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Choon Hui Teo

3 accepted papers

2025

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Qizhang Feng, Siva Rajesh Kasa, SANTHOSH KUMAR KASA, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
AISTATS 2025poster

Large Language Models (LLMs) have seen widespread adoption due to their remarkable natural language capabilities. However, when deploying them in real-world settings, it is important to align LLMs to generate texts according to acceptable human standards. Methods such as Proximal Policy Optimization…

Cited by 0Source ↗Scholar ↗
2025

Learning to Rewrite Negation Queries in Product Search

Mengtian Guo, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Rahul Bhagat
COLING 2025industry

In product search, negation is frequently used to articulate unwanted product features or components. Modern search engines often struggle to comprehend negations, resulting in suboptimal user experiences. While various methods have been proposed to tackle negations in search, none of them took the…

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2022

MICO: Selective Search with Mutual Information Co-training

Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
COLING 2022main

In contrast to traditional exhaustive search, selective search first clusters documents into several groups before all the documents are searched exhaustively by a query, to limit the search executed within one group or only a few groups. Selective search is designed to reduce the latency and comput…

Cited by 2Source ↗PDF ↗code ↗Scholar ↗