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Collections including paper arxiv:2310.01377

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

UltraFeedback: Boosting Language Models with High-quality Feedback

Paper • 2310.01377 • Published Oct 2, 2023 • 5
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 80

Papers - Training - Instruction-Following

Alpaca eval: https://github.com/tatsu-lab/alpaca_eval

UltraFeedback: Boosting Language Models with High-quality Feedback

Paper • 2310.01377 • Published Oct 2, 2023 • 5
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Paper • 2305.14387 • Published May 22, 2023 • 1

Papers - Fine-tuning - PPO

HyperCLOVA X Technical Report

Paper • 2404.01954 • Published Apr 2 • 19
UltraFeedback: Boosting Language Models with High-quality Feedback

Paper • 2310.01377 • Published Oct 2, 2023 • 5
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Paper • 2305.14387 • Published May 22, 2023 • 1

Papers - University - Tsinghua University

Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1 • 11
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes

Paper • 2404.00987 • Published Apr 1 • 21
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 41
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Paper • 2404.02893 • Published Apr 3 • 19

Papers - Reward Model - Training

Transforming and Combining Rewards for Aligning Large Language Models

Paper • 2402.00742 • Published Feb 1 • 11
UltraFeedback: Boosting Language Models with High-quality Feedback

Paper • 2310.01377 • Published Oct 2, 2023 • 5
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 80
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Paper • 2405.01535 • Published May 2 • 106

Papers - Reward Model

Fine-Tuning Language Models from Human Preferences

Paper • 1909.08593 • Published Sep 18, 2019 • 2
Transforming and Combining Rewards for Aligning Large Language Models

Paper • 2402.00742 • Published Feb 1 • 11
Leverage the Average: an Analysis of KL Regularization in RL

Paper • 2003.14089 • Published Mar 31, 2020 • 2
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

Paper • 2404.01258 • Published Apr 1 • 10

Papers - Training - Critic Model

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Paper • 2305.11738 • Published May 19, 2023 • 3
Shepherd: A Critic for Language Model Generation

Paper • 2308.04592 • Published Aug 8, 2023 • 27
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning

Paper • 2402.14809 • Published Feb 22 • 2
DRLC: Reinforcement Learning with Dense Rewards from LLM Critic

Paper • 2401.07382 • Published Jan 14 • 2

Papers - Ethics

Exploring Large Language Models' Cognitive Moral Development through Defining Issues Test

Paper • 2309.13356 • Published Sep 23, 2023 • 36
Unveiling Safety Vulnerabilities of Large Language Models

Paper • 2311.04124 • Published Nov 7, 2023 • 5
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62
Evaluating Frontier Models for Dangerous Capabilities

Paper • 2403.13793 • Published Mar 20 • 7

Papers - Fine-tuning

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Paper • 2310.20587 • Published Oct 31, 2023 • 15
SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 41
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 43

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