Agents: An Open-source Framework for Autonomous Language Agents Paper • 2309.07870 • Published Sep 14, 2023 • 39
PDFTriage: Question Answering over Long, Structured Documents Paper • 2309.08872 • Published Sep 16, 2023 • 52
Aligning Large Multimodal Models with Factually Augmented RLHF Paper • 2309.14525 • Published Sep 25, 2023 • 30
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise Paper • 2310.19019 • Published Oct 29, 2023 • 9
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models Paper • 2309.14717 • Published Sep 26, 2023 • 43
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models Paper • 2401.15947 • Published Jan 29 • 48
Repeat After Me: Transformers are Better than State Space Models at Copying Paper • 2402.01032 • Published Feb 1 • 22
Rethinking Interpretability in the Era of Large Language Models Paper • 2402.01761 • Published Jan 30 • 21
RLVF: Learning from Verbal Feedback without Overgeneralization Paper • 2402.10893 • Published Feb 16 • 10
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models Paper • 2402.10986 • Published Feb 16 • 76
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Paper • 2402.17177 • Published Feb 27 • 88
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Paper • 2403.09611 • Published Mar 14 • 123
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach Paper • 2405.15613 • Published May 24 • 13