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Discover the best community collections!

Collections including paper arxiv:2403.09629

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 15
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15

Candidate papers to read in the H4 journal club

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Paper • 2210.14986 • Published Oct 26, 2022 • 4
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Paper • 2311.10702 • Published Nov 17, 2023 • 17
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 72
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 28

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots

Paper • 2405.07990 • Published 21 days ago • 15
Large Language Models as Planning Domain Generators

Paper • 2405.06650 • Published Apr 2 • 8
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation

Paper • 2404.12753 • Published Apr 19 • 38
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Paper • 2404.07972 • Published Apr 11 • 41

LeroyDyer/CyberVoice_Tokenizer

Automatic Speech Recognition • Updated Mar 29 • 2
LeroyDyer/CyberVision_Tokenizer

Image-to-Text • Updated Apr 5 • 84 • 1
LeroyDyer/Mixtral_AI_Cyber_Dolphin_LORA

Text Generation • Updated Apr 22 • 53 • 1
LeroyDyer/Mixtral_AI_Cyber_Orca_LORA

Updated Apr 23 • 1

Beginner's Mind

Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 16
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54
How Far Are We from Intelligent Visual Deductive Reasoning?

Paper • 2403.04732 • Published Mar 7 • 18
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 44
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Paper • 2402.10963 • Published Feb 13 • 9

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14 • 53
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 20
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 64
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54

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