mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 23 May 2023

490 papers

  1. TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human SkillsMechanistic interpretability → Knowledge and representations inside LLMs
  2. ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  3. OlaGPT: Empowering LLMs With Human-like Problem-Solving AbilitiesLLM reasoning → Reasoning benchmarks and evaluation
  4. Learning from demonstrations: An intuitive VR environment for imitation learning of construction robotsOffline RL and imitation learning from data → Imitation learning methods
  5. Few-shot Unified Question Answering: Tuning Models or Prompts?LLM reasoning → Prompting and chain-of-thought reasoning
  6. PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long DocumentsLLM reasoning → Prompting and chain-of-thought reasoning
  7. When should we prefer Decision Transformers for Offline Reinforcement Learning?Offline RL and imitation learning from data → Decision transformers and sequence modeling
  8. LLMs as Factual Reasoners: Insights from Existing Benchmarks and BeyondLLM reasoning → Reasoning benchmarks and evaluation
  9. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsLLM reasoning → Mathematical reasoning
  10. Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  11. Self-Polish: Enhance Reasoning in Large Language Models via Problem RefinementLLM reasoning → Prompting and chain-of-thought reasoning
  12. Language Model Self-improvement by Reinforcement Learning ContemplationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  13. Pre-training Language Models for Comparative ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  14. Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet ExtractionLLM reasoning → Audio-language model reasoning
  15. Diffusion Hyperfeatures: Searching Through Time and Space for Semantic CorrespondenceDiffusion models → Image generation, text-to-image and editing
  16. Automatic Model Selection with Large Language Models for ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  17. Improving Factuality and Reasoning in Language Models through Multiagent DebateLLM reasoning → Reasoning benchmarks and evaluation
  18. ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  19. CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  20. LLM-powered Data Augmentation for Enhanced Cross-lingual PerformanceLLM reasoning → Reasoning benchmarks and evaluation
  21. Query Rewriting for Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration
  22. Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMsLLM reasoning → Test-time compute and efficient thinking
  23. SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  24. HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale SupervisionLLM reasoning → Knowledge- and tool-augmented reasoning
  25. Co-Learning Empirical Games and World ModelsWorld models → World models for language agents
  26. Exploring Chain-of-Thought Style Prompting for Text-to-SQLLLM reasoning → Prompting and chain-of-thought reasoning
  27. Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual DatabaseLLM reasoning → Knowledge- and tool-augmented reasoning
  28. DetGPT: Detect What You Need via ReasoningLLM reasoning → Multimodal reasoning
  29. Improved Convergence of Score-Based Diffusion Models via Prediction-CorrectionDiffusion models → Diffusion foundations and sampling
  30. Better Zero-Shot Reasoning with Self-Adaptive PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  31. S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist CaptionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  32. Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningWorld models → World models for language agents +1
  33. Parts of Speech-Grounded Subspaces in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  34. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningLLM reasoning → Prompting and chain-of-thought reasoning
  35. Realistic Noise Synthesis with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  36. CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  37. Improving Language Models via Plug-and-Play Retrieval FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  38. Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language ModelMixture-of-experts → MoE large language models
  39. Condensing Multilingual Knowledge with Lightweight Language-Specific ModulesMixture-of-experts → MoE large language models
  40. Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information ExtractionLLM reasoning → Reasoning benchmarks and evaluation
  41. Decoupled Kullback-Leibler Divergence LossKnowledge distillation → General knowledge distillation methods
  42. Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  43. Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-ThoughtLLM reasoning → Multimodal reasoning
  44. Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language UnderstandingKnowledge distillation → Speech and audio distillation
