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Collections including paper arxiv:2310.20624

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

LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Paper • 2311.05556 • Published Nov 9, 2023 • 80
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Paper • 2311.11501 • Published Nov 20, 2023 • 33
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 28
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Paper • 2310.20624 • Published Oct 31, 2023 • 12

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

Interesting ones

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Paper • 2310.20624 • Published Oct 31, 2023 • 12
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Paper • 2310.20587 • Published Oct 31, 2023 • 16
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B

Paper • 2311.00117 • Published Oct 31, 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Paper • 2303.08320 • Published Mar 15, 2023 • 3

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Paper • 2310.20624 • Published Oct 31, 2023 • 12
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 2
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 24
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47

Safe RLHF: Safe Reinforcement Learning from Human Feedback

Paper • 2310.12773 • Published Oct 19, 2023 • 28
The Generative AI Paradox: "What It Can Create, It May Not Understand"

Paper • 2311.00059 • Published Oct 31, 2023 • 18
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Paper • 2310.20624 • Published Oct 31, 2023 • 12
Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 22
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 16
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Paper • 2309.05516 • Published Sep 11, 2023 • 9
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs

Paper • 2309.03907 • Published May 18, 2023 • 8

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