mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 18 Oct 2023

238 papers

  1. REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language ModelsLLM safety and security → Watermarking generated content and models
  2. Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear ThinkingLLM reasoning → Prompting and chain-of-thought reasoning
  3. Preference Optimization for Molecular Language ModelsLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
  4. Few-Shot In-Context Imitation Learning via Implicit Graph AlignmentOffline RL and imitation learning from data → Robot manipulation imitation learning
  5. Direct Neural Machine Translation with Task-level Mixture of Experts modelsMixture-of-experts → MoE large language models
  6. DynamiCrafter: Animating Open-domain Images with Video Diffusion PriorsDiffusion models → Video generation
  7. Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  8. Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal ModelingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. One-Shot Imitation Learning: A Pose Estimation PerspectiveOffline RL and imitation learning from data → Robot manipulation imitation learning
  10. Black-Box Training Data Identification in GANs via Detector NetworksLLM safety and security → Membership inference attacks
  11. On the use of Vision-Language models for Visual Sentiment Analysis: a study on CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  13. Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  14. A General Theoretical Paradigm to Understand Learning from Human PreferencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  15. Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionLLM reasoning → Reasoning benchmarks and evaluation
  16. Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachDiffusion models → Inverse problems and image restoration +1
  17. InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text GenerationDiffusion models → Discrete and text diffusion
  18. Improving Generalization of Alignment with Human Preferences through Group Invariant LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  19. Quantifying Privacy Risks of Prompts in Visual Prompt LearningLLM safety and security → Membership inference attacks
  20. MusicAgent: An AI Agent for Music Understanding and Generation with Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
  21. To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For NowDiffusion models → Robustness, privacy and adversarial aspects +1
  22. The Value-Sensitive Conversational Agent Co-Design FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
  23. IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path VisualizationLLM reasoning → Knowledge- and tool-augmented reasoning
  24. Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic PromptsDiffusion models → 3D, point cloud and scene generation
  25. Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at ScaleDiffusion models → Image generation, text-to-image and editing
  26. Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice SettingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  27. Action-Quantized Offline Reinforcement Learning for Robotic Skill LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  28. Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language UnderstandingLLM reasoning → Prompting and chain-of-thought reasoning
  29. Reflection-Tuning: Data Recycling Improves LLM Instruction-TuningLLM reasoning → Reasoning benchmarks and evaluation
  30. Open-ended Commonsense Reasoning with Unrestricted Answer ScopeLLM reasoning → Knowledge- and tool-augmented reasoning
  31. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  32. On Unsupervised Image-to-image translation and GAN stability
