mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 30 Mar 2024

148 papers

  1. ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction PredictionLLM reasoning → Clinical and biomedical applications
  2. Generative AI Models for Different Steps in Architectural Design: A Literature ReviewDiffusion models → 3D, point cloud and scene generation
  3. Configurable Safety Tuning of Language Models with Synthetic Preference DataLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  4. Denoising Monte Carlo Renders with Diffusion ModelsDiffusion models → Inverse problems and image restoration
  5. Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
  6. Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  7. Score-Based Diffusion Models for Photoacoustic Tomography Image ReconstructionDiffusion models → Medical imaging and segmentation
  8. Zero-shot Safety Prediction for Autonomous Robots with Foundation World ModelsWorld models → Latent dynamics models and model-based RL
  9. Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based LearningLLM safety and security → Backdoor and data poisoning attacks
  10. NumeroLogic: Number Encoding for Enhanced LLMs' Numerical ReasoningLLM reasoning → Mathematical reasoning
  11. QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsEfficient LLM inference and serving → KV cache quantization
  12. Planning and Editing What You Retrieve for Enhanced Tool LearningLLM reasoning → Reasoning for agents, planning and code +1
  13. Do Vision-Language Models Understand Compound Nouns?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  14. Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-DistillationKnowledge distillation → Distillation for continual learning
  15. CraftSVG: Multi-Object Text-to-SVG Synthesis via Layout Guided DiffusionDiffusion models → Image generation, text-to-image and editing
  16. TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag BiasKnowledge distillation → Multimodal distillation
  17. Small Language Models Learn Enhanced Reasoning Skills from Medical TextbooksLLM reasoning → Clinical and biomedical applications
  18. Dependability Evaluation of Stable Diffusion with Soft Errors on the Model ParametersDiffusion models → Diffusion foundations and sampling
  19. Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A SurveyDeep reinforcement learning methods → RL for autonomous driving and traffic
  20. Cognitive Planning for Object Goal Navigation using Generative AI ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  21. Bayesian Exploration of Pre-trained Models for Low-shot Image ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  22. LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented DiffusionRetrieval-augmented generation → Multimodal RAG
  23. Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and PerspectivesDeep reinforcement learning methods → RL for energy, networks and operations
  24. DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM InferenceEfficient LLM inference and serving → KV cache optimization
  25. Joint Pedestrian Trajectory Prediction through Posterior SamplingDiffusion models → Diffusion and flow policies for robotics
  26. Grid Diffusion Models for Text-to-Video GenerationDiffusion models → Video generation
  27. Latent Watermark: Inject and Detect Watermarks in Latent Diffusion SpaceDiffusion models → Robustness, privacy and adversarial aspects +1
  28. VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  29. EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge GraphsLLM reasoning → Reasoning benchmarks and evaluation
  30. Conceptual and Unbiased Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  31. AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous FlightsDeep reinforcement learning methods → RL for robot navigation and UAV control
  32. Multi-Stage Fusion Architecture for Small-Drone Localization and Identification Using Passive RF and EO Imagery: A Case Study
  33. A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis
  34. Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
  35. Going Forward-Forward in Distributed Deep Learning
  36. Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
  37. Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
  38. Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
  39. FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
  40. Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation
  41. The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis
  42. 94% on CIFAR-10 in 3.29 Seconds on a Single GPU
  43. Multi-hop Question Answering under Temporal Knowledge Editing
  44. Noise-Aware Training of Layout-Aware Language Models
  45. Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App
  46. DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
  47. Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4
  48. Cross-lingual Named Entity Corpus for Slavic Languages
  49. Convolutional Bayesian Filtering
  50. DE-HNN: An effective neural model for Circuit Netlist representation
  51. Linguistic Calibration of Long-Form Generations
  52. Privacy Backdoors: Stealing Data with Corrupted Pretrained Models
  53. Classification of Short Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network
  54. SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
  55. Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT
  56. Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias
  57. Addressing Both Statistical and Causal Gender Fairness in NLP Models
  58. Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection
  59. MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks
  60. Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment
  61. DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering
  62. Communication Efficient Distributed Training with Distributed Lion
  63. Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
  64. Visualizing Routes with AI-Discovered Street-View Patterns
  65. Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
  66. Extracting Manifold Information from Point Clouds
  67. Quantformer: from attention to profit with a quantitative transformer trading strategy
  68. Learning Service Selection Decision Making Behaviors During Scientific Workflow Development
  69. Continual Learning for Autonomous Robots: A Prototype-based Approach
  70. CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP
  71. Language Models are Spacecraft Operators
  72. Aardvark weather: end-to-end data-driven weather forecasting
  73. 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting
  74. Deep Learning with Parametric Lenses
  75. TACO -- Twitter Arguments from COnversations
  76. UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
  77. How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset
  78. Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
  79. An Analysis of BPE Vocabulary Trimming in Neural Machine Translation
  80. Learning truly monotone operators with applications to nonlinear inverse problems
  81. Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models
  82. Constrained Layout Generation with Factor Graphs
  83. SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
  84. DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
  85. The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
  86. From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection
  87. Worker Robot Cooperation and Integration into the Manufacturing Workcell via the Holonic Control Architecture
  88. Towards Variable and Coordinated Holistic Co-Speech Motion Generation
  89. Efficient Multi-branch Segmentation Network for Situation Awareness in Autonomous Navigation
  90. Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning
  91. STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
  92. Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation
  93. Reusable Architecture Growth for Continual Stereo Matching
  94. Spread Your Wings: A Radial Strip Transformer for Image Deblurring
  95. Revisiting Random Weight Perturbation for Efficiently Improving Generalization
  96. Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint
  97. SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising
  98. MaGRITTe: Manipulative and Generative 3D Realization from Image, Topview and Text
  99. Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
  100. Ontology in Holonic Cooperative Manufacturing: A Solution to Share and Exchange the Knowledge
All 148
  1. Learning Trimaps via Clicks for Image Matting
  2. Memory-Scalable and Simplified Functional Map Learning
  3. YNetr: Dual-Encoder architecture on Plain Scan Liver Tumors (PSLT)
  4. CLIP-driven Outliers Synthesis for few-shot OOD detection
  5. Instrument-tissue Interaction Detection Framework for Surgical Video Understanding
  6. Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives
  7. Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal
  8. ST-LLM: Large Language Models Are Effective Temporal Learners
  9. A blockchain-based intelligent recommender system framework for enhancing supply chain resilience
  10. A Comprehensive Study on NLP Data Augmentation for Hate Speech Detection: Legacy Methods, BERT, and LLMs
  11. Monocular Identity-Conditioned Facial Reflectance Reconstruction
  12. HOI-M3:Capture Multiple Humans and Objects Interaction within Contextual Environment
  13. A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
  14. Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration
  15. Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
  16. A Likelihood Ratio Test of Genetic Relationship among Languages
  17. Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
  18. Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restoration
  19. Instruction-Driven Game Engines on Large Language Models
  20. HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification
  21. TG-NAS: Generalizable Zero-Cost Proxies with Operator Description Embedding and Graph Learning for Efficient Neural Architecture Search
  22. IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images
  23. Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits
  24. DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
  25. Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
  26. A Simple Yet Effective Approach for Diversified Session-Based Recommendation
  27. Exploiting Self-Supervised Constraints in Image Super-Resolution
  28. YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery
  29. Clustering for Protein Representation Learning
  30. Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
  31. Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World
  32. Enhancing Content-based Recommendation via Large Language Model
  33. Information Security and Privacy in the Digital World: Some Selected Topics
  34. Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning
  35. Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
  36. InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
  37. A Survey of using Large Language Models for Generating Infrastructure as Code
  38. Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
  39. Heterogeneous Contrastive Learning for Foundation Models and Beyond
  40. Classification and Clustering of Sentence-Level Embeddings of Scientific Articles Generated by Contrastive Learning
  41. Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data
  42. Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
  43. Functional-Edged Network Modeling
  44. Rationale-based Opinion Summarization
  45. Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
  46. Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
  47. Multi-Conditional Ranking with Large Language Models
  48. Causal Inference for Human-Language Model Collaboration