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Collections including paper arxiv:2308.10792

Instruction Tuning

Instruction Mining: High-Quality Instruction Data Selection for Large Language Models

Paper • 2307.06290 • Published Jul 12, 2023 • 10
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

Paper • 2408.02085 • Published Aug 4, 2024 • 18
A Survey on Data Selection for LLM Instruction Tuning

Paper • 2402.05123 • Published Feb 4, 2024 • 3
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Paper • 2403.14608 • Published Mar 21, 2024

LLM Post Training

Instruction Tuning for Large Language Models: A Survey

Paper • 2308.10792 • Published Aug 21, 2023 • 1
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Paper • 2403.14608 • Published Mar 21, 2024
Efficient Large Language Models: A Survey

Paper • 2312.03863 • Published Dec 6, 2023 • 3
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 30

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10, 2024 • 28
On the Societal Impact of Open Foundation Models

Paper • 2403.07918 • Published Feb 27, 2024 • 17
JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 34
Instruction Tuning for Large Language Models: A Survey

Paper • 2308.10792 • Published Aug 21, 2023 • 1

Towards an Understanding of Large Language Models in Software Engineering Tasks

Paper • 2308.11396 • Published Aug 22, 2023 • 1
Several categories of Large Language Models (LLMs): A Short Survey

Paper • 2307.10188 • Published Jul 5, 2023 • 1
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

Paper • 2309.01157 • Published Sep 3, 2023 • 1
A Survey on Large Language Models for Recommendation

Paper • 2305.19860 • Published May 31, 2023 • 1

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

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