  33. A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design
  34. Scalable Diffusion for Materials Generation
  35. Learning Gradient Fields for Scalable and Generalizable Irregular Packing
  36. Enhancing Genetic Improvement Mutations Using Large Language Models
  37. Brain decoding: toward real-time reconstruction of visual perception
  38. A Historical Context for Data Streams
  39. Is Channel Independent strategy optimal for Time Series Forecasting?
  40. Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
  41. Getting aligned on representational alignment
  42. Position Interpolation Improves ALiBi Extrapolation
  43. Solving the multiplication problem of a large language model system using a graph-based method
  44. Learning to Optimise Climate Sensor Placement using a Transformer
  45. Online Learning and Planning in Cognitive Hierarchies
  46. Solving Hard Analogy Questions with Relation Embedding Chains
  47. No-Regret Learning in Bilateral Trade via Global Budget Balance
  48. GRI: Graph-based Relative Isomorphism of Word Embedding Spaces
  49. MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
  50. Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach
  51. knn-seq: Efficient, Extensible kNN-MT Framework
  52. Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
  53. Tracking electricity losses and their perceived causes using nighttime light and social media
  54. ClusT3: Information Invariant Test-Time Training
  55. LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following
  56. Improving Representation Learning for Histopathologic Images with Cluster Constraints
  57. Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education
  58. The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
  59. A Unifying Framework for Learning Argumentation Semantics
  60. Document-Level Language Models for Machine Translation
  61. Measuring Pointwise V-Usable Information In-Context-ly
  62. Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization
  63. Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability
  64. Open-Set Multivariate Time-Series Anomaly Detection
  65. Fact-based Agent modeling for Multi-Agent Reinforcement Learning
  66. Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
  67. Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning
  68. An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
  69. Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation
  70. A PAC Learning Algorithm for LTL and Omega-regular Objectives in MDPs
  71. A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  72. REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes
  73. An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes
  74. Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows
  75. Mesh Represented Recycle Learning for 3D Hand Pose and Mesh Estimation
  76. Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit
  77. Architectural Implications of GNN Aggregation Programming Abstractions
  78. Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
  79. Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
  80. Understanding Retrieval Augmentation for Long-Form Question Answering
  81. Object-aware Inversion and Reassembly for Image Editing
  82. InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions
  83. Fairer and More Accurate Tabular Models Through NAS
  84. Dynamic financial processes identification using sparse regressive reservoir computers
  85. Simple Mechanisms for Representing, Indexing and Manipulating Concepts
  86. Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
  87. Pseudointelligence: A Unifying Framework for Language Model Evaluation
  88. A comprehensible analysis of the efficacy of Ensemble Models for Bug Prediction
  89. DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
  90. A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation
  91. SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks
  92. Automatic prediction of mortality in patients with mental illness using electronic health records
  93. Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers
  94. MMD-based Variable Importance for Distributional Random Forest
  95. A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
  96. DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification
  97. Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
  98. An Online Learning Theory of Brokerage
  99. On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields
  100. HSTR-Net: Reference Based Video Super-resolution with Dual Cameras
All 238
  1. FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
  2. On the Benefit of Generative Foundation Models for Human Activity Recognition
  3. Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait
  4. Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework
  5. Differential Equation Scaling Limits of Shaped and Unshaped Neural Networks
  6. Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems
  7. Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures
  8. SPEED: Speculative Pipelined Execution for Efficient Decoding
  9. Transformers for scientific data: a pedagogical review for astronomers
  10. Code Book for the Annotation of Diverse Cross-Document Coreference of Entities in News Articles
  11. Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation
  12. Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education
  13. Machine Learning-based Nutrient Application's Timeline Recommendation for Smart Agriculture: A Large-Scale Data Mining Approach
  14. Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems
  15. Conformal Drug Property Prediction with Density Estimation under Covariate Shift
  16. Exact and general decoupled solutions of the LMC Multitask Gaussian Process model
  17. SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment
  18. Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
  19. CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation
  20. LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation
  21. Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks
  22. Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs
  23. KI-PMF: Knowledge Integrated Plausible Motion Forecasting
  24. Bayesian Flow Networks in Continual Learning
  25. Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
  26. Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation
  27. Image Clustering with External Guidance
  28. Sociotechnical Safety Evaluation of Generative AI Systems
  29. A Finite-Horizon Approach to Active Level Set Estimation
  30. From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers
  31. Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?
  32. Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews
  33. Flexible Payload Configuration for Satellites using Machine Learning
  34. Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks
  35. AMR Parsing with Causal Hierarchical Attention and Pointers
  36. Fast Multipole Attention: A Scalable Multilevel Attention Mechanism for Text and Images
  37. A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
  38. Emptying the Ocean with a Spoon: Should We Edit Models?
  39. Recasting Continual Learning as Sequence Modeling
  40. Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
  41. Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering
  42. Grounded and Well-rounded: A Methodological Approach to the Study of Cross-modal and Cross-lingual Grounding
  43. Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
  44. A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
  45. A connection between Tempering and Entropic Mirror Descent
  46. Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder
  47. Rather a Nurse than a Physician -- Contrastive Explanations under Investigation
  48. Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
  49. A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
  50. A Hyperparameter Study for Quantum Kernel Methods
  51. IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
  52. Building a Graph-based Deep Learning network model from captured traffic traces
  53. Analyze Mass Spectrometry data with Artificial Intelligence to assist the understanding of past habitability of Mars and provide insights for future missions
  54. From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
  55. A Comparative Study of Image Restoration Networks for General Backbone Network Design
  56. Online Convex Optimization with Switching Cost and Delayed Gradients
  57. From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification
  58. The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models
  59. SQ Lower Bounds for Learning Mixtures of Linear Classifiers
  60. Fractional Concepts in Neural Networks: Enhancing Activation Functions
  61. AI Nushu: An Exploration of Language Emergence in Sisterhood -Through the Lens of Computational Linguistics
  62. Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
  63. Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function
  64. Effective and Efficient Federated Tree Learning on Hybrid Data
  65. VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization
  66. Learning to Generate Parameters of ConvNets for Unseen Image Data
  67. Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
  68. MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning
  69. Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning
  70. Classification Aggregation without Unanimity
  71. On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning
  72. Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems
  73. Optimising Distributions with Natural Gradient Surrogates
  74. HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition
  75. CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
  76. Graph Foundation Models: Concepts, Opportunities and Challenges
  77. Conservative Predictions on Noisy Financial Data
  78. ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction from a Single Depth Map
  79. Learning quantum properties from short-range correlations using multi-task networks
  80. De novo protein design using geometric vector field networks
  81. Auction-Based Scheduling
  82. Panoptic Out-of-Distribution Segmentation
  83. PINNsFailureRegion Localization and Refinement through White-box AdversarialAttack
  84. NeuroCUT: A Neural Approach for Robust Graph Partitioning
  85. Text Annotation Handbook: A Practical Guide for Machine Learning Projects
  86. Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling
  87. Telecom AI Native Systems in the Age of Generative AI -- An Engineering Perspective
  88. Annotated Job Ads with Named Entity Recognition
  89. Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation
  90. A Quasi-Wasserstein Loss for Learning Graph Neural Networks
  91. A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
  92. Perceptual Scales Predicted by Fisher Information Metrics
  93. Domain-Generalized Face Anti-Spoofing with Unknown Attacks
  94. RGM: A Robust Generalizable Matching Model
  95. Bias in Emotion Recognition with ChatGPT
  96. Estimating Material Properties of Interacting Objects Using Sum-GP-UCB
  97. BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
  98. Unintended Memorization in Large ASR Models, and How to Mitigate It
  99. A Theory of Feature Learning in Kernel Models
  100. DBDNet:Partial-to-Partial Point Cloud Registration with Dual Branches Decoupling
  101. Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
  102. VST++: Efficient and Stronger Visual Saliency Transformer
  103. Uncertainty in Automated Ontology Matching: Lessons Learned from an Empirical Experimentation
  104. Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational Analysis
  105. Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets
  106. Consistent Distributed Ranking of Generative Models via Kernel Distances
  107. Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation
  108. Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
  109. Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
  110. Learning under Label Proportions for Text Classification
  111. A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge
  112. DPF-Nutrition: Food Nutrition Estimation via Depth Prediction and Fusion
  113. Runner re-identification from single-view running video in the open-world setting
  114. MISAR: A Multimodal Instructional System with Augmented Reality
  115. MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
  116. AUC-mixup: Deep AUC Maximization with Mixup
  117. Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
  118. Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
  119. Why Softmax Attention Outperforms Linear Attention
  120. Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
  121. Descriptive Knowledge Graph in Biomedical Domain
  122. Using Experience Classification for Training Non-Markovian Tasks
  123. Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
  124. PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
  125. MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction
  126. Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
  127. Hetero2Net: Heterophily-aware Representation Learning on Heterogenerous Graphs
  128. ChatGPT-guided Semantics for Zero-shot Learning
  129. Field-testing items using artificial intelligence: Natural language processing with transformers
  130. Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features
  131. VKIE: The Application of Key Information Extraction on Video Text
  132. Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model
  133. Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs
  134. Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence
  135. Free-text Keystroke Authentication using Transformers: A Comparative Study of Architectures and Loss Functions
  136. Systematic Assessment of Factual Knowledge in Large Language Models
  137. A Uniform Language to Explain Decision Trees
  138. MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations