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Collections including paper arxiv:2310.13332

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

Teaching Language Models to Self-Improve through Interactive Demonstrations

Paper • 2310.13522 • Published Oct 20, 2023 • 10
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14

Knowledge distillation

Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14
Teaching Language Models to Self-Improve through Interactive Demonstrations

Paper • 2310.13522 • Published Oct 20, 2023 • 10
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Paper • 2310.05035 • Published Oct 8, 2023 • 1
Tuna: Instruction Tuning using Feedback from Large Language Models

Paper • 2310.13385 • Published Oct 20, 2023 • 8

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 4
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 4
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 73
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 17
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

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