  45. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningLLM reasoning → Prompting and chain-of-thought reasoning
  46. Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image ModelsDiffusion models → Robustness, privacy and adversarial aspects
  47. Jailbreaking ChatGPT via Prompt Engineering: An Empirical StudyLLM safety and security → Jailbreaking
  48. Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback LearningDiffusion models → Video generation
  49. "Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational ImplicaturesLLM reasoning → Prompting and chain-of-thought reasoning
  50. WaveDM: Wavelet-Based Diffusion Models for Image RestorationDiffusion models → Inverse problems and image restoration
  51. Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language CompositionalityMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  52. OER: Offline Experience Replay for Continual Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  53. NORM: Knowledge Distillation via N-to-One Representation MatchingKnowledge distillation → General knowledge distillation methods
  54. Generalizable Synthetic Image Detection via Language-guided Contrastive LearningDiffusion models → Image generation, text-to-image and editing
  55. SE-Bridge: Speech Enhancement with Consistent Brownian BridgeDiffusion models → Audio, speech and music
  56. Perception Test: A Diagnostic Benchmark for Multimodal Video ModelsLLM reasoning → Multimodal reasoning
  57. Enhanced Fine-grained Motion Diffusion for Text-driven Human Motion SynthesisDiffusion models → Video generation
  58. Aligning Large Language Models through Synthetic FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  59. Exploring Self-supervised Logic-enhanced Training for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  60. DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  61. Few-Shot Data Synthesis for Open Domain Multi-Hop Question AnsweringSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  62. iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
  63. LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language ModelsDiffusion models → Image generation, text-to-image and editing
  64. DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy ProtectionDiffusion models → Robustness, privacy and adversarial aspects
  65. FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion ModelsDiffusion models → Audio, speech and music
  66. Query Structure Modeling for Inductive Logical Reasoning Over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  67. Towards clinical translation of deep-learning based classification of DSA image sequences for stroke treatment
  68. DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
  69. Sequential Graph Neural Networks for Source Code Vulnerability Identification
  70. Training Priors Predict Text-To-Image Model Performance
  71. Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?
  72. Mitigating Test-Time Bias for Fair Image Retrieval
  73. Automated spacing measurement of formwork system members with 3D point cloud data
  74. Embrace Opportunities and Face Challenges: Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning
  75. A Study on Deep CNN Structures for Defect Detection From Laser Ultrasonic Visualization Testing Images
  76. BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation
  77. Regex-augmented Domain Transfer Topic Classification based on a Pre-trained Language Model: An application in Financial Domain
  78. survAIval: Survival Analysis with the Eyes of AI
  79. A Semi-Supervised Learning Approach for Ranging Error Mitigation Based on UWB Waveform
  80. Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification
  81. Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning
  82. CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
  83. Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures
  84. Handling Realistic Label Noise in BERT Text Classification
  85. Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering
  86. Inverse square Levy walk emerging universally in goal-oriented tasks
  87. Improving few-shot learning-based protein engineering with evolutionary sampling
  88. On the robust learning mixtures of linear regressions
  89. SyNDock: N Rigid Protein Docking via Learnable Group Synchronization
  90. Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
  91. Evaluating end-to-end entity linking on domain-specific knowledge bases: Learning about ancient technologies from museum collections
  92. Contextualized Topic Coherence Metrics
  93. Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
  94. Natural Language Decompositions of Implicit Content Enable Better Text Representations
  95. Interpretation of Time-Series Deep Models: A Survey
  96. Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person
  97. Real-Time Idling Vehicles Detection using Combined Audio-Visual Deep Learning
  98. Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?
