Placement
  73. Enhancing Roadway Safety: LiDAR-based Tree Clearance Analysis
  74. Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation
  75. NERV++: An Enhanced Implicit Neural Video Representation
  76. Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition
  77. Continuous Memory Representation for Anomaly Detection
  78. FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
  79. Development of Context-Sensitive Formulas to Obtain Constant Luminance Perception for a Foreground Object in Front of Backgrounds of Varying Luminance
  80. Windowed-FourierMixer: Enhancing Clutter-Free Room Modeling with Fourier Transform
  81. Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
  82. PiShield: A PyTorch Package for Learning with Requirements
  83. Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient
  84. EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods
  85. Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
  86. Exploration of Adapter for Noise Robust Automatic Speech Recognition
  87. A Survey on Neural Question Generation: Methods, Applications, and Prospects
  88. WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario
  89. Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
  90. Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
  91. A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
  92. Towards Generalist Prompting for Large Language Models by Mental Models
  93. On the Accuracy of Edge Detectors in Number Plate Extraction
  94. A network-constrain Weibull AFT model for biomarkers discovery
  95. Affective State Detection using fNIRs and Machine Learning
  96. Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data
  97. Zero-Shot Aerial Object Detection with Visual Description Regularization
  98. CogBench: a large language model walks into a psychology lab
  99. Improving Open-Ended Text Generation via Adaptive Decoding
  100. HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
  101. Region-Aware Exposure Consistency Network for Mixed Exposure Correction
  102. LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
  103. Multi-objective Differentiable Neural Architecture Search
  104. Catastrophic Overfitting: A Potential Blessing in Disguise
  105. DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition
  106. Oil Spill Drone: A Dataset of Drone-Captured, Segmented RGB Images for Oil Spill Detection in Port Environments
  107. Learning Invariant Inter-pixel Correlations for Superpixel Generation
  108. Automated Machine Learning for Multi-Label Classification
  109. NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images
  110. Misalignment-Robust Frequency Distribution Loss for Image Transformation
  111. Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
  112. CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation
  113. Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
  114. Reflection Removal Using Recurrent Polarization-to-Polarization Network
  115. Self-Supervised Spatially Variant PSF Estimation for Aberration-Aware Depth-from-Defocus
  116. NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes
  117. Digging Into Normal Incorporated Stereo Matching
  118. Decentralised Traffic Incident Detection via Network Lasso
  119. Autoencoder-based General Purpose Representation Learning for Customer Embedding
  120. Ef-QuantFace: Streamlined Face Recognition with Small Data and Low-Bit Precision
  121. Out-of-Distribution Detection using Neural Activation Prior
  122. Evaluating Quantized Large Language Models
  123. From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs
  124. Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
  125. Diffusion-Based Neural Network Weights Generation
  126. Boosting Neural Representations for Videos with a Conditional Decoder
  127. A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction
  128. 3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling
  129. Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
  130. Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information
  131. OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction
  132. Cause and Effect: Can Large Language Models Truly Understand Causality?
  133. DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
  134. Learning to Deblur Polarized Images
  135. Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
  136. Understanding the Role of Pathways in a Deep Neural Network
  137. On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
  138. Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
  139. Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
  140. Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
  141. G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment
  142. Saving the legacy of Hero Ibash: Evaluating Four Language Models for Aminoacian
  143. PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
  144. Block and Detail: Scaffolding Sketch-to-Image Generation
  145. UniVS: Unified and Universal Video Segmentation with Prompts as Queries
  146. Small But Funny: A Feedback-Driven Approach to Humor Distillation
  147. Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
  148. Dual-Context Aggregation for Universal Image Matting
  149. Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
  150. Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context
  151. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
  152. Context-aware Talking Face Video Generation
  153. Generalizable Two-Branch Framework for Image Class-Incremental Learning
  154. Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation
  155. Six-Point Method for Multi-Camera Systems with Reduced Solution Space
  156. Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning
  157. Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
  158. On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
  159. Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions
  160. Contextualizing Generated Citation Texts
  161. MEGAnno+: A Human-LLM Collaborative Annotation System
  162. Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
  163. Data augmentation method for modeling health records with applications to clopidogrel treatment failure detection
  164. Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore
  165. SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation
  166. Crisis talk: analysis of the public debate around the energy crisis and cost of living
  167. Datasets for Large Language Models: A Comprehensive Survey
  168. Automated Discovery of Integral with Deep Learning
  169. ResLoRA: Identity Residual Mapping in Low-Rank Adaption
  170. Human Shape and Clothing Estimation
  171. Corpus-Steered Query Expansion with Large Language Models
  172. OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine
  173. Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
  174. Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions
  175. Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
  176. User Decision Guidance with Selective Explanation Presentation from Explainable-AI
  177. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
  178. Representing 3D sparse map points and lines for camera relocalization
  179. Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations
  180. Mixer is more than just a model
  181. A Sentiment Consolidation Framework for Meta-Review Generation
  182. Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures
  183. Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars
  184. Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
  185. PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis
  186. FlattenQuant: Breaking Through the Inference Compute-bound for Large Language Models with Per-tensor Quantization
  187. Collaborative decoding of critical tokens for boosting factuality of large language models
  188. Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
  189. Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
  190. Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks
  191. From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments
  192. Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning
  193. STC-ViT: Spatio Temporal Continuous Vision Transformer for Medium-range Global Weather Forecasting
  194. Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping
  195. An Iterative Associative Memory Model for Empathetic Response Generation
  196. Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
  197. QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
  198. SparseLLM: Towards Global Pruning for Pre-trained Language Models