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Jiacheng Liu 0010
Person information
- affiliation: University of Washington, USA
Other persons with the same name
- Jiacheng Liu — disambiguation page
- Jiacheng Liu 0001
— Shanghai Jiaotong University, School of Software, China
- Jiacheng Liu 0002 — Dalian Maritime University, China
- Jiacheng Liu 0003 — Tianjin University, School of Electrical and Information Engineering, China
- Jiacheng Liu 0004 — University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Jiacheng Liu 0005
- Jiacheng Liu 0006 — Ohio State University, Department of Computer Science, Columbus, OH, USA
- Jiacheng Liu 0007
- Jiacheng Liu 0008
- Jiacheng Liu 0009 — University of Minnesota, Twin Cities. Minneapolis, MN, USA
- Jiacheng Liu 0011 — Southeast University, Zhongda Hospital, Nanjing, China
- Jiacheng Liu 0012 — University College London, Department of Computer Science, UK
- Jiacheng Liu 0013 — Shandong Normal University, Business School, China
- Jiacheng Liu 0014 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, China
- Jiacheng Liu 0015 — Shanghai Jiao Tong University, State Key Laboratory of Advanced Optical Communication Systems and Networks, China
- Jiacheng Liu 0016 — University of Michigan, Transportation Research Institute / Department of Industrial and Operations Engineering, Ann Arbor, MI, USA
- Jiacheng Liu 0017 — Chongqing University of Post and Telecommunications, School of Optoelectronic Engineering, China
- Jiacheng Liu 0018
- Jiacheng Liu 0019 — Shantou University, Shantou, China
- Jiacheng Liu 0020 — Xiangtan University, School of Mathematics and Computational Science, China
- Jiacheng Liu 0021 — Beijing Jiaotong University, MOE Key Laboratory of Luminescence and Optical Information, China
- Jiacheng Liu 0022 — Guangdong University of Science and Technology, School of Marxism, Dongguan, China
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2020 – today
- 2024
- [c9]Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren:
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. ACL (Findings) 2024: 10361-10386 - [c8]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [i14]Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi:
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens. CoRR abs/2401.17377 (2024) - [i13]Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren:
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. CoRR abs/2402.03686 (2024) - [i12]Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. CoRR abs/2406.09279 (2024) - [i11]Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi:
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. CoRR abs/2410.04265 (2024) - 2023
- [j1]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Jiacheng