Papers by Thang Luong
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation (2024.findings-acl)
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Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc Le, Thang Luong
| Challenge: | Modern large language models often "hallucinate" plausible but factually incorrect information, which reduces their trustworthiness especially in settings where accurate and up-to-date information is critical. |
| Approach: | They develop a human evaluation procedure to measure correctness and hallucination and use it to benchmark both closed and open-source LLMs. |
| Outcome: | The proposed method outperforms both competing search engine-augmented prompting methods and commercial systems on search-augmented QA. |
Towards Robust Mathematical Reasoning (2025.emnlp-main)
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Thang Luong, Dawsen Hwang, Hoang H Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu Hoang Trinh, Quoc V Le, Junehyuk Jung
| Challenge: | IMO-Bench is a suite of advanced reasoning benchmarks that targets the international mathematical Olympiad level. |
| Approach: | They propose IMO-Bench, a suite of advanced reasoning benchmarks that targets the level of the international mathematical Olympiad. |
| Outcome: | IMO-Bench is a suite of advanced reasoning benchmarks that targets the level of the international mathematical Olympiad. |