  99. Difference-Masking: Choosing What to Mask in Continued Pretraining
  100. Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
All 490
  1. Towards Early Prediction of Human iPSC Reprogramming Success
  2. Detecting and Mitigating Indirect Stereotypes in Word Embeddings
  3. From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
  4. GO-LDA: Generalised Optimal Linear Discriminant Analysis
  5. Memory Efficient Neural Processes via Constant Memory Attention Block
  6. An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level
  7. GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing
  8. NeFT: Negative Feedback Training to Improve Robustness of Compute-In-Memory DNN Accelerators
  9. Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotations
  10. All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations
  11. Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications
  12. Sources of Hallucination by Large Language Models on Inference Tasks
  13. Exploring Semantic Variations in GAN Latent Spaces via Matrix Factorization
  14. Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization
  15. Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training
  16. On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications
  17. Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
  18. Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation
  19. Disincentivizing Polarization in Social Networks
  20. Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
  21. Detecting Propaganda Techniques in Code-Switched Social Media Text
  22. How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation
  23. Function Basis Encoding of Numerical Features in Factorization Machines
  24. Slovo: Russian Sign Language Dataset
  25. Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
  26. CongFu: Conditional Graph Fusion for Drug Synergy Prediction
  27. Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces
  28. Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient
  29. RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
  30. NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders
  31. Optimal Confidence Intervals via Moderate Deviations Theory
  32. Do prompt positions really matter?
  33. Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
  34. Are Large Language Models Robust Coreference Resolvers?
  35. Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud
  36. Knowledge Graphs Querying
  37. Is a Prestigious Job the same as a Prestigious Country? A Case Study on Multilingual Sentence Embeddings and European Countries
  38. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
  39. BAND: Biomedical Alert News Dataset
  40. A Block-Coordinate Approach of Multi-level Optimization with an Application to Physics-Informed Neural Networks
  41. CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains
  42. Integrated Object Deformation and Contact Patch Estimation from Visuo-Tactile Feedback
  43. Run Like a Girl! Sports-Related Gender Bias in Language and Vision
  44. FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery
  45. ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
  46. Sorted Convolutional Network for Achieving Continuous Rotational Invariance
  47. Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control
  48. Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA
  49. Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
  50. An Improved Variational Approximate Posterior for the Deep Wishart Process
  51. On Robustness of Finetuned Transformer-based NLP Models
  52. Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
  53. Kernel Interpolation with Sparse Grids
  54. An Empirical Study on Information Extraction using Large Language Models
  55. Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
  56. Optimal Preconditioning and Fisher Adaptive Langevin Sampling
  57. Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
  58. Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
  59. Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
  60. Evolution: A Unified Formula for Feature Operators from a High-level Perspective
  61. Deep Learning based Forecasting: a case study from the online fashion industry
  62. NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference
  63. Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI
  64. Layer-adaptive Structured Pruning Guided by Latency
  65. Enhancing Speech Emotion Recognition Through Differentiable Architecture Search
  66. Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning
  67. FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software
  68. Towards credible visual model interpretation with path attribution
  69. Unsupervised Spiking Neural Network Model of Prefrontal Cortex to study Task Switching with Synaptic deficiency
  70. NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects
  71. Siamese Masked Autoencoders
  72. Video Prediction Models as Rewards for Reinforcement Learning
  73. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
  74. APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
  75. Anchor Prediction: Automatic Refinement of Internet Links
  76. Schema-Driven Information Extraction from Heterogeneous Tables
  77. Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation
  78. Evaluating and Modeling Attribution for Cross-Lingual Question Answering
  79. What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems
  80. DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation
  81. Benchmarking Machine Translation with Cultural Awareness
  82. Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
  83. TalkUp: Paving the Way for Understanding Empowering Language
  84. Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration
  85. RET-LLM: Towards a General Read-Write Memory for Large Language Models
  86. ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
  87. QLoRA: Efficient Finetuning of Quantized LLMs
  88. Text-guided 3D Human Generation from 2D Collections
  89. Statistical Indistinguishability of Learning Algorithms
  90. Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
  91. Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
  92. Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds
  93. QTSumm: Query-Focused Summarization over Tabular Data
  94. VIP5: Towards Multimodal Foundation Models for Recommendation
  95. A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
  96. Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
  97. MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking
  98. USB: A Unified Summarization Benchmark Across Tasks and Domains
  99. WebIE: Faithful and Robust Information Extraction on the Web
  100. WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
  101. Evaluation of African American Language Bias in Natural Language Generation
