mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 22 Feb 2024

319 papers

  1. SIMPLOT: Enhancing Chart Question Answering by Distilling EssentialsLLM reasoning → Multimodal reasoning +1
  2. DiffuSolve: Diffusion-based Solver for Non-convex Trajectory OptimizationDiffusion models → Diffusion and flow policies for robotics
  3. CLoVe: Encoding Compositional Language in Contrastive Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  4. Unintended Impacts of LLM Alignment on Global RepresentationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  5. Divide-or-Conquer? Which Part Should You Distill Your LLM?LLM reasoning → Reasoning benchmarks and evaluation
  6. Optimizing Language Models for Human Preferences is a Causal Inference ProblemLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  7. Mudjacking: Patching Backdoor Vulnerabilities in Foundation ModelsLLM safety and security → Backdoor and data poisoning attacks
  8. GenCeption: Evaluate Vision LLMs with Unlabeled Unimodal DataMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich ReasoningLLM reasoning → Test-time compute and efficient thinking
  10. Reinforcement Learning with Elastic Time StepsDeep reinforcement learning methods → RL theory and sample complexity
  11. Learning Inverse Kinodynamics for Autonomous Vehicle DriftingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  12. Practical Insights into Knowledge Distillation for Pre-Trained ModelsKnowledge distillation → General knowledge distillation methods
  13. Watermarking Makes Language Models RadioactiveLLM safety and security → Watermarking generated content and models
  14. Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial ImageLLM reasoning → Multimodal reasoning +1
  15. Chain-of-Thought Unfaithfulness as Disguised AccuracyLLM reasoning → Prompting and chain-of-thought reasoning
  16. LLMBind: A Unified Modality-Task Integration FrameworkMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  17. Applying Reinforcement Learning to Optimize Traffic Light CyclesDeep reinforcement learning methods → RL for autonomous driving and traffic
  18. Double-I Watermark: Protecting Model Copyright for LLM Fine-tuningLLM safety and security → Watermarking generated content and models
  19. PALO: A Polyglot Large Multimodal Model for 5B PeopleMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  20. Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical ImagingMultimodal LLMs / vision-language models → Medical vision-language models
  21. GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising DiffusionDiffusion models → Diffusion and flow policies for robotics
  22. CriticBench: Benchmarking LLMs for Critique-Correct ReasoningLLM reasoning → Test-time compute and efficient thinking
  23. Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetLLM reasoning → Multimodal reasoning +1
  24. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsMixture-of-experts → MoE large language models
  25. CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  26. Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion ModelsDiffusion models → Video generation
  27. DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  28. Generalizing Reward Modeling for Out-of-Distribution Preference LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  29. SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with TrafficDeep reinforcement learning methods → RL for robot navigation and UAV control
  30. Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility GenerationLLM agents and tool use → Multimodal and embodied agents
  31. Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  32. PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic ModelDiffusion models → Audio, speech and music
  33. Q-Probe: A Lightweight Approach to Reward Maximization for Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  34. Visual Hallucinations of Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  35. Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  36. ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language ModelsLLM reasoning → Mathematical reasoning
  37. OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementLLM reasoning → Reasoning for agents, planning and code
  38. Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning
  39. Debiasing Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  40. Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  41. Less is More: Mitigating Multimodal Hallucination from an EOS Decision PerspectiveMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  42. ACE : Off-Policy Actor-Critic with Causality-Aware Entropy RegularizationDeep reinforcement learning methods → RL theory and sample complexity
  43. Towards Robust Instruction Tuning on Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  44. MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQRDeep reinforcement learning methods → RL for games and combinatorial optimization
  45. MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  46. Model-Based Reinforcement Learning Control of Reaction-Diffusion ProblemsDeep reinforcement learning methods → RL with diffusion and flow models
  47. Uncertainty-Aware Evaluation for Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  48. Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  49. Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-TrainingWorld models → Embodied and robot world models +1
  50. On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary ProbeLLM reasoning → Reasoning benchmarks and evaluation
  51. Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentDiffusion models → Diffusion foundations and sampling
  52. Chain-of-History Reasoning for Temporal Knowledge Graph ForecastingLLM reasoning → Knowledge- and tool-augmented reasoning
  53. OpenTab: Advancing Large Language Models as Open-domain Table ReasonersLLM reasoning → Knowledge- and tool-augmented reasoning
  54. Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware BenchmarkLLM reasoning → Knowledge- and tool-augmented reasoning
  55. Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?LLM reasoning → Reasoning benchmarks and evaluation
  56. TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth EstimationKnowledge distillation → Detection and dense prediction distillation
  57. How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale UncertaintyLLM reasoning → Reasoning benchmarks and evaluation
  58. Understanding and Patching Compositional Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
  59. Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question AnsweringLLM agents and tool use → Web, search, and research agents
  60. Assessing generalization capability of text ranking models in PolishRetrieval-augmented generation → RAG pipeline design and evaluation
  61. Typographic Text Generation with Off-the-Shelf Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  62. Font Style Interpolation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  63. We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in MicrogravityLLM agents and tool use → Multimodal and embodied agents
  64. TinyLLaVA: A Framework of Small-scale Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  65. Symbolic Music Generation with Non-Differentiable Rule Guided DiffusionDiffusion models → Audio, speech and music
  66. Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  67. MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance ConstraintLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  68. Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  69. COPR: Continual Human Preference Learning via Optimal Policy RegularizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  70. BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing GameplayOffline RL and imitation learning from data → Imitation learning methods
  71. SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People
  72. A Bio-Medical Snake Optimizer System Driven by Logarithmic Surviving Global Search for Optimizing Feature Selection and its application for Disorder Recognition
  73. Unleashing the Power of AI. A Systematic Review of Cutting-Edge Techniques in AI-Enhanced Scientometrics, Webometrics, and Bibliometrics
  74. Exploring and Applying Audio-Based Sentiment Analysis in Music
  75. Is ChatGPT More Empathetic than Humans?
  76. Ads Recommendation in a Collapsed and Entangled World
  77. L+M-24: Building a Dataset for Language + Molecules @ ACL 2024
  78. Structuring Concept Space with the Musical Circle of Fifths by Utilizing Music Grammar Based Activations
  79. Assessing the importance of long-range correlations for deep-learning-based sleep staging
  80. Dynamic Anchor Selection and Real-Time Pose Prediction for Ultra-wideband Tagless Gate
  81. DiCoM -- Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies
  82. Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
  83. Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education
  84. Practice Makes Perfect: Planning to Learn Skill Parameter Policies
  85. Towards Probabilistically-Sound Beam Search with Masked Language Models
  86. Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
  87. Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
  88. Ar-Spider: Text-to-SQL in Arabic
  89. A Conversational Brain-Artificial Intelligence Interface
  90. How Important Is Tokenization in French Medical Masked Language Models?
  91. opp/ai: Optimistic Privacy-Preserving AI on Blockchain
  92. Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
  93. CommVQA: Situating Visual Question Answering in Communicative Contexts
  94. tinyBenchmarks: evaluating LLMs with fewer examples
  95. Quantum Theory and Application of Contextual Optimal Transport
  96. Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  97. Verifiable Boosted Tree Ensembles
  98. On the Performance of Empirical Risk Minimization with Smoothed Data
  99. Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
  100. Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry
All 319
  1. Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence
  2. Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
  3. AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation
  4. Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
  5. Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
  6. MultiLS: A Multi-task Lexical Simplification Framework
  7. Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
  8. Smoothness Adaptive Hypothesis Transfer Learning
  9. A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
  10. EE3P: Event-based Estimation of Periodic Phenomena Properties
  11. The Common Stability Mechanism behind most Self-Supervised Learning Approaches
  12. In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
  13. Enhancing Power Quality Event Classification with AI Transformer Models
  14. Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach
  15. SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge
  16. Path Planning based on 2D Object Bounding-box
  17. Federated Fairness without Access to Sensitive Groups
  18. Boosting gets full Attention for Relational Learning
  19. Efficient Unbiased Sparsification
  20. MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
  21. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs
  22. A Usage-centric Take on Intent Understanding in E-Commerce
  23. On Evaluation Protocols for Data Augmentation in a Limited Data Scenario
  24. Data-Driven Ground-Fault Location Method in Distribution Power System With Distributed Generation
  25. Novelty Detection on Radio Astronomy Data using Signatures
  26. Vygotsky Distance: Measure for Benchmark Task Similarity
  27. COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
  28. Efficient data selection employing Semantic Similarity-based Graph Structures for model training
  29. Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions
  30. Cameras as Rays: Pose Estimation via Ray Diffusion
  31. WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
  32. Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
  33. RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  34. A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
  35. Difference Learning for Air Quality Forecasting Transport Emulation
  36. Identifying Multiple Personalities in Large Language Models with External Evaluation
  37. Link Prediction with Physics-Inspired Graph Neural Networks
  38. Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
  39. Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
  40. Consolidating Attention Features for Multi-view Image Editing
  41. Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
  42. Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
  43. Zero-shot cross-lingual transfer in instruction tuning of large language models
  44. Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
  45. 2D Matryoshka Sentence Embeddings
  46. MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  47. Generalising realisability in statistical learning theory under epistemic uncertainty
  48. Batch and match: black-box variational inference with a score-based divergence
  49. Prompting a Pretrained Transformer Can Be a Universal Approximator
  50. Scaling Efficient LLMs
  51. Dependency Annotation of Ottoman Turkish with Multilingual BERT
  52. Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
  53. How Transformers Learn Causal Structure with Gradient Descent
  54. Clifford-Steerable Convolutional Neural Networks
  55. The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success
  56. Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning
  57. A Transformer Model for Boundary Detection in Continuous Sign Language
  58. Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models
  59. IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
  60. CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
  61. Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening
  62. An LLM-Enhanced Adversarial Editing System for Lexical Simplification
  63. On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
  64. InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
  65. COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling
  66. Unveiling Linguistic Regions in Large Language Models
  67. Using construction waste hauling trucks' GPS data to classify earthwork-related locations: A Chengdu case study
  68. QIS : Interactive Segmentation via Quasi-Conformal Mappings
  69. A Quick Introduction to Quantum Machine Learning for Non-Practitioners
  70. UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models
  71. Adaptive time series forecasting with markovian variance switching
  72. Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model's Personality
  73. Quadruplet Loss For Improving the Robustness to Face Morphing Attacks
  74. Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
  75. Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
  76. Cleaner Pretraining Corpus Curation with Neural Web Scraping
  77. GaussianPro: 3D Gaussian Splatting with Progressive Propagation
  78. Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
  79. CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
  80. Sparse Linear Regression and Lattice Problems
  81. Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
  82. RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation
  83. From Keywords to Structured Summaries: Streamlining Scholarly Information Access
  84. latrend: A Framework for Clustering Longitudinal Data
  85. The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
  86. Two Counterexamples to Tokenization and the Noiseless Channel
  87. Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
  88. Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
  89. High-Speed Detector For Low-Powered Devices In Aerial Grasping
  90. FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis
  91. Bandits with Abstention under Expert Advice
  92. Multivariate Online Linear Regression for Hierarchical Forecasting
  93. LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition
  94. Self-supervised Visualisation of Medical Image Datasets
  95. LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
  96. CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
  97. OmniPred: Language Models as Universal Regressors
  98. Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis
  99. Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard
  100. A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
  101. Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance
  102. Federated Learning in Genetics: Extended Analysis of Accuracy, Performance and Privacy Trade-offs
  103. Balanced Data Sampling for Language Model Training with Clustering
  104. Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers
  105. Daisy-TTS: Simulating Wider Spectrum of Emotions via Prosody Embedding Decomposition
  106. Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
  107. Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
  108. Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks
  109. Deep vessel segmentation based on a new combination of vesselness filters
  110. Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
  111. "My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
  112. A Collision-Aware Cable Grasping Method in Cluttered Environment
  113. Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task
  114. Imbalanced Data Clustering using Equilibrium K-Means
  115. A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
  116. Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
  117. Are Bounded Contracts Learnable and Approximately Optimal?
  118. Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
  119. SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
  120. Towards Automated Causal Discovery: a case study on 5G telecommunication data
  121. DynGMA: a robust approach for learning stochastic differential equations from data
  122. Data Science with LLMs and Interpretable Models
  123. Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
  124. Reimagining Anomalies: What If Anomalies Were Normal?
  125. NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection
  126. S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR
  127. Reframing the Expected Free Energy: Four Formulations and a Unification
  128. Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea Water
  129. NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
  130. Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts
  131. VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning
  132. CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation
  133. Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?
