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Collections including paper arxiv:2311.13231

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 99
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
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 • 143
ReFT: Reasoning with Reinforced Fine-Tuning

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

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3 • 28
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3 • 27
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Paper • 2401.00604 • Published Dec 31, 2023 • 4
LARP: Language-Agent Role Play for Open-World Games

Paper • 2312.17653 • Published Dec 24, 2023 • 30

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Paper • 2306.07967 • Published Jun 13, 2023 • 24
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Paper • 2306.07954 • Published Jun 13, 2023 • 113
TryOnDiffusion: A Tale of Two UNets

Paper • 2306.08276 • Published Jun 14, 2023 • 73
Seeing the World through Your Eyes

Paper • 2306.09348 • Published Jun 15, 2023 • 33

LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Paper • 2311.13384 • Published Nov 22, 2023 • 50
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs

Paper • 2311.13600 • Published Nov 22, 2023 • 42
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 47
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Paper • 2311.13231 • Published Nov 22, 2023 • 26

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Paper • 2311.13231 • Published Nov 22, 2023 • 26

Training approaches

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Paper • 2311.13231 • Published Nov 22, 2023 • 26

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Paper • 2311.13231 • Published Nov 22, 2023 • 26
Nash Learning from Human Feedback

Paper • 2312.00886 • Published Dec 1, 2023 • 14
Secrets of RLHF in Large Language Models Part II: Reward Modeling

Paper • 2401.06080 • Published Jan 11 • 25
MusicRL: Aligning Music Generation to Human Preferences

Paper • 2402.04229 • Published Feb 6 • 16

LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Paper • 2311.13384 • Published Nov 22, 2023 • 50
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Paper • 2311.13231 • Published Nov 22, 2023 • 26
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors

Paper • 2310.08529 • Published Oct 12, 2023 • 17
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior

Paper • 2308.13223 • Published Aug 25, 2023 • 2

Super Alignment

Trusted Source Alignment in Large Language Models

Paper • 2311.06697 • Published Nov 12, 2023 • 10
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 47
SuperHF: Supervised Iterative Learning from Human Feedback

Paper • 2310.16763 • Published Oct 25, 2023 • 1
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning

Paper • 2311.15657 • Published Nov 27, 2023 • 2

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