  102. Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
  103. INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback
  104. Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining
  105. Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer
  106. Variational Inference with Coverage Guarantees in Simulation-Based Inference
  107. Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers
  108. Masked Path Modeling for Vision-and-Language Navigation
  109. Active Learning Principles for In-Context Learning with Large Language Models
  110. LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages
  111. R2H: Building Multimodal Navigation Helpers that Respond to Help Requests
  112. SciMON: Scientific Inspiration Machines Optimized for Novelty
  113. Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
  114. Hierarchical Prompting Assists Large Language Model on Web Navigation
  115. Linear Cross-Lingual Mapping of Sentence Embeddings
  116. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
  117. Language Models with Rationality
  118. Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science
  119. Modeling Empathic Similarity in Personal Narratives
  120. Federated Prompt Learning for Weather Foundation Models on Devices
  121. Training Transitive and Commutative Multimodal Transformers with LoReTTa
  122. Revisiting Machine Translation for Cross-lingual Classification
  123. On Learning to Summarize with Large Language Models as References
  124. REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos
  125. Multilingual Large Language Models Are Not (Yet) Code-Switchers
  126. Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
  127. Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
  128. Exploring Representational Disparities Between Multilingual and Bilingual Translation Models
  129. Provably Learning Object-Centric Representations
  130. ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
  131. mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations
  132. Question Answering as Programming for Solving Time-Sensitive Questions
  133. DUBLIN -- Document Understanding By Language-Image Network
  134. Constrained Proximal Policy Optimization
  135. CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models
  136. Skill-Based Few-Shot Selection for In-Context Learning
  137. Domain Private Transformers for Multi-Domain Dialog Systems
  138. SAD: Segment Any RGBD
  139. μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge
  140. Improving the Gap in Visual Speech Recognition Between Normal and Silent Speech Based on Metric Learning
  141. Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata
  142. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks
  143. Accessing Higher Dimensions for Unsupervised Word Translation
  144. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
  145. HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations
  146. Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
  147. The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
  148. Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
  149. ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
  150. TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale
  151. In-Context Probing: Toward Building Robust Classifiers via Probing Large Language Models
  152. EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
  153. Impact of Light and Shadow on Robustness of Deep Neural Networks
  154. Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
  155. Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
  156. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  157. Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
  158. WYWEB: A NLP Evaluation Benchmark For Classical Chinese
  159. A multimodal method based on cross-attention and convolution for postoperative infection diagnosis
  160. Learning Remote Sensing Object Detection with Single Point Supervision
  161. Goodness of fit by Neyman-Pearson testing
  162. Reparo: Loss-Resilient Generative Codec for Video Conferencing
  163. Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
  164. GrACE: Generation using Associated Code Edits
  165. Dr.ICL: Demonstration-Retrieved In-context Learning
  166. To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
  167. When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
  168. Transferring Learning Trajectories of Neural Networks
  169. Learning Relevant Contextual Variables Within Bayesian Optimization
  170. Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings
  171. RLBoost: Boosting Supervised Models using Deep Reinforcement Learning
  172. On the Size and Approximation Error of Distilled Sets
  173. Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
  174. Federated Generalized Category Discovery
  175. CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
  176. Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
  177. Simulating News Recommendation Ecosystem for Fun and Profit
  178. ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
  179. Balancing Explainability-Accuracy of Complex Models
  180. QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems
  181. Sustainable Edge Intelligence Through Energy-Aware Early Exiting
  182. Weakly Supervised 3D Open-vocabulary Segmentation
  183. Revisiting Acceptability Judgements
  184. BM25 Query Augmentation Learned End-to-End
  185. Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
  186. How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have
  187. Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
  188. Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
  189. Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
  190. Message Intercommunication for Inductive Relation Reasoning
  191. Disentangled Variational Autoencoder for Emotion Recognition in Conversations
  192. Assessing Linguistic Generalisation in Language Models: A Dataset for Brazilian Portuguese
  193. Evaluating Factual Consistency of Summaries with Large Language Models
  194. DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder
  195. One-stop Training of Multiple Capacity Models
  196. Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
  197. Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
  198. Accelerated Coordinate Encoding: Learning to Relocalize in Minutes using RGB and Poses
  199. Can Language Models Understand Physical Concepts?
  200. Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
  201. Process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language
  202. Improving speech translation by fusing speech and text
  203. Learning a Single Convolutional Layer Model for Low Light Image Enhancement
  204. Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map
  205. Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?
