Collections
Discover the best community collections!
Collections including paper arxiv:2402.10379
-
Effective pruning of web-scale datasets based on complexity of concept clusters
Paper • 2401.04578 • Published -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 41 -
A Survey on Data Selection for LLM Instruction Tuning
Paper • 2402.05123 • Published • 3 -
LESS: Selecting Influential Data for Targeted Instruction Tuning
Paper • 2402.04333 • Published • 3
-
AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts
Paper • 2402.07625 • Published • 14 -
Rethinking Data Selection for Supervised Fine-Tuning
Paper • 2402.06094 • Published • 1 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 48 -
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 20
-
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 18 -
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Paper • 2401.15688 • Published • 11 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72 -
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
Paper • 2401.15071 • Published • 37
-
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 85 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Paper • 2402.12226 • Published • 43 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 146 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Paper • 2311.11077 • Published • 25 -
Multi-line AI-assisted Code Authoring
Paper • 2402.04141 • Published • 10 -
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Paper • 2402.10524 • Published • 23 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31
-
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Paper • 2311.09257 • Published • 47 -
VideoPoet: A Large Language Model for Zero-Shot Video Generation
Paper • 2312.14125 • Published • 45 -
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 31 -
VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM
Paper • 2401.01256 • Published • 21
-
Ultra-Long Sequence Distributed Transformer
Paper • 2311.02382 • Published • 3 -
Ziya2: Data-centric Learning is All LLMs Need
Paper • 2311.03301 • Published • 17 -
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Paper • 2311.02103 • Published • 17 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 13