mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 24 May 2023

522 papers

  1. Think Before You Act: Decision Transformers with Working MemoryLLM reasoning → Reasoning for agents, planning and code +1
  2. Matrix Estimation for Offline Reinforcement Learning with Low-Rank StructureOffline RL and imitation learning from data → Offline RL algorithms
  3. Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion ModelsDiffusion models → Flow matching, time series and science
  4. Manifold Diffusion FieldsDiffusion models → Diffusion foundations and sampling
  5. Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsDiffusion models → Diffusion foundations and sampling
  6. Unsupervised Semantic Correspondence Using Stable DiffusionDiffusion models → Image generation, text-to-image and editing
  7. Harnessing the Power of Large Language Models for Natural Language to First-Order Logic TranslationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  8. SPRING: Studying the Paper and Reasoning to Play GamesLLM reasoning → Reasoning for agents, planning and code
  9. Towards Revealing the Mystery behind Chain of Thought: A Theoretical PerspectiveLLM reasoning → Prompting and chain-of-thought reasoning
  10. Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast SetsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  11. Sin3DM: Learning a Diffusion Model from a Single 3D Textured ShapeDiffusion models → 3D, point cloud and scene generation
  12. Differentially-Private Decision Trees and Provable Robustness to Data PoisoningLLM safety and security → Membership inference attacks
  13. Inverse Preference Learning: Preference-based RL without a Reward FunctionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  14. Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  15. A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic CorrespondenceDiffusion models → Image generation, text-to-image and editing
  16. Learning Answer Generation using Supervision from Automatic Question Answering EvaluatorsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  17. Gorilla: Large Language Model Connected with Massive APIsLLM reasoning → Reasoning benchmarks and evaluation +1
  18. Training on Thin Air: Improve Image Classification with Generated DataDiffusion models → Image generation, text-to-image and editing
  19. MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image GenerationDiffusion models → Image generation, text-to-image and editing
  20. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  21. Revisiting Token Dropping Strategy in Efficient BERT PretrainingEfficient LLM inference and serving → Early exit and edge inference
  22. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesLLM reasoning → Reasoning benchmarks and evaluation
  23. Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought DeteriorationLLM reasoning → Reasoning benchmarks and evaluation
  24. Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
  25. Machine Unlearning: its nature, scope, and importance for a "delete culture"LLM safety and security → Machine unlearning
  26. Robust Classification via a Single Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
  27. L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion PriorsDiffusion models → Image generation, text-to-image and editing
  28. DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  29. Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View ReconstructionDiffusion models → 3D, point cloud and scene generation
  30. Unpaired Image-to-Image Translation via Neural Schr"odinger BridgeDiffusion models → Diffusion foundations and sampling
  31. HuatuoGPT, towards Taming Language Model to Be a DoctorLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  32. Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language ModelsLLM reasoning → Mathematical reasoning
  33. PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of PathologyMultimodal LLMs / vision-language models → Medical vision-language models
  34. Who Wrote this Code? Watermarking for Code GenerationLLM safety and security → Watermarking generated content and models
  35. A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation AnalysisLLM reasoning → Mathematical reasoning
  36. Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social ScienceSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  37. Self-ICL: Zero-Shot In-Context Learning with Self-Generated DemonstrationsSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
  38. SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  39. How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation ObjectivesKnowledge distillation → Knowledge distillation for LLMs
  40. Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog GenerationDiffusion models → Discrete and text diffusion
  41. EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of ThoughtLLM reasoning → Spatial and embodied reasoning +1
  42. Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic SystemsLLM reasoning → Mathematical reasoning
  43. Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning LogicLLM reasoning → Knowledge- and tool-augmented reasoning
  44. The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  45. Reasoning with Language Model is Planning with World ModelWorld models → World models for language agents +1
  46. IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language ModelsLLM reasoning → Multimodal reasoning
  47. Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  48. Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  49. Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting JailbreaksLLM safety and security → Jailbreaking
  50. GRACE: Discriminator-Guided Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  51. Aligning Language Models to User OpinionsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  52. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningWorld models → World models for language agents
  53. Text encoders bottleneck compositionality in contrastive vision-language modelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  54. HARD: Hard Augmentations for Robust DistillationKnowledge distillation → General knowledge distillation methods
  55. Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  56. ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text GamesWorld models → World models for language agents
  57. CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
  58. Just CHOP: Embarrassingly Simple LLM CompressionLLM reasoning → Test-time compute and efficient thinking
  59. Sharpness-Aware Data Poisoning AttackLLM safety and security → Backdoor and data poisoning attacks
  60. Deakin RF-Sensing: Experiments on Correlated Knowledge Distillation for Monitoring Human Postures with RadiosKnowledge distillation → Detection and dense prediction distillation
  61. Large Language Models are In-Context Semantic Reasoners rather than Symbolic ReasonersLLM reasoning → Reasoning benchmarks and evaluation
  62. Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  63. Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  64. UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  65. ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space ManipulationDiffusion models → Image generation, text-to-image and editing
  66. I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual MetaphorsDiffusion models → Image generation, text-to-image and editing
  67. Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  68. On the Generalization of Diffusion ModelDiffusion models → Diffusion foundations and sampling
  69. Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  70. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsMixture-of-experts → MoE large language models
  71. AdvFunMatch: When Consistent Teaching Meets Adversarial RobustnessKnowledge distillation → Federated, robust and private distillation
  72. ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  73. TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  74. Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  75. GRILL: Grounded Vision-language Pre-training via Aligning Text and Image RegionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  76. T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual ModalitiesDiffusion models → Diffusion foundations and sampling