  206. Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
  207. Does ChatGPT have Theory of Mind?
  208. ChipGPT: How far are we from natural language hardware design
  209. Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
  210. Faster Video Moment Retrieval with Point-Level Supervision
  211. Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
  212. When your Cousin has the Right Connections: Unsupervised Bilingual Lexicon Induction for Related Data-Imbalanced Languages
  213. IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
  214. Deep Pipeline Embeddings for AutoML
  215. Multi-Echo Denoising in Adverse Weather
  216. When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
  217. Multi-Granularity Prompts for Topic Shift Detection in Dialogue
  218. S=amayik: A Benchmark and Dataset for English-Sanskrit Translation
  219. SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
  220. Expressive Losses for Verified Robustness via Convex Combinations
  221. MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages
  222. On Structural Expressive Power of Graph Transformers
  223. Control of a simulated MRI scanner with deep reinforcement learning
  224. Effortless Integration of Memory Management into Open-Domain Conversation Systems
  225. Make a Choice! Knowledge Base Question Answering with In-Context Learning
  226. Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
  227. REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response
  228. CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation
  229. Metrics Matter in Surgical Phase Recognition
  230. From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
  231. Robust Prompt Optimization for Large Language Models Against Distribution Shifts
  232. Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation
  233. Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
  234. Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction
  235. Clustering Indices based Automatic Classification Model Selection
  236. Generating Data for Symbolic Language with Large Language Models
  237. DAPR: A Benchmark on Document-Aware Passage Retrieval
  238. A Deep Learning Approach for Generating Soft Range Information from RF Data
  239. Temporal Contrastive Learning for Spiking Neural Networks
  240. EfficientSpeech: An On-Device Text to Speech Model
  241. Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation
  242. WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning
  243. Deep Transductive Transfer Learning for Automatic Target Recognition
  244. Multi-Granularity Detector for Vulnerability Fixes
  245. Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
  246. Subsampling Error in Stochastic Gradient Langevin Diffusions
  247. Generalized Expectation Maximization Framework for Blind Image Super Resolution
  248. Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis
  249. Fair Differentially Private Federated Learning Framework
  250. NarrativeXL: A Large-scale Dataset For Long-Term Memory Models
  251. Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans
  252. Fair Oversampling Technique using Heterogeneous Clusters
  253. Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
  254. Improving Heterogeneous Model Reuse by Density Estimation
  255. Trend-Based SAC Beam Control Method with Zero-Shot in Superconducting Linear Accelerator
  256. Selective Pre-training for Private Fine-tuning
  257. MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
  258. Probing Brain Context-Sensitivity with Masked-Attention Generation
  259. A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
  260. Producing a Standard Dataset of Speed Climbing Training Videos Using Deep Learning Techniques
  261. Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation
  262. On the Optimal Batch Size for Byzantine-Robust Distributed Learning
  263. A Two-Step Deep Learning Method for 3DCT-2DUS Kidney Registration During Breathing
  264. The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
  265. Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
  266. Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
  267. Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation
  268. SAR-to-Optical Image Translation via Thermodynamics-inspired Network
  269. Reducing Sensitivity on Speaker Names for Text Generation from Dialogues
  270. ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models
  271. Learning from Mistakes via Cooperative Study Assistant for Large Language Models
  272. Continual Learning on Dynamic Graphs via Parameter Isolation
  273. Constrained Reinforcement Learning for Dynamic Material Handling
  274. XRoute Environment: A Novel Reinforcement Learning Environment for Routing
  275. GenSpectrum Chat: Data Exploration in Public Health Using Large Language Models
  276. An Open Dataset and Model for Language Identification
  277. Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing
  278. Leveraging BEV Representation for 360-degree Visual Place Recognition
  279. Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
  280. Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path
  281. Online Open-set Semi-supervised Object Detection with Dual Competing Head
  282. UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking
  283. SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
  284. Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
  285. Personalized Predictive ASR for Latency Reduction in Voice Assistants
  286. Can Large Language Models Capture Dissenting Human Voices?
  287. Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation
  288. Deep Reinforcement Learning-based Multi-objective Path Planning on the Off-road Terrain Environment for Ground Vehicles
  289. Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
  290. Full Resolution Repetition Counting
  291. VisorGPT: Learning Visual Prior via Generative Pre-Training
  292. Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
  293. Concept-aware Training Improves In-context Learning Ability of Language Models
  294. MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
  295. One-step differentiation of iterative algorithms