  134. Parallelized Midpoint Randomization for Langevin Monte Carlo
  135. A Language Model's Guide Through Latent Space
  136. Robust Training of Federated Models with Extremely Label Deficiency
  137. KoCoSa: Korean Context-aware Sarcasm Detection Dataset
  138. Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR
  139. Automating psychological hypothesis generation with AI: when large language models meet causal graph
  140. The Universe as a Learning System
  141. TaylorGrid: Towards Fast and High-Quality Implicit Field Learning via Direct Taylor-based Grid Optimization
  142. J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema
  143. Transferring BERT Capabilities from High-Resource to Low-Resource Languages Using Vocabulary Matching
  144. Global Safe Sequential Learning via Efficient Knowledge Transfer
  145. Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networks
  146. Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation
  147. Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
  148. Closed-Form Bounds for DP-SGD against Record-level Inference
  149. Quantum Circuit Optimization with AlphaTensor
  150. Semantic Image Synthesis with Unconditional Generator
  151. Graph Parsing Networks
  152. Reading Relevant Feature from Global Representation Memory for Visual Object Tracking
  153. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
  154. Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search
  155. WindDragon: Enhancing wind power forecasting with Automated Deep Learning
  156. Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection
  157. Novi jezivcki modeli za srpski jezik
  158. Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
  159. HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
  160. Representation Learning for Frequent Subgraph Mining
  161. GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints
  162. Uncertainty-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation
  163. Dependable Distributed Training of Compressed Machine Learning Models
  164. An Error-Matching Exclusion Method for Accelerating Visual SLAM
  165. HyperFast: Instant Classification for Tabular Data
  166. INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models
  167. Accelerating data-driven algorithm selection for combinatorial partitioning problems
  168. Subobject-level Image Tokenization
  169. REPOFUSE: Repository-Level Code Completion with Fused Dual Context
  170. Place Anything into Any Video
  171. Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling
  172. Learning to Kern: Set-wise Estimation of Optimal Letter Space
  173. Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
  174. YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5
  175. An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes
  176. Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings
  177. Vision-Language Navigation with Embodied Intelligence: A Survey
  178. GenSERP: Large Language Models for Whole Page Presentation
  179. A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation
  180. Multi-modal Stance Detection: New Datasets and Model
  181. Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
  182. High-arity PAC learning via exchangeability
  183. Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
  184. CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations
  185. A Landmark-Aware Visual Navigation Dataset
  186. Secure Navigation using Landmark-based Localization in a GPS-denied Environment
  187. Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
  188. GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages
  189. Can Language Models Act as Knowledge Bases at Scale?
  190. Qsnail: A Questionnaire Dataset for Sequential Question Generation
  191. Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization
  192. Can Large Language Models Detect Misinformation in Scientific News Reporting?
  193. Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
  194. Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
  195. Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond
  196. Eagle: Ethical Dataset Given from Real Interactions
  197. A hierarchical decomposition for explaining ML performance discrepancies
  198. MVD2: Efficient Multiview 3D Reconstruction for Multiview Diffusion
  199. Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Training
  200. A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets
  201. MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
  202. Sample-Efficient Linear Regression with Self-Selection Bias
  203. Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion
  204. Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News
  205. Estimating Unknown Population Sizes Using the Hypergeometric Distribution
  206. Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding
  207. Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
  208. Moonwalk: Inverse-Forward Differentiation
  209. LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
  210. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
  211. Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer
  212. Comparing Graph Transformers via Positional Encodings
  213. Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models
  214. Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
  215. Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
  216. From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter
  217. HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention
  218. Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting
  219. Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization