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Models

20,488 papers (23 classified directly here)

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Papers (including subtopics)

LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024 L-MAGIC: Language Model Assisted Generation of Images with Coherence CVPR 2024 LMD: Faster Image Reconstruction with Latent Masking Diffusion AAAI 2024 LMDrive: Closed-Loop End-to-End Driving with Large Language Models CVPR 2024 LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement ECCV 2024 Local and Global Decoding in Text Generation EMNLP 2024 Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract) AAAI 2024 Local Curvature Smoothing with Stein's Identity for Efficient Score Matching NeurIPS 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner NeurIPS 2024 Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion Interspeech 2024 LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems ACL 2024 Local Search GFlowNets ICLR 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives CVPR 2024 LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints ICLR 2024 LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding ACL 2024 LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024 Long-form factuality in large language models NeurIPS 2024 LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering EMNLP 2024 Long-tailed Diffusion Models with Oriented Calibration ICLR 2024 Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining ICML 2024 Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024 Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models NeurIPS 2024