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Collections including paper arxiv:2306.10241

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 80
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

Knowledge distillation

Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16
Teaching Language Models to Self-Improve through Interactive Demonstrations

Paper • 2310.13522 • Published Oct 20, 2023 • 12
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 • 10

Dissecting In-Context Learning of Translations in GPTs

Paper • 2310.15987 • Published Oct 24, 2023 • 6
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Paper • 2309.08958 • Published Sep 16, 2023 • 2
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Paper • 2305.04160 • Published May 7, 2023 • 2
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 2023 • 1

Knowledge graph

Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs

Paper • 2309.03118 • Published Sep 6, 2023 • 2
Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?

Paper • 2308.10168 • Published Aug 20, 2023 • 2
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

Paper • 2308.09729 • Published Aug 17, 2023 • 5
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models

Paper • 2110.07178 • Published Oct 14, 2021 • 1

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
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 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 80
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

Knowledge graph

Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs

Paper • 2309.03118 • Published Sep 6, 2023 • 2
Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?

Paper • 2308.10168 • Published Aug 20, 2023 • 2
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

Paper • 2308.09729 • Published Aug 17, 2023 • 5
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models

Paper • 2110.07178 • Published Oct 14, 2021 • 1

Knowledge distillation

Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16
Teaching Language Models to Self-Improve through Interactive Demonstrations

Paper • 2310.13522 • Published Oct 20, 2023 • 12
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 • 10

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
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 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Dissecting In-Context Learning of Translations in GPTs

Paper • 2310.15987 • Published Oct 24, 2023 • 6
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Paper • 2309.08958 • Published Sep 16, 2023 • 2
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Paper • 2305.04160 • Published May 7, 2023 • 2
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 2023 • 1

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