-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 11 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 50 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 44
Collections
Discover the best community collections!
Collections including paper arxiv:2410.10630
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 84 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 17 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 24 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 26
-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 41 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 28