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Collections including paper arxiv:2310.19019

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

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 34
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15 • 35

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 19
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 39
Data Filtering Networks

Paper • 2309.17425 • Published Sep 29, 2023 • 6
FlashDecoding++: Faster Large Language Model Inference on GPUs

Paper • 2311.01282 • Published Nov 2, 2023 • 30
E3 TTS: Easy End-to-End Diffusion-based Text to Speech

Paper • 2311.00945 • Published Nov 2, 2023 • 11

Automated Annotation with Generative AI Requires Validation

Paper • 2306.00176 • Published May 31, 2023 • 1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation

Paper • 2310.14192 • Published Oct 22, 2023 • 1
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer

Paper • 2309.08583 • Published Sep 15, 2023 • 1

Reasoning | Planning

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Paper • 2310.18628 • Published Oct 28, 2023 • 6
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Paper • 2310.19019 • Published Oct 29, 2023 • 9
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Paper • 2311.02262 • Published Nov 3, 2023 • 9
Thread of Thought Unraveling Chaotic Contexts

Paper • 2311.08734 • Published Nov 15, 2023 • 4

Continual learning

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization

Paper • 2310.10134 • Published Oct 16, 2023 • 1
TiC-CLIP: Continual Training of CLIP Models

Paper • 2310.16226 • Published Oct 24, 2023 • 7
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 26
Controlled Decoding from Language Models

Paper • 2310.17022 • Published Oct 25, 2023 • 12

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 • 69
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14

NExT-GPT: Any-to-Any Multimodal LLM

Paper • 2309.05519 • Published Sep 11, 2023 • 74
Large Language Model for Science: A Study on P vs. NP

Paper • 2309.05689 • Published Sep 11, 2023 • 20
AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Paper • 2309.06126 • Published Sep 12, 2023 • 16
Large Language Models for Compiler Optimization

Paper • 2309.07062 • Published Sep 11, 2023 • 22

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