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Collections including paper arxiv:2405.00675

mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Paper • 2406.11839 • Published 9 days ago • 35
Pandora: Towards General World Model with Natural Language Actions and Video States

Paper • 2406.09455 • Published 14 days ago • 12
WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published 9 days ago • 13
In-Context Editing: Learning Knowledge from Self-Induced Distributions

Paper • 2406.11194 • Published 10 days ago • 14

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Paper • 2402.12366 • Published Feb 19 • 3
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 56
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 179
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16 • 28

Interesting things.

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1 • 8
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 572
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 106

Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7 • 25
Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12 • 8
Reformatted Alignment

Paper • 2402.12219 • Published Feb 19 • 15
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 19

Grandmaster-Level Chess Without Search

Paper • 2402.04494 • Published Feb 7 • 65
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6 • 25
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 19
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 58

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 84
NEFTune: Noisy Embeddings Improve Instruction Finetuning

Paper • 2310.05914 • Published Oct 9, 2023 • 13
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 55
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

Paper • 2401.03462 • Published Jan 7 • 25

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 • 22
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 45

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