  77. A Survey of Diffusion Models in Natural Language ProcessingDiffusion models → Discrete and text diffusion
  78. KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving TasksWorld models → World models for autonomous driving +1
  79. Getting MoRE out of Mixture of Language Model Reasoning ExpertsLLM reasoning → Reasoning benchmarks and evaluation
  80. KNN-LM Does Not Improve Open-ended Text GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  81. Abductive Commonsense Reasoning Exploiting Mutually Exclusive ExplanationsLLM reasoning → Reasoning benchmarks and evaluation
  82. Inverse Reinforcement Learning with the Average Reward CriterionOffline RL and imitation learning from data → Inverse reinforcement learning
  83. Classic machine learning methods
  84. Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations
  85. ATLAS: Automatically Detecting Discrepancies Between Privacy Policies and Privacy Labels
  86. Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data
  87. Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
  88. Generative Adversarial Shaders for Real-Time Realism Enhancement
  89. CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network
  90. Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics
  91. Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators
  92. #REVAL: a semantic evaluation framework for hashtag recommendation
  93. Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
  94. Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
  95. Lexinvariant Language Models
  96. Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
  97. Prompt Evolution for Generative AI: A Classifier-Guided Approach
  98. Artificial Intelligence-Based Methods for Precision Medicine: Diabetes Risk Prediction
  99. Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs
  100. A Distributed Automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem
All 522
  1. InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
  2. TaxoKnow: Taxonomy as Prior Knowledge in the Loss Function of Multi-class Classification
  3. Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
  4. Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs
  5. ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging
  6. Reversible and irreversible bracket-based dynamics for deep graph neural networks
  7. Reverse Engineering Self-Supervised Learning
  8. On Learning Deep O(n)-Equivariant Hyperspheres
  9. Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
  10. Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective
  11. Semantic Segmentation by Semantic Proportions
  12. Revisiting Sentence Union Generation as a Testbed for Text Consolidation
  13. Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks
  14. Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness
  15. ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
  16. Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
  17. Distributed Online Rollout for Multivehicle Routing in Unmapped Environments
  18. Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
  19. Lightweight Learner for Shared Knowledge Lifelong Learning
  20. How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks
  21. Understanding Label Bias in Single Positive Multi-Label Learning
  22. Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer
  23. Minimizing f-Divergences by Interpolating Velocity Fields
  24. Deep Stochastic Processes via Functional Markov Transition Operators
  25. The Behavior and Convergence of Local Bayesian Optimization
  26. Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures
  27. Fantastic DNN Classifiers and How to Identify them without Data
  28. Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation
  29. Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  30. Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints
  31. Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence
  32. Deep Reinforcement Learning with Plasticity Injection
  33. Malicious or Benign? Towards Effective Content Moderation for Children's Videos
  34. Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
  35. Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics
  36. TOAST: Transfer Learning via Attention Steering
  37. Post-processing Private Synthetic Data for Improving Utility on Selected Measures
  38. RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models
  39. From Interactive to Co-Constructive Task Learning
  40. Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems
  41. Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners
  42. Editable Graph Neural Network for Node Classifications
  43. Large Language Models are Few-Shot Health Learners
  44. Task-aware Distributed Source Coding under Dynamic Bandwidth
  45. Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction
  46. Free Lunch for Efficient Textual Commonsense Integration in Language Models
  47. How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
  48. The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python
  49. Deriving Language Models from Masked Language Models
  50. Neural network reconstruction of cosmology using the Pantheon compilation
  51. Large Language Models for User Interest Journeys
  52. Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds
  53. Weakly Supervised Vision-and-Language Pre-training with Relative Representations
  54. Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs
  55. Adaptive Data Analysis in a Balanced Adversarial Model
  56. Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids
  57. PromptNER: Prompting For Named Entity Recognition
  58. Textless Speech-to-Speech Translation With Limited Parallel Data
  59. RoMa: Robust Dense Feature Matching
  60. AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation
  61. LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
  62. A Neural Space-Time Representation for Text-to-Image Personalization
  63. Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution
  64. Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
  65. Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR
  66. Behavior quantification as the missing link between fields: Tools for digital psychiatry and their role in the future of neurobiology
  67. On the Minimax Regret for Online Learning with Feedback Graphs
  68. Theorem Proving in Dependently-Typed Higher-Order Logic -- Extended Preprint
  69. Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages
  70. Uncovering and Quantifying Social Biases in Code Generation
  71. ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction
  72. Learning high-level visual representations from a child's perspective without strong inductive biases
  73. Stochastic Unrolled Federated Learning
  74. SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation
  75. Boundary Attention Mapping (BAM): Fine-grained saliency maps for segmentation of Burn Injuries
  76. Context-Aware Transformer Pre-Training for Answer Sentence Selection
  77. Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization
  78. A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models
  79. Optimal Rates for Bandit Nonstochastic Control
  80. On the Convergence of Black-Box Variational Inference
  81. READ: Recurrent Adaptation of Large Transformers
  82. Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models
  83. Bayesian calibration of differentiable agent-based models
  84. Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
  85. A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space
  86. Breaking the Curse of Quality Saturation with User-Centric Ranking
  87. No-Regret Online Prediction with Strategic Experts
  88. Visual Programming for Text-to-Image Generation and Evaluation
  89. Statistical post-processing of visibility ensemble forecasts
  90. Model evaluation for extreme risks
  91. Towards Foundation Models for Relational Databases [Vision Paper]
  92. "What if?" in Probabilistic Logic Programming
  93. Personalized Dictionary Learning for Heterogeneous Datasets
  94. Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation
  95. Science in the Era of ChatGPT, Large Language Models and Generative AI: Challenges for Research Ethics and How to Respond
  96. The Crucial Role of Normalization in Sharpness-Aware Minimization
  97. Replicable Reinforcement Learning
  98. High Speed Human Action Recognition using a Photonic Reservoir Computer
  99. A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
  100. Successor-Predecessor Intrinsic Exploration
  101. Sparse Mean Estimation in Adversarial Settings via Incremental Learning
  102. Self-Evolution Learning for Discriminative Language Model Pretraining
  103. ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
  104. Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
  105. EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
  106. Training Energy-Based Normalizing Flow with Score-Matching Objectives
  107. Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
  108. Error Feedback Shines when Features are Rare
  109. Discounting in Strategy Logic
  110. Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
  111. Attention to Mean-Fields for Particle Cloud Generation
  112. Rethinking the Evaluation Protocol of Domain Generalization
  113. Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
  114. Delving Deeper into Data Scaling in Masked Image Modeling
  115. Deep Learning and Ethics
  116. On the road to more accurate mobile cellular traffic predictions
  117. Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance
  118. Short and Straight: Geodesics on Differentiable Manifolds
  119. Real time dense anomaly detection by learning on synthetic negative data
  120. SAIL: Search-Augmented Instruction Learning
  121. Neural Summarization of Electronic Health Records
  122. Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata
  123. DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection
  124. Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
  125. Shadow Cones: A Generalized Framework for Partial Order Embeddings
  126. GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation
  127. Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning
  128. Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
  129. Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
  130. Promoting Generalization in Cross-Dataset Remote Photoplethysmography
  131. Feature-aligned N-BEATS with Sinkhorn divergence
  132. Adaptive Policy Learning to Additional Tasks
  133. Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
  134. Optimal Control of Nonlinear Systems with Unknown Dynamics
  135. Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study
  136. SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation
  137. Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
  138. HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
  139. Uncertainty Voting Ensemble for Imbalanced Deep Regression
  140. Pre-training Multi-party Dialogue Models with Latent Discourse Inference
  141. Simultaneous identification of models and parameters of scientific simulators
  142. Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
  143. Personalized DP-SGD using Sampling Mechanisms
  144. Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
  145. Momentum Provably Improves Error Feedback!
  146. Clinically Labeled Contrastive Learning for OCT Biomarker Classification
  147. Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower
  148. Theoretically Principled Federated Learning for Balancing Privacy and Utility
  149. From Tempered to Benign Overfitting in ReLU Neural Networks
  150. Topic-Guided Self-Introduction Generation for Social Media Users
  151. ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
  152. Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
  153. On Degrees of Freedom in Defining and Testing Natural Language Understanding
  154. Beyond Individual Input for Deep Anomaly Detection on Tabular Data
  155. Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
  156. Fairness in Streaming Submodular Maximization over a Matroid Constraint
  157. Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback
  158. A Mini Review on the utilization of Reinforcement Learning with OPC UA
  159. Reconstruction, forecasting, and stability of chaotic dynamics from partial data
  160. Guessing Winning Policies in LTL Synthesis by Semantic Learning
  161. The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
  162. Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator
  163. Referral Augmentation for Zero-Shot Information Retrieval
  164. Computer Vision for Construction Progress Monitoring: A Real-Time Object Detection Approach
  165. Dynamic Masking Rate Schedules for MLM Pretraining
  166. InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields
  167. C-STS: Conditional Semantic Textual Similarity
  168. FedZero: Leveraging Renewable Excess Energy in Federated Learning
  169. Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph
  170. STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
  171. Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples
  172. Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
  173. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
  174. Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
  175. UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
  176. Contrastive Learning of Sentence Embeddings from Scratch
  177. Meta-Learning Online Adaptation of Language Models
  178. Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions
  179. ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind
  180. Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
  181. GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
  182. Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
  183. AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models
  184. Lawyer LLaMA Technical Report
  185. Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective
  186. Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
  187. Iteratively Improving Speech Recognition and Voice Conversion
  188. Decomposing Complex Queries for Tip-of-the-tongue Retrieval
  189. A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction
  190. Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation
  191. Ghostbuster: Detecting Text Ghostwritten by Large Language Models
  192. SETI: Systematicity Evaluation of Textual Inference
  193. Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks
  194. Test like you Train in Implicit Deep Learning
  195. Active Learning for Natural Language Generation
  196. Is GPT-4 a Good Data Analyst?
  197. Make Lossy Compression Meaningful for Low-Light Images
  198. ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
  199. A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
  200. Transferring Visual Attributes from Natural Language to Verified Image Generation
  201. ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification
  202. Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
  203. Hierarchical clustering with dot products recovers hidden tree structure
  204. An Efficient Multilingual Language Model Compression through Vocabulary Trimming
  205. Estimating class separability of text embeddings with persistent homology
  206. Measuring Faithful and Plausible Visual Grounding in VQA
  207. Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function
  208. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation
  209. Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous Substitution
  210. Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization
  211. A Human-in-the-Loop Approach for Information Extraction from Privacy Policies under Data Scarcity
  212. Sentiment Analysis in the Era of Large Language Models: A Reality Check
  213. LLMDet: A Third Party Large Language Models Generated Text Detection Tool
  214. A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
  215. Contrastive Training of Complex-Valued Autoencoders for Object Discovery
  216. An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
  217. The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
  218. RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
  219. Controlling Pre-trained Language Models for Grade-Specific Text Simplification
  220. MuLER: Detailed and Scalable Reference-based Evaluation
  221. Dolphin: A Challenging and Diverse Benchmark for Arabic NLG
  222. Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios
  223. Non-adversarial Robustness of Deep Learning Methods for Computer Vision
  224. Adversarial robustness of amortized Bayesian inference
  225. LAraBench: Benchmarking Arabic AI with Large Language Models
  226. Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
  227. Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
  228. Probabilistic Exponential Integrators
  229. Sampling-based Uncertainty Estimation for an Instance Segmentation Network
  230. GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP
  231. Block-local learning with probabilistic latent representations
  232. OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning
  233. MMNet: Multi-Mask Network for Referring Image Segmentation
  234. Detecting Multidimensional Political Incivility on Social Media
  235. PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification
  236. ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
  237. Deep Learning for Survival Analysis: A Review
  238. Editing Common Sense in Transformers
  239. DC-Net: Divide-and-Conquer for Salient Object Detection
  240. Focus Your Attention (with Adaptive IIR Filters)
  241. DSFFNet: Dual-Side Feature Fusion Network for 3D Pose Transfer
  242. Adversarial Demonstration Attacks on Large Language Models
  243. Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages
  244. Music Representing Corpus Virtual: An Open Sourced Library for Explorative Music Generation, Sound Design, and Instrument Creation with Artificial Intelligence and Machine Learning
  245. How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
  246. Learning Rate Free Sampling in Constrained Domains
  247. Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
  248. A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
  249. Trade-Offs Between Fairness and Privacy in Language Modeling
  250. Modeling Appropriate Language in Argumentation
  251. In-Context Impersonation Reveals Large Language Models' Strengths and Biases
  252. Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
  253. Universal Self-Adaptive Prompting
  254. Frugal Prompting for Dialog Models
  255. Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion
  256. Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of Dutch Clause Relativization
  257. Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
  258. GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data
  259. CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
  260. SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
  261. From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
  262. PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
  263. Coverage-based Example Selection for In-Context Learning
  264. Identifying Informational Sources in News Articles
  265. M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
  266. Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering
  267. PIVOINE: Instruction Tuning for Open-world Information Extraction
  268. Extracting Psychological Indicators Using Question Answering
  269. Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory
  270. Privacy Implications of Retrieval-Based Language Models
  271. Towards View-invariant and Accurate Loop Detection Based on Scene Graph
  272. Multiresolution Feature Guidance Based Transformer for Anomaly Detection
  273. Leveraging GPT-4 for Automatic Translation Post-Editing
  274. Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
  275. Reconstructive Neuron Pruning for Backdoor Defense
  276. From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions
  277. Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
  278. ClusterLLM: Large Language Models as a Guide for Text Clustering
  279. Utility-Probability Duality of Neural Networks
  280. Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
  281. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
  282. Optimization-Based Improvement of Face Image Quality Assessment Techniques
  283. Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
  284. DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
  285. Drafting Event Schemas using Language Models
  286. Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
  287. Meta-learning For Vision-and-language Cross-lingual Transfer
  288. Exploring Sentiment Analysis Techniques in Natural Language Processing: A Comprehensive Review
  289. Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning
  290. Predicting Token Impact Towards Efficient Vision Transformer
  291. PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
  292. ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
  293. NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
  294. SummIt: Iterative Text Summarization via ChatGPT
  295. OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields
  296. Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
  297. Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
  298. Building Transportation Foundation Model via Generative Graph Transformer
  299. Mitigating Temporal Misalignment by Discarding Outdated Facts
  300. Can Copyright be Reduced to Privacy?
  301. Provable Offline Preference-Based Reinforcement Learning
  302. Machine Reading Comprehension using Case-based Reasoning
  303. What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
  304. Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
  305. AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content
  306. Estimating Large Language Model Capabilities without Labeled Test Data
  307. Exploring Diverse In-Context Configurations for Image Captioning
  308. MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  309. Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
  310. Faithful Low-Resource Data-to-Text Generation through Cycle Training
  311. Prompting Large Language Models for Counterfactual Generation: An Empirical Study
  312. Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark
  313. Adapting Language Models to Compress Contexts
  314. Polarimetric Imaging for Perception
  315. Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
  316. Anthropomorphization of AI: Opportunities and Risks
  317. Disentangled Phonetic Representation for Chinese Spelling Correction
  318. IBCL: Zero-shot Model Generation under Stability-Plasticity Trade-offs
  319. Alt-Text with Context: Improving Accessibility for Images on Twitter
  320. Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
  321. Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models
  322. A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents
  323. David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
  324. Using Natural Language Explanations to Rescale Human Judgments
  325. Dual Path Transformer with Partition Attention
  326. Allies: Prompting Large Language Model with Beam Search
  327. Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
  328. Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning
  329. Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization
  330. MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
  331. Psychological Metrics for Dialog System Evaluation
  332. Don't Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewriting
  333. SUVR: A Search-based Approach to Unsupervised Visual Representation Learning
  334. A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
  335. DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
  336. Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation
  337. gRNAde: Geometric Deep Learning for 3D RNA inverse design
  338. Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
  339. Applications of Machine Learning in Detecting Afghan Fake Banknotes
  340. ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
  341. Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
  342. Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
  343. Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
  344. Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation
  345. AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras
  346. BinaryViT: Towards Efficient and Accurate Binary Vision Transformers
  347. SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language Representations
  348. In-Context Demonstration Selection with Cross Entropy Difference
  349. AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
  350. Continuous Cross-resolution Remote Sensing Image Change Detection
  351. BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
  352. CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions
  353. Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling
  354. GlobalBench: A Benchmark for Global Progress in Natural Language Processing
  355. Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
  356. Streaming Object Detection on Fisheye Cameras for Automatic Parking
  357. Gender Biases in Automatic Evaluation Metrics for Image Captioning
  358. Regret Matching+: (In)Stability and Fast Convergence in Games
  359. EgoVSR: Towards High-Quality Egocentric Video Super-Resolution
  360. SciFix: Outperforming GPT3 on Scientific Factual Error Correction
  361. PruMUX: Augmenting Data Multiplexing with Model Compression
  362. Practical Batch Bayesian Sampling Algorithms for Online Adaptive Traffic Experimentation
  363. DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4
  364. Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
  365. Can Transformers Learn to Solve Problems Recursively?
  366. SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
  367. A Causal View of Entity Bias in (Large) Language Models
  368. Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs
  369. Label-Efficient Learning in Agriculture: A Comprehensive Review
  370. Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
  371. Least Squares Regression Can Exhibit Under-Parameterized Double Descent
  372. Collaborative Auto-encoding for Blind Image Quality Assessment
  373. On progressive sharpening, flat minima and generalisation
  374. Emergent inabilities? Inverse scaling over the course of pretraining
  375. Dynamic Borrowing Method for Historical Information Using a Frequentist Approach for Hybrid Control Design
  376. TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation
  377. ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images
  378. Quantifying Character Similarity with Vision Transformers
  379. NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution
  380. NOVUM: Neural Object Volumes for Robust Object Classification
  381. You Are What You Annotate: Towards Better Models through Annotator Representations
  382. Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction
  383. InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction
  384. Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response
  385. Dealing with Cross-Task Class Discrimination in Online Continual Learning
  386. RSRM: Reinforcement Symbolic Regression Machine
  387. Learning Survival Distribution with Implicit Survival Function
  388. Barkour: Benchmarking Animal-level Agility with Quadruped Robots
  389. Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion
  390. Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
  391. A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
  392. Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
  393. Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization
  394. Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
  395. Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
  396. Learning UI-to-Code Reverse Generator Using Visual Critic Without Rendering
  397. CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation
  398. Supermodular Rank: Set Function Decomposition and Optimization
  399. Testing Causal Models of Word Meaning in GPT-3 and -4
  400. Enabling Large Language Models to Generate Text with Citations
  401. Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
  402. EXnet: Efficient In-context Learning for Data-less Text classification
  403. Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
  404. COMET-M: Reasoning about Multiple Events in Complex Sentences
  405. Exploring Affordance and Situated Meaning in Image Captions: A Multimodal Analysis
  406. Selectively Answering Ambiguous Questions
  407. Assessment of Anterior Cruciate Ligament Injury Risk Based on Human Key Points Detection Algorithm
  408. This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models
  409. Taylor Learning
  410. OpenPI2.0: An Improved Dataset for Entity Tracking in Texts
  411. FaceFusion: Exploiting Full Spectrum of Multiple Datasets
  412. Learning Semantic Role Labeling from Compatible Label Sequences
  413. Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
  414. Vision + Language Applications: A Survey
  415. Voices of Her: Analyzing Gender Differences in the AI Publication World
  416. Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy
  417. Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry
  418. torchgfn: A PyTorch GFlowNet library
  419. Discriminative calibration: Check Bayesian computation from simulations and flexible classifier
  420. Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
  421. ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers
  422. RE2: Region-Aware Relation Extraction from Visually Rich Documents