mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 12 Jan 2024

180 papers

  1. BioDiffusion: A Versatile Diffusion Model for Biomedical Signal SynthesisDiffusion models → Medical imaging and segmentation
  2. PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking RecipesLLM reasoning → Reasoning benchmarks and evaluation
  3. Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  4. DocFinQA: A Long-Context Financial Reasoning DatasetLLM reasoning → Reasoning for agents, planning and code
  5. Large Language Models Can Learn Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  6. MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference OptimizationLLM reasoning → Reasoning benchmarks and evaluation +1
  7. Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-ThoughtLLM reasoning → Audio-language model reasoning
  8. Cross-Attention Watermarking of Large Language ModelsLLM safety and security → Watermarking generated content and models
  9. Direct Distillation between Different DomainsKnowledge distillation → General knowledge distillation methods
  10. Revisiting Jailbreaking for Large Language Models: A Representation Engineering PerspectiveLLM safety and security → Jailbreaking +1
  11. APAR: LLMs Can Do Auto-Parallel Auto-Regressive DecodingEfficient LLM inference and serving → Speculative decoding
  12. The Unreasonable Effectiveness of Easy Training Data for Hard TasksLLM reasoning → Reasoning benchmarks and evaluation
  13. A deep implicit-explicit minimizing movement method for option pricing in jump-diffusion modelsDiffusion models → Flow matching, time series and science
  14. Reframing Tax Law Entailment as Analogical ReasoningLLM reasoning → Reasoning for agents, planning and code
  15. Multi-Candidate Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  16. Adversarial Examples are Misaligned in Diffusion Model ManifoldsDiffusion models → Robustness, privacy and adversarial aspects
  17. Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and TrackingDiffusion models → 3D, point cloud and scene generation
  18. Identifying Policy Gradient SubspacesDeep reinforcement learning methods → RL theory and sample complexity
  19. Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Planning Case StudyLLM reasoning → Reasoning for agents, planning and code +1
  20. Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  21. 360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  22. Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RLOffline RL and imitation learning from data → Inverse reinforcement learning +1
  23. Intention Analysis Makes LLMs A Good Jailbreak DefenderLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  24. Personalized Reinforcement Learning with a Budget of PoliciesDeep reinforcement learning methods → RL theory and sample complexity
  25. AntEval: Evaluation of Social Interaction Competencies in LLM-Driven AgentsLLM agents and tool use → Social simulation and multi-agent debate
  26. UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World UnderstandingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  27. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsLLM reasoning → Reasoning for agents, planning and code +1
  28. Graph Relation Distillation for Efficient Biomedical Instance SegmentationKnowledge distillation → Distillation for medical imaging
  29. An Empirical Investigation into the Effect of Parameter Choices in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  30. Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt EngineeringDiffusion models → Image generation, text-to-image and editing
  31. AffordanceLLM: Grounding Affordance from Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  32. Application Of Vision-Language Models For Assessing Osteoarthritis Disease SeverityMultimodal LLMs / vision-language models → Medical vision-language models
  33. Striking a Balance in Fairness for Dynamic Systems Through Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  34. Seg-metrics: a Python package to compute segmentation metrics
  35. LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration
  36. Deep Manifold Transformation for Protein Representation Learning
  37. Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
  38. Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines
  39. Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments
  40. Enhancements for 5G NR PRACH Reception: An AI/ML Approach
  41. GANs for EVT Based Model Parameter Estimation in Real-time Ultra-Reliable Communication
  42. A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
  43. Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems
  44. Plug-in for visualizing 3D tool tracking from videos of Minimally Invasive Surgeries
  45. Transcending Controlled Environments Assessing the Transferability of ASRRobust NLU Models to Real-World Applications
  46. A Physics-informed machine learning model for time-dependent wave runup prediction
  47. Zero-Shot RTL Code Generation with Attention Sink Augmented Large Language Models
  48. Foundations of Structural Causal Models with Latent Selection
  49. Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
  50. Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation
  51. Microphone Conversion: Mitigating Device Variability in Sound Event Classification
  52. Analyses and Concerns in Precision Medicine: A Statistical Perspective
  53. Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
  54. Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
  55. An Axiomatic Approach to Model-Agnostic Concept Explanations
  56. Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics
  57. Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
  58. Promptly Predicting Structures: The Return of Inference
  59. Multicriteria decision support employing adaptive prediction in a tensor-based feature representation
  60. Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
  61. Deep Learning With DAGs
  62. Fine-grained Hallucination Detection and Editing for Language Models
  63. Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning
  64. Structsum Generation for Faster Text Comprehension
  65. Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution
  66. A hierarchical control framework for autonomous decision-making systems: Integrating HMDP and MPC
  67. XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese
  68. A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems
  69. RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
  70. APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
  71. Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification
  72. Machine Translation Models are Zero-Shot Detectors of Translation Direction
  73. Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements
  74. Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  75. Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies
  76. Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction
  77. Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries
  78. Stylometry Analysis of Multi-authored Documents for Authorship and Author Style Change Detection
  79. Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain
  80. (Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum
  81. Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty
  82. Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
  83. Few-Shot Detection of Machine-Generated Text using Style Representations
  84. Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
  85. Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
  86. Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering
  87. A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
  88. An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
  89. Embedded Planogram Compliance Control System
  90. Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
  91. Proximal Causal Inference With Text Data
  92. DQNC2S: DQN-based Cross-stream Crisis event Summarizer
  93. LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase
  94. PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler
  95. WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
  96. Neural Networks for Singular Perturbations
  97. Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks
  98. Block Majorization Minimization with Extrapolation and Application to β-NMF
  99. SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
  100. Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
All 180
  1. Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
  2. CCFC: Bridging Federated Clustering and Contrastive Learning
  3. Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
  4. OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
  5. TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
  6. Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
  7. Dynamic Behaviour of Connectionist Speech Recognition with Strong Latency Constraints
  8. Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation
  9. Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
  10. Valid causal inference with unobserved confounding in high-dimensional settings
  11. Resource-Efficient Gesture Recognition using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation
  12. A General Benchmark Framework is Dynamic Graph Neural Network Need
  13. Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
  14. Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior
  15. Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
  16. Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
  17. Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
  18. Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis
  19. Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
  20. INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
  21. PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
  22. MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
  23. Domain Adaptation for Time series Transformers using One-step fine-tuning
  24. Boosting Causal Additive Models
  25. Exploring Diverse Representations for Open Set Recognition
  26. ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study
  27. Frequency Masking for Universal Deepfake Detection
  28. Improving the Detection of Small Oriented Objects in Aerial Images
  29. Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
  30. Temporal and Between-Group Variability in College Dropout Prediction
  31. An investigation of structures responsible for gender bias in BERT and DistilBERT
  32. Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases
  33. Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
  34. Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
  35. Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation
  36. A Brain-inspired Computational Model for Human-like Concept Learning
  37. Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning
  38. Adapting Large Language Models for Document-Level Machine Translation
  39. PersianMind: A Cross-Lingual Persian-English Large Language Model
  40. Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
  41. AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding
  42. Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
  43. Automated Machine Learning for Positive-Unlabelled Learning
  44. Uncertainty-aware multi-fidelity surrogate modeling with noisy data
  45. BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
  46. RotationDrag: Point-based Image Editing with Rotated Diffusion Features
  47. Improving Low-Light Image Recognition Performance Based on Image-adaptive Learnable Module
  48. 3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
  49. Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
  50. Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
  51. Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
  52. Mutual Distillation Learning For Person Re-Identification
  53. UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
  54. Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
  55. Mission: Impossible Language Models
  56. 3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image
  57. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
  58. UAV-Borne Mapping Algorithms for Low-Altitude and High-Speed Drone Applications
  59. Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review
  60. DevEval: Evaluating Code Generation in Practical Software Projects
  61. Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model
  62. An approach for mistranslation removal from popular dataset for Indic MT Task
  63. ModaVerse: Efficiently Transforming Modalities with LLMs
  64. Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
  65. SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization
  66. What should I say? -- Interacting with AI and Natural Language Interfaces
  67. Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
  68. Cognitive BPM as an Equalizer: Improving Access and Efficiency for Employees with (and without) Cognitive Disabilities
  69. SamLP: A Customized Segment Anything Model for License Plate Detection
  70. ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers
  71. Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
  72. A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for Enhancing RSVP-BCI Decoding
  73. Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery
  74. Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
  75. Multi-Task Learning for Front-End Text Processing in TTS
  76. Zero-shot Generative Large Language Models for Systematic Review Screening Automation
  77. Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
  78. ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
  79. A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications
  80. Misconfidence-based Demonstration Selection for LLM In-Context Learning