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Collections including paper arxiv:2309.04269

Many-Shot In-Context Learning in Multimodal Foundation Models

Paper • 2405.09798 • Published about 1 month ago • 25
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published 13 days ago • 27
To Believe or Not to Believe Your LLM

Paper • 2406.02543 • Published 11 days ago • 25

TnT-LLM: Text Mining at Scale with Large Language Models

Paper • 2403.12173 • Published Mar 18 • 17
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Paper • 2309.07430 • Published Sep 14, 2023 • 26
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29

Prompt Engineering

Contrastive Chain-of-Thought Prompting

Paper • 2311.09277 • Published Nov 15, 2023 • 31
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29
Prompt Engineering a Prompt Engineer

Paper • 2311.05661 • Published Nov 9, 2023 • 18

HaRiM^+: Evaluating Summary Quality with Hallucination Risk

Paper • 2211.12118 • Published Nov 22, 2022
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29

chain of thought

Training Chain-of-Thought via Latent-Variable Inference

Paper • 2312.02179 • Published Nov 28, 2023 • 8
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Paper • 2312.04474 • Published Dec 7, 2023 • 28
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Paper • 2305.14160 • Published May 23, 2023 • 1

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 • 29

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 6
Self-Consistency Improves Chain of Thought Reasoning in Language Models

Paper • 2203.11171 • Published Mar 21, 2022 • 1
MemGPT: Towards LLMs as Operating Systems

Paper • 2310.08560 • Published Oct 12, 2023 • 6
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Paper • 2310.06117 • Published Oct 9, 2023 • 3

Graph Reasoning

Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts

Paper • 2401.14295 • Published Jan 25 • 3
A Latent Space Theory for Emergent Abilities in Large Language Models

Paper • 2304.09960 • Published Apr 19, 2023 • 3
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Paper • 2310.01061 • Published Oct 2, 2023 • 2
Large Language Models as Analogical Reasoners

Paper • 2310.01714 • Published Oct 3, 2023 • 14

kye/all-nvidia-python-code

Viewer • Updated Sep 16, 2023 • 3 • 3
kye/all-huggingface-python-code

Viewer • Updated Sep 16, 2023 • 4 • 1
kye/all-microsoft-python-code

Viewer • Updated Sep 15, 2023 • 3 • 1
Falah/3d-birds_animals_prompts

Viewer • Updated Sep 10, 2023

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29

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