mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 20 May 2023

125 papers

  1. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  2. Lifelong Language Pretraining with Distribution-Specialized ExpertsMixture-of-experts → MoE large language models
  3. Boosting Human-Object Interaction Detection with Text-to-Image Diffusion ModelDiffusion models → Video generation
  4. Dynamic Transformers Provide a False Sense of EfficiencyEfficient LLM inference and serving → Early exit and edge inference
  5. What Makes for Good Visual Tokenizers for Large Language Models?Multimodal LLMs / vision-language models → Visual token pruning and efficiency
  6. Self-Distillation with Meta Learning for Knowledge Graph CompletionKnowledge distillation → Graph neural network distillation
  7. Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsDiffusion models → Inverse problems and image restoration
  8. LogiCoT: Logical Chain-of-Thought Instruction-TuningLLM reasoning → Prompting and chain-of-thought reasoning
  9. Lifting the Curse of Capacity Gap in Distilling Language ModelsMixture-of-experts → MoE large language models +1
  10. Annealing Self-Distillation Rectification Improves Adversarial TrainingKnowledge distillation → Federated, robust and private distillation
  11. Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?LLM reasoning → Reasoning benchmarks and evaluation
  12. SneakyPrompt: Jailbreaking Text-to-image Generative ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  13. DisCo: Distilled Student Models Co-training for Semi-supervised Text MiningKnowledge distillation → Knowledge distillation for LLMs
  14. Accurate Knowledge Distillation with n-best RerankingKnowledge distillation → Knowledge distillation for LLMs
  15. Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning
  16. A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
  17. Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework
  18. CDJUR-BR -- A Golden Collection of Legal Document from Brazilian Justice with Fine-Grained Named Entities
  19. Practical PCG Through Large Language Models
  20. Locksynth: Deriving Synchronization Code for Concurrent Data Structures with ASP
  21. Interactive Model Expansion in an Observable Environment
  22. MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing
  23. Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement
  24. PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
  25. MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
  26. Inferring Attracting Basins of Power System with Machine Learning
  27. Abstraction of Nondeterministic Situation Calculus Action Theories -- Extended Version
  28. Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding
  29. PhotoMat: A Material Generator Learned from Single Flash Photos
  30. Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
  31. Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond
  32. Contrastive inverse regression for dimension reduction
  33. Low-Earth Satellite Orbit Determination Using Deep Convolutional Networks with Satellite Imagery
  34. Safely Learning Dynamical Systems
  35. Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
  36. Contextualizing Argument Quality Assessment with Relevant Knowledge
  37. Analogy in Contact: Modeling Maltese Plural Inflection
  38. Autoregressive Modeling with Lookahead Attention
  39. Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion
  40. Patton: Language Model Pretraining on Text-Rich Networks
  41. LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing
  42. Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media
  43. Self-supervised representations in speech-based depression detection
  44. Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment
  45. Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction
  46. SEntFiN 1.0: Entity-Aware Sentiment Analysis for Financial News
  47. Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination
  48. A request for clarity over the End of Sequence token in the Self-Critical Sequence Training
  49. DAC: Detector-Agnostic Spatial Covariances for Deep Local Features
  50. Brain encoding models based on multimodal transformers can transfer across language and vision
  51. Comparative Analysis of Deep Learning Models for Brand Logo Classification in Real-World Scenarios
  52. Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
  53. Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
  54. Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
  55. Searching a Compact Architecture for Robust Multi-Exposure Image Fusion
  56. Joining the Conversation: Towards Language Acquisition for Ad Hoc Team Play
  57. A Measure of Explanatory Effectiveness
  58. Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation
  59. On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
  60. A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms
  61. Collaborative Development of NLP models
  62. Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment
  63. PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search
  64. On First-Order Meta-Reinforcement Learning with Moreau Envelopes
  65. Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching
  66. Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
  67. Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
  68. GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training
  69. ComedicSpeech: Text To Speech For Stand-up Comedies in Low-Resource Scenarios
  70. VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models
  71. Experimental results from applying GPT-4 to an unpublished formal language
  72. Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
  73. Paragraph-level Citation Recommendation based on Topic Sentences as Queries
  74. Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
  75. Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
  76. Model Debiasing via Gradient-based Explanation on Representation
  77. Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
  78. The Case Against Explainability
  79. A Scalable Neural Network for DSIC Affine Maximizer Auction Design
  80. Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems
  81. (Machine) Learning to Be Like Thee? For Algorithm Education, Not Training
  82. Revisiting Automated Topic Model Evaluation with Large Language Models
  83. Normalizing flow sampling with Langevin dynamics in the latent space
  84. Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
  85. Hedges in Bidirectional Translations of Publicity-Oriented Documents
  86. DiffCap: Exploring Continuous Diffusion on Image Captioning
  87. Learning Horn Envelopes via Queries from Large Language Models
  88. Movie101: A New Movie Understanding Benchmark
  89. Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs
  90. Privacy in Multimodal Federated Human Activity Recognition
  91. Loss Spike in Training Neural Networks
  92. Can Public Large Language Models Help Private Cross-device Federated Learning?
  93. Non-stationary Delayed Online Convex Optimization: From Full-information to Bandit Setting
  94. DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
  95. A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks
  96. Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
  97. ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
  98. GFDC: A Granule Fusion Density-Based Clustering with Evidential Reasoning
  99. Meta Neural Coordination
  100. EE-TTS: Emphatic Expressive TTS with Linguistic Information
All 125
  1. Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification
  2. Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
  3. How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features
  4. CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
  5. ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
  6. "What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge
  7. UP5: Unbiased Foundation Model for Fairness-aware Recommendation
  8. Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning
  9. Semi-Supervised Graph Imbalanced Regression
  10. Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
  11. Stability and Generalization of lp-Regularized Stochastic Learning for GCN
  12. Revisiting Entropy Rate Constancy in Text
  13. MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
  14. Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
  15. GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance
  16. Chest X-ray Image Classification: A Causal Perspective
  17. Instrumental Variable Learning for Chest X-ray Classification
  18. Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
  19. Attacking All Tasks at Once Using Adversarial Examples in Multi-Task Learning
  20. Efficient Multimodal Neural Networks for Trigger-less Voice Assistants
  21. Mechanical Property Design of Bio-compatible Mg alloys using Machine-Learning Algorithms
  22. DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems
  23. Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
  24. Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN)
  25. AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation