mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 27 Jun 2024

288 papers

  1. Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving GenerationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  2. Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning FeedbackDiffusion models → Image generation, text-to-image and editing +2
  3. Latent Diffusion for Neural Spiking DataDiffusion models → Diffusion foundations and sampling
  4. On Discrete Prompt Optimization for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  5. ColPali: Efficient Document Retrieval with Vision Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  6. Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular TasksLLM agents and tool use → Tool learning and function calling
  7. From Efficient Multimodal Models to World Models: A SurveyWorld models → World models for language agents
  8. Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and ChallengesSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
  9. Instance Temperature Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  10. OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following AgentsVision-language-action models → VLA architectures and generalization +2
  11. UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AILLM safety and security → Machine unlearning
  12. Curriculum Learning with Quality-Driven Data SelectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  13. PathAlign: A vision-language model for whole slide images in histopathologyMultimodal LLMs / vision-language models → Medical vision-language models
  14. How Far are AI-generated Videos from Simulating the 3D Visual World: A Learned 3D Evaluation ApproachDiffusion models → 3D, point cloud and scene generation
  15. Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style PlanningDeep reinforcement learning methods → Deep RL algorithms and representations
  16. Rethinking harmless refusals when fine-tuning foundation modelsLLM reasoning → Prompting and chain-of-thought reasoning
  17. RASTeR: Robust, Agentic, and Structured Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  18. Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge UtilizationLLM reasoning → Knowledge- and tool-augmented reasoning
  19. Monitoring Latent World States in Language Models with Propositional ProbesWorld models → World models for language agents +1
  20. Knowledge acquisition for dialogue agents using reinforcement learning on graph representationsDeep reinforcement learning methods → RL training of language and agent models
  21. Development and Evaluation of a Retrieval-Augmented Generation Tool for Creating SAPPhIRE Models of Artificial SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
  22. Dataset Size Recovery from LoRA WeightsLLM safety and security → Membership inference attacks
  23. ReXTime: A Benchmark Suite for Reasoning-Across-Time in VideosLLM reasoning → Multimodal reasoning
  24. OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and UnderstandingLLM reasoning → Multimodal reasoning
  25. Suri: Multi-constraint Instruction Following for Long-form Text GenerationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  26. Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything ModelState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  27. Subtractive Training for Music Stem Insertion using Latent Diffusion ModelsDiffusion models → Audio, speech and music
  28. Efficient World Models with Context-Aware TokenizationWorld models → Latent dynamics models and model-based RL +1
  29. Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-EncodersRetrieval-augmented generation → RAG robustness and adaptive retrieval
  30. Compositional Image Decomposition with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  31. Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature DistillationKnowledge distillation → Multimodal distillation
  32. From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataLLM reasoning → Reasoning benchmarks and evaluation +1
  33. HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at ScaleMultimodal LLMs / vision-language models → Medical vision-language models
  34. AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  35. FlowVQA: Mapping Multimodal Logic in Visual Question Answering with FlowchartsLLM reasoning → Multimodal reasoning +1
  36. Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
  37. Aligning Teacher with Student Preferences for Tailored Training Data GenerationKnowledge distillation → Knowledge distillation for LLMs
  38. Simulating Classroom Education with LLM-Empowered AgentsLLM agents and tool use → Educational agents and math problem solving
  39. Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical VideosLLM reasoning → Clinical and biomedical applications
  40. SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  41. Averaging log-likelihoods in direct alignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  42. Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  43. RAVEN: Multitask Retrieval Augmented Vision-Language LearningRetrieval-augmented generation → Multimodal RAG
  44. CELLO: Causal Evaluation of Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  45. Towards Learning Abductive Reasoning using VSA Distributed RepresentationsLLM reasoning → Reasoning benchmarks and evaluation
  46. DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual SlimmingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  47. Fairness and Bias in Multimodal AI: A SurveyMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  48. EmPO: Emotion Grounding for Empathetic Response Generation through Preference OptimizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  49. DiffLoss: unleashing diffusion model as constraint for training image restoration networkDiffusion models → Inverse problems and image restoration
  50. Snakes and Ladders: Two Steps Up for VideoMambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  51. RoboUniView: Visual-Language Model with Unified View Representation for Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  52. DataGen: Unified Synthetic Dataset Generation via Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  53. AnyControl: Create Your Artwork with Versatile Control on Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  54. Alignment For Performance Improvement in Conversation BotsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  55. MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information FusionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  56. Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  57. Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument UnderstandingLLM reasoning → Multimodal reasoning
  58. Manipulate-Anything: Automating Real-World Robots using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  59. AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
  60. Efficacy of Language Model Self-Play in Non-Zero-Sum GamesSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
  61. Advancing Cross-domain Discriminability in Continual Learning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  62. Decoding-Time Language Model Alignment with Multiple ObjectivesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  63. Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  64. Revisiting Backdoor Attacks against Large Vision-Language Models from Domain ShiftMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  65. Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQALLM reasoning → Multimodal reasoning
  66. "My Kind of Woman": Analysing Gender Stereotypes in AI through The Averageness Theory and EU Law
  67. ViT LoS V2X: Vision Transformers for Environment-aware LoS Blockage Prediction for 6G Vehicular Networks
  68. GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones
  69. FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models
  70. Data Generation Using Large Language Models for Text Classification: An Empirical Case Study
  71. Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI
  72. Adaptive Draft-Verification for Efficient Large Language Model Decoding
  73. SignSpeak: Open-Source Time Series Classification for ASL Translation
  74. DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model
  75. Empirical Evaluation of Public HateSpeech Datasets
  76. Follow-Up Questions Improve Documents Generated by Large Language Models
  77. LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
  78. The Great AI Witch Hunt: Reviewers Perception and (Mis)Conception of Generative AI in Research Writing
  79. LongLaMP: A Benchmark for Personalized Long-form Text Generation
  80. Does ChatGPT Have a Mind?
  81. CAPM: Fast and Robust Verification on Maxpool-based CNN via Dual Network
  82. Recursive InPainting (RIP): how much information is lost under recursive inferences?
  83. Towards Temporal Change Explanations from Bi-Temporal Satellite Images
  84. Predicting Depression and Anxiety Risk in Dutch Neighborhoods from Street-View Images
  85. Designing Chaotic Attractors: A Semi-supervised Approach
  86. A Transformer-Based Multi-Stream Approach for Isolated Iranian Sign Language Recognition
  87. From Modular to End-to-End Speaker Diarization
  88. Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
  89. Meta Large Language Model Compiler: Foundation Models of Compiler Optimization
  90. Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models
  91. Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
  92. Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques
  93. Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
  94. Machine learning meets mass spectrometry: a focused perspective
  95. Personalized Federated Continual Learning via Multi-granularity Prompt
  96. Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
  97. Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
  98. A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling
  99. WineGraph: A Graph Representation For Food-Wine Pairing
  100. Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction
All 288
  1. MultiTask Learning AI system to assist BCC diagnosis with dual explanation
  2. Hybrid Approach to Parallel Stochastic Gradient Descent
  3. Enhancing In-Context Learning via Implicit Demonstration Augmentation
  4. Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data
  5. Private Zeroth-Order Nonsmooth Nonconvex Optimization
  6. Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
  7. On Counterfactual Interventions in Vector Autoregressive Models
  8. Synthetic Cancer -- Augmenting Worms with LLMs
  9. Instance-Optimal Private Density Estimation in the Wasserstein Distance
  10. Voices Unheard: NLP Resources and Models for Yor`ub'a Regional Dialects
  11. Cost-efficient Active Illumination Camera For Hyper-spectral Reconstruction
  12. Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
  13. BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases
  14. ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search
  15. Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
  16. Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management
  17. Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results
  18. Handling Ontology Gaps in Semantic Parsing
  19. Differentiable Quadratic Optimization For The Maximum Independent Set Problem
  20. Off-policy Evaluation with Deeply-abstracted States
  21. Harnessing LLMs for Automated Video Content Analysis: An Exploratory Workflow of Short Videos on Depression
  22. TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers
  23. Bayesian calibration of stochastic agent based model via random forest
  24. Reliable edge machine learning hardware for scientific applications
  25. Comparative Analysis Of Color Models For Human Perception And Visual Color Difference
  26. Captioning Visualizations with Large Language Models (CVLLM): A Tutorial
  27. Too Good to be True? Turn Any Model Differentially Private With DP-Weights
  28. Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT
  29. Improving Finite Sample Performance of Causal Discovery by Exploiting Temporal Structure
  30. Stereo Vision Based Robot for Remote Monitoring with VR Support
  31. Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts
  32. High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models
  33. LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
  34. GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation
  35. xTower: A Multilingual LLM for Explaining and Correcting Translation Errors
  36. Sparse Regression for Machine Translation
  37. Multi-agent Cooperative Games Using Belief Map Assisted Training
  38. Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization
  39. Changing Answer Order Can Decrease MMLU Accuracy
  40. Can Large Language Models Generate High-quality Patent Claims?
  41. ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data
  42. Efficient and Distributed Large-Scale 3D Map Registration using Tomographic Features
  43. A Sanity Check for AI-generated Image Detection
  44. Lightweight Predictive 3D Gaussian Splats
  45. HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection
  46. Looking 3D: Anomaly Detection with 2D-3D Alignment
  47. Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads
  48. SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
  49. Taming Data and Transformers for Audio Generation
  50. The Remarkable Robustness of LLMs: Stages of Inference?
  51. TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  52. Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
  53. SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
  54. STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning
  55. The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models
  56. DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
  57. Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
  58. CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement
  59. IndoToxic2024: A Demographically-Enriched Dataset of Hate Speech and Toxicity Types for Indonesian Language
  60. Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
  61. LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans
  62. Jump Starting Bandits with LLM-Generated Prior Knowledge
  63. Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation
  64. LiveBench: A Challenging, Contamination-Limited LLM Benchmark
  65. The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning
  66. Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors
  67. MCNC: Manifold-Constrained Reparameterization for Neural Compression
  68. scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data
  69. PNeRV: A Polynomial Neural Representation for Videos
  70. Human Modelling and Pose Estimation Overview
  71. VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation
  72. Stochastic Concept Bottleneck Models
  73. AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge
  74. Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
  75. Commodification of Compute
  76. Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
  77. AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI
  78. Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment
  79. Advection Augmented Convolutional Neural Networks
  80. NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
  81. Contrastive Local Manifold Learning for No-Reference Image Quality Assessment
  82. Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
  83. Application of ASV for Voice Identification after VC and Duration Predictor Improvement in TTS Models
  84. ALMA: a mathematics-driven approach for determining tuning parameters in generalized LASSO problems, with applications to MRI
  85. Revealing Fine-Grained Values and Opinions in Large Language Models
  86. Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions
  87. RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
  88. Spiking Convolutional Neural Networks for Text Classification
  89. Tools Fail: Detecting Silent Errors in Faulty Tools
  90. ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
  91. T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
  92. Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
  93. Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
  94. BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
  95. Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Data
  96. Annotation Errors and NER: A Study with OntoNotes 5.0
  97. The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems
  98. Single Image Estimation of Cell Migration Direction by Deep Circular Regression
  99. Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
  100. Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet)
  101. BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision
  102. Resolving Discrepancies in Compute-Optimal Scaling of Language Models
  103. YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
  104. DEX-TTS: Diffusion-based EXpressive Text-to-Speech with Style Modeling on Time Variability
  105. Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
  106. Super-resolution imaging using super-oscillatory diffractive neural networks
  107. CHEW: A Dataset of CHanging Events in Wikipedia
  108. A Teacher Is Worth A Million Instructions
  109. Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
  110. FDLite: A Single Stage Lightweight Face Detector Network
  111. Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
  112. Adaptive Stochastic Weight Averaging
  113. Dimensions underlying the representational alignment of deep neural networks with humans
  114. Unsupervised Latent Stain Adaptation for Computational Pathology
  115. AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
  116. FAGhead: Fully Animate Gaussian Head from Monocular Videos
  117. Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers
  118. STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis
  119. Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
  120. SimpleFusion: A Simple Fusion Framework for Infrared and Visible Images
  121. A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
  122. Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers
  123. FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
  124. Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
  125. BiCo-Fusion: Bidirectional Complementary LiDAR-Camera Fusion for Semantic- and Spatial-Aware 3D Object Detection
  126. CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI
  127. On Convex Optimization with Semi-Sensitive Features
  128. Improving Weak-to-Strong Generalization with Reliability-Aware Alignment
  129. Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
  130. Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
  131. Zero-shot domain adaptation based on dual-level mix and contrast
  132. FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
  133. Semi-supervised Concept Bottleneck Models
  134. A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis
  135. Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over
  136. Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
  137. CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation
  138. Evaluating AI Group Fairness: a Fuzzy Logic Perspective
  139. Federated Graph Semantic and Structural Learning
  140. The single-use restriction for register automata and transducers over infinite alphabets
  141. Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
  142. Reasoning About Action and Change
  143. Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network
  144. RoFIR: Robust Fisheye Image Rectification Framework Impervious to Optical Center Deviation
  145. Fine-tuned network relies on generic representation to solve unseen cognitive task
  146. Learning Pareto Set for Multi-Objective Continuous Robot Control
  147. Time Matters: Scaling Laws for Any Budget
  148. Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
  149. Classification of Carotid Plaque with Jellyfish Sign Through Convolutional and Recurrent Neural Networks Utilizing Plaque Surface Edges
  150. TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
  151. Factor-Conditioned Speaking-Style Captioning
  152. A Universal Railway Obstacle Detection System based on Semi-supervised Segmentation And Optical Flow
  153. Historia Magistra Vitae: Dynamic Topic Modeling of Roman Literature using Neural Embeddings
  154. Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets
  155. Statistical Test for Feature Selection Pipelines by Selective Inference
  156. Autoencoder based approach for the mitigation of spurious correlations
  157. The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
  158. Autonomous Control of a Novel Closed Chain Five Bar Active Suspension via Deep Reinforcement Learning
  159. 360 in the Wild: Dataset for Depth Prediction and View Synthesis
  160. Can we teach language models to gloss endangered languages?
  161. LearnedKV: Integrating LSM and Learned Index for Superior Performance on Storage
  162. Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set
  163. SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
  164. DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment
  165. From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
  166. Learning Modality Knowledge Alignment for Cross-Modality Transfer
  167. Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods
  168. Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification
  169. FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus
  170. What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
  171. LICO: Large Language Models for In-Context Molecular Optimization
  172. Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation
  173. Learning Retrieval Augmentation for Personalized Dialogue Generation
  174. Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition
  175. Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach
  176. Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
  177. OutlierTune: Efficient Channel-Wise Quantization for Large Language Models
  178. Full Information Linked ICA: addressing missing data problem in multimodal fusion
  179. Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelis
  180. Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
  181. MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation
  182. Length Optimization in Conformal Prediction
  183. A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
  184. Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation
  185. Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
  186. Online Stackelberg Optimization via Nonlinear Control
  187. All Random Features Representations are Equivalent
  188. Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think