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I am a (Now() - 04/2021).ceil().ordinal() year PhD student studying natural language processing (NLP) at University of Washington.
I am fortunate to be advised by Prof. Yejin Choi and Prof. Hanna Hajishirzi.
I am also a part-time researcher at the Allen Institute for AI.
My current research topics are inspecting massive text corpora, training data attribution, LM pretraining, and scaling laws. During my PhD, I have worked on commonsense knowledge generation and verification, automated theorem proving, RLHF, and text decoding.
Previously, I received B.S. in Computer Science from University of Illinois at Urbana-Champaign, where I worked with Prof. Julia Hockenmaier. I used to work in Facebook's Natural Language Generation (NLG) team.
My name in Chinese characters is 刘嘉程
Email: liujc [at] cs.washington.edu
[CV] [Google Scholar] [GitHub] [Twitter] [LinkedIn]
Research and other blogs: this website and [Zhihu]
Private pilot and other personal life VLOGs: [Bilibili] [YouTube]
Personal: [Facebook]
- (2024.07) Infini-gram and PPO-MCTS are accepted to COLM 2024.
- (2023.10) PPO-MCTS is featured by 机器之心 on WeChat!
- (2023.10) Vera and Crystal are accepted to EMNLP 2023 (main conference).
- (2023.09) The Inverse Scaling paper is accepted to TMLR! Check out our contributed dataset,
memo-trap, where LLMs demonstrate the strongest inverse scaling trends. - (2023.07) I am awarded the Qualcomm Innovation Fellowship for academic year 2023-2024.
- (2023.05) Invited talk the the MLNLP Seminar: Estimating the plausibility of commonsense statements.
- (2023.02) Our submission to the Inverse Scaling Challenge,
memo-trap, receives one of the 11 Third Prizes!
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text \ Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi \ [Arxiv] [Demo]
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback \ Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A Smith, Yejin Choi, Hannaneh Hajishirzi \ NeurIPS 2024 \ [Arxiv] [Code] [Models]
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens \ Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi \ COLM 2024 (Oral Spotlight, 2%) \ [Arxiv] [Project Page] [Demo]
Don't throw away your value model! Making PPO even better via Value-Guided Monte-Carlo Tree Search decoding \ Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz \ COLM 2024 \ [Arxiv] [Code]
Are machines better at complex reasoning? Unveiling human-machine inference gaps in entailment verification \ Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren \ ACL 2024 (Findings) \ [Arxiv] [Model]
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts \ Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao \ ICLR 2024 (Oral); NeurIPS 2023 MATH-AI Workshop \ [Arxiv] [Project Page] [Code] [Dataset] [HF Dataset]
Crystal: Introspective Reasoners Reinforced with Self-Feedback \ Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz \ EMNLP 2023 (Main Conference, Oral) \ [Arxiv] [Code] [Models: large 3b 11b] [Demo]
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements \ Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi \ EMNLP 2023 (Main Conference, Oral) \ [Arxiv] [Code] [Model] [Demo] [Dataset]
Inverse Scaling: When Bigger Isn't Better \ Ian R McKenzie, ..., Jiacheng Liu, ..., Samuel R Bowman, Ethan Perez \ TMLR (2023.10) \ [Arxiv]
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs \ Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothee Lacroix, Jiacheng Liu, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu \ ICLR 2023 (Oral, 5%) \ [Arxiv]
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering \ Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi \ EMNLP 2022 (Main Conference) \ [Arxiv] [Code/Data] [Models: Policy Value] [Demo]
NaturalProver: Grounded Mathematical Proof Generation with Language Models \ Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi \ NeurIPS 2022 \ [Arxiv] [Code]
NaturalProver: Grounded Natural Language Proof Generation with Language Models \ Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi \ AITP 2022 (Contributed Talk) \ [Talk]
Generated Knowledge Prompting for Commonsense Reasoning \ Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi \ ACL 2022 (Main Conference) \ [Arxiv] [Code] [Talk] [Poster]
Towards Grounded Natural Language Proof Generation \ Sean Welleck, Jiacheng Liu, Jesse Michael Han, Yejin Choi \ NeurIPS 2021 MATHAI4ED Workshop (Contributed Talk) \ [Talk] [Poster]
NaturalProofs: Mathematical Theorem Proving in Natural Language \ Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho \ NeurIPS 2021 Datasets and Benchmarks Track (Oral, 1%) \ [Arxiv] [Data/Code/Models] [Project Page] [Talk] [Slides]
NaturalProofs: Mathematics meets Natural Language \ Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho \ AITP 2021 (Contributed Talk) \ [Talk] [Slides]
Phrase Grounding by Soft-Label Chain Conditional Random Field \ Jiacheng Liu, Julia Hockenmaier \ EMNLP-IJCNLP 2019 (Oral) \ [Arxiv] [Code] [Slides]
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations \ Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han \ EMNLP-IJCNLP 2019 (Oral) \ [Arxiv] [Code] [Slides]