Papers by Pulkit Pattnaik

1 papers
Enhancing Alignment using Curriculum Learning & Ranked Preferences (2024.findings-emnlp)

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Challenge: Direct Preference Optimization (DPO) is an effective technique that leverages pairwise preference data to align LLMs to human preferences.
Approach: They propose to use pairwise preference data to create multiple preference pairs for a given prompt.
Outcome: The proposed method outperforms standard DPO on MTbench, Vicuna bench, and WizardLM with a score of 7.43 on the test sets.

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