Hongfu Liu (刘洪甫)
Contact: liu (dot) hongfu [at] u (dot) nus (dot) edu
Hi! I am a fourth-year Ph.D. student in SMC Lab at National University of Singapore. I am fortunate to be advised by Prof. Ye Wang. Previously, I obtained my Bachelor’s degree in Computer Science at Zhejiang University.
I am broadly interested in machine learning for NLP, Speech, Multimodality topics. Currently, I focus more on improving large language/multimodal foundation models from two directions: (1) Audio-Language: designing data-efficient approaches for better language and speech understanding; (2) Trustworthy: investigating the risks and enhancing the robustness and safety.
I am always open to collaborations and feel free to reach out if you share similar interests!
News
Sep, 2024 | Our paper “Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models” and “Advancing Test-Time Adaptation in Wild Acoustic Test Settings” got accepted to EMNLP 2024 (two Main)! Many thanks to all my collaborators! Can’t wait to meet you in Miami! |
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Aug, 2024 | Our paper “Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations” received the Area Chair Award at ACL 2024! Congrats to Yisong and the whole team! |
May, 2024 | Our paper “Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations” and “Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset” got accepted to ACL 2024 (one Main and one Finding)! Congrats to all co-authors! |
Oct, 2023 | Our paper “Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning” got accepted to the EMNLP 2023 (Finding)! Thanks to my advisor! |
May, 2023 | Our paper “Zero-Shot Automatic Pronunciation Assessment” got accepted to Interspeech 2023! Thanks to all collaborators! |
Nov, 2022 | Our paper “Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation” got accepted to NeurIPS 2022! Congrats to all co-authors! |
May, 2022 | I passed my Ph.D. Qualifying Examination (PQE) and became a Ph.D. candidate! Many thanks to my advisor! |
May, 2021 | Our paper “STRODE: Stochastic Boundary Ordinary Differential Equation” got accepted to ICML 2021! Thanks to all collaborators! |
Selected Publications
(*) denotes equal contribution
Academic Services
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Conference Reviewers:
ACL Rolling Review (2023&2024), NeurIPS (2024), ICLR (2024&2025), IJCAI (2024)
Teaching
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CS4347: Sound and Music Computing (2022 Spring / 2022 Fall)
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CS5242: Neural Networks and Deep Learning (2021 Fall / 2023 Spring)
MISC
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I am a big fan of live music and attend numerous concerts every year, enjoying a wide variety of music genres. My favorate genre is R&B.
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I also enjoy traveling and exploring different cultures, especially experiencing diverse cuisines from around the world.