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Collections including paper arxiv:2312.16171

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 • 18
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 75
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 32

The Unreasonable Effectiveness of Eccentric Automatic Prompts

Paper • 2402.10949 • Published Feb 9 • 3
State of What Art? A Call for Multi-Prompt LLM Evaluation

Paper • 2401.00595 • Published Dec 31, 2023 • 1
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models

Paper • 2401.05618 • Published Jan 11 • 1

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34

Text Instruction Papers

Self-Instruct: Aligning Language Model with Self Generated Instructions

Paper • 2212.10560 • Published Dec 20, 2022 • 7
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25 • 46
AlpaCare:Instruction-tuned Large Language Models for Medical Application

Paper • 2310.14558 • Published Oct 23, 2023 • 4

MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 48
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Paper • 2401.10774 • Published Jan 19 • 53
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Paper • 2401.12954 • Published Jan 23 • 28

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34

Multilingual Instruction Tuning With Just a Pinch of Multilinguality

Paper • 2401.01854 • Published Jan 3 • 10
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2 • 53
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Paper • 2401.01325 • Published Jan 2 • 26
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34
Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases

Paper • 2312.15011 • Published Dec 22, 2023 • 15
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 75

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34

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