Collections
Discover the best community collections!
Collections including paper arxiv:2401.04398
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 20 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 15 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15
-
Unicron: Economizing Self-Healing LLM Training at Scale
Paper • 2401.00134 • Published • 9 -
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Paper • 2401.00788 • Published • 21 -
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Paper • 2401.04398 • Published • 18 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15
-
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 28 -
Training Chain-of-Thought via Latent-Variable Inference
Paper • 2312.02179 • Published • 8 -
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Paper • 2312.01552 • Published • 27 -
AppAgent: Multimodal Agents as Smartphone Users
Paper • 2312.13771 • Published • 49
-
meta-llama/Llama-2-7b-hf
Text Generation • Updated • 1.26M • 1.5k -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 174 -
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Paper • 2401.04398 • Published • 18 -
PokéLLMon: A Human-Parity Agent for Pokémon Battles with Large Language Models
Paper • 2402.01118 • Published • 28
-
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Paper • 2309.08963 • Published • 9 -
DSG: An End-to-End Document Structure Generator
Paper • 2310.09118 • Published • 2 -
Integrating Graphs with Large Language Models: Methods and Prospects
Paper • 2310.05499 • Published • 1 -
Schema-learning and rebinding as mechanisms of in-context learning and emergence
Paper • 2307.01201 • Published • 2