  296. Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
  297. Mitigating Label Noise through Data Ambiguation
  298. Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
  299. Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing
  300. Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
  301. Challenges in Context-Aware Neural Machine Translation
  302. Goal-Driven Explainable Clustering via Language Descriptions
  303. Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning
  304. L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning
  305. TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation
  306. i-Code Studio: A Configurable and Composable Framework for Integrative AI
  307. Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
  308. Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
  309. Conversational Recommendation as Retrieval: A Simple, Strong Baseline
  310. ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings
  311. PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training
  312. Continual Dialogue State Tracking via Example-Guided Question Answering
  313. BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR
  314. Covariate balancing using the integral probability metric for causal inference
  315. CALLS: Japanese Empathetic Dialogue Speech Corpus of Complaint Handling and Attentive Listening in Customer Center
  316. Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
  317. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models
  318. Using Textual Interface to Align External Knowledge for End-to-End Task-Oriented Dialogue Systems
  319. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
  320. Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
  321. FlowChroma -- A Deep Recurrent Neural Network for Video Colorization
  322. MemeCap: A Dataset for Captioning and Interpreting Memes
  323. Exploring Large Language Models for Classical Philology
  324. UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning
  325. Abstractive Text Summarization Using the BRIO Training Paradigm
  326. Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
  327. Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues
  328. Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
  329. Causal Intervention for Abstractive Related Work Generation
  330. mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
  331. Error Detection for Text-to-SQL Semantic Parsing
  332. GUARD: A Safe Reinforcement Learning Benchmark
  333. Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
  334. Towards Legally Enforceable Hate Speech Detection for Public Forums
  335. Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models
  336. Physics of Language Models: Part 1, Learning Hierarchical Language Structures
  337. Federated Variational Inference: Towards Improved Personalization and Generalization
  338. The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
  339. Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations
  340. Optimizing Non-Autoregressive Transformers with Contrastive Learning
  341. Dual Focal Loss for Calibration
  342. Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning
  343. On the Risk of Misinformation Pollution with Large Language Models
  344. Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
  345. Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification
  346. Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection
  347. ChatGPT as your Personal Data Scientist
  348. Link Prediction without Graph Neural Networks
  349. Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
  350. RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
  351. Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers
  352. Adversarial Defenses via Vector Quantization
  353. Robust Model-Based Optimization for Challenging Fitness Landscapes
  354. Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation
  355. An Autoencoder-based Snow Drought Index
  356. mPMR: A Multilingual Pre-trained Machine Reader at Scale
  357. Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet
  358. AxomiyaBERTa: A Phonologically-aware Transformer Model for Assamese
  359. IdEALS: Idiomatic Expressions for Advancement of Language Skills
  360. SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment
  361. Detecting and Mitigating Hallucinations in Multilingual Summarisation
  362. EDIS: Entity-Driven Image Search over Multimodal Web Content
  363. Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
  364. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning
  365. Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
  366. Validating Multimedia Content Moderation Software via Semantic Fusion
  367. Continual Learning with Strong Experience Replay
  368. A Dive into SAM Prior in Image Restoration
  369. SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
  370. LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation
  371. A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation
  372. VDD: Varied Drone Dataset for Semantic Segmentation
  373. Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation
  374. Adaptive Face Recognition Using Adversarial Information Network
  375. ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue
  376. SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
  377. Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint
  378. Neural Image Re-Exposure
  379. Understanding Programs by Exploiting (Fuzzing) Test Cases
  380. BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases
  381. Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator
  382. A Model Stealing Attack Against Multi-Exit Networks
  383. Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect Recognition
  384. Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
  385. Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach
  386. SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
  387. Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
  388. Cross-source Point Cloud Registration: Challenges, Progress and Prospects
  389. Efficient Multi-Scale Attention Module with Cross-Spatial Learning
  390. Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!