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Jul 9, 2024
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Mar 7, 2024
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May 8, 2025
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A Critical Evaluation of AI Feedback for Aligning Large Language Models
Paper • 2402.12366 • Published • 3 -
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Paper • 2401.08417 • Published • 37 -
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
Paper • 2404.14723 • Published • 10 -
Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 28
Collection by 
Mar 7, 2024
Collection by 
Jul 28, 2025
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QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 65 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631 -
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
Paper • 2406.11139 • Published • 13 -
Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs
Paper • 2502.16901 • Published
Collection by Jul 9, 2024
Collection by Mar 7, 2024
Collection by 
Mar 7, 2024
Collection by Mar 7, 2024
Collection by 
Mar 7, 2024
Collection by May 8, 2025
-
A Critical Evaluation of AI Feedback for Aligning Large Language Models
Paper • 2402.12366 • Published • 3 -
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Paper • 2401.08417 • Published • 37 -
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
Paper • 2404.14723 • Published • 10 -
Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 28
Collection by 
Feb 17
Collection by Mar 7, 2024
Collection by 
Mar 7, 2024
Collection by Jul 28, 2025
-
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 65 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631 -
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
Paper • 2406.11139 • Published • 13 -
Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs
Paper • 2502.16901 • Published