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Friday 31 January 2025, 12:00-13:00
Preference Alignment, with Reference Mismatch, and without Reference Models
- 👤 Speaker: James Thorne (KAIST)
- 📅 Date & Time: Friday 31 January 2025, 12:00 - 13:00
- 📍 Venue: Room SS03 with Hybrid Format. Here is the Zoom link for those that wish to join online: https://cam-ac-uk.zoom.us/j/4751389294?pwd=Z2ZOSDk0eG1wZldVWG1GVVhrTzFIZz09
Abstract
Abstract: In this talk, I’ll cover two recent papers for preference alignment: Odds-Ratio Preference Optimisation (ORPO, EMNLP 2024 ), discussing the role of the reference model for preference alignment (e.g. DPO , RLHF), and Margin-aware Preference Optimization (under review @ CVPR ), thinking about the risks of reference mismatch: where the preference alignment data has features diverging from the reference model.
Bio: James is Assistant Professor at the KAIST Graduate School of AI, South Korea, working on large-scale and knowledge-intensive natural language understanding. James recently completed his PhD at the University of Cambridge where he developed models and methods for automated fact verification and correction.
[1] https://aclanthology.org/2024.emnlp-main.626/ [2] https://arxiv.org/pdf/2406.06424
Series This talk is part of the NLIP Seminar Series series.
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