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feralvam committed Feb 1, 2025
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# Documentation: https://wowchemy.com/docs/managing-content/

title: "Seminar: \"Preference Alignment, with Reference Mismatch, and without Reference Models\""
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location: Abacws
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summary: Talk by [James Thorne](https://jamesthorne.com/) (KAIST Graduate School of AI)
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."

# Talk start and end times.
# End time can optionally be hidden by prefixing the line with `#`.
date: 2025-02-06T13:00:00Z
date_end: 2025-02-06T14:00:00Z
all_day: false

# Schedule page publish date (NOT event date).
publishDate: 2025-02-01T00:00:00Z

authors: [alvamanchegof]
tags: []

# Is this a featured event? (true/false)
featured: false

# Featured image
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image:
caption: ""
focal_point: ""
preview_only: false

# Custom links (optional).
# Uncomment and edit lines below to show custom links.
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# - name: Follow
# url: https://twitter.com
# icon_pack: fab
# icon: twitter

# Optional filename of your slides within your event's folder or a URL.
url_slides:

url_code:
url_pdf:
url_video:

# Markdown Slides (optional).
# Associate this event with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides: ""

# Projects (optional).
# Associate this post with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
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projects: []
---

**Invited Speaker:** [James Thorne](https://jamesthorne.com/) (KAIST Graduate School of AI)

**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

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