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Collections including paper arxiv:2406.11817

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 16
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 13

Learning from feedback dir

Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12, 2024 • 11
Policy Improvement using Language Feedback Models

Paper • 2402.07876 • Published Feb 12, 2024 • 9
Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7, 2024 • 35
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2, 2024 • 69

Super Alignment

Trusted Source Alignment in Large Language Models

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

Paper • 2311.12908 • Published Nov 21, 2023 • 49
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

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Paper • 2402.12366 • Published Feb 19, 2024 • 3
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16, 2024 • 37
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks

Paper • 2404.14723 • Published Apr 23, 2024 • 10
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 28

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 59
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 47

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Paper • 2310.17752 • Published Oct 26, 2023 • 15
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 30
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 21
Fine-tuning Language Models for Factuality

Paper • 2311.08401 • Published Nov 14, 2023 • 30

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 16
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 13

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Paper • 2402.12366 • Published Feb 19, 2024 • 3
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16, 2024 • 37
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks

Paper • 2404.14723 • Published Apr 23, 2024 • 10
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 28

Learning from feedback dir

Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12, 2024 • 11
Policy Improvement using Language Feedback Models

Paper • 2402.07876 • Published Feb 12, 2024 • 9
Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7, 2024 • 35
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2, 2024 • 69

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 59
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 47

Super Alignment

Trusted Source Alignment in Large Language Models

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

Paper • 2311.12908 • Published Nov 21, 2023 • 49
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

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Paper • 2310.17752 • Published Oct 26, 2023 • 15
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 30
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 21
Fine-tuning Language Models for Factuality

Paper • 2311.08401 • Published Nov 14, 2023 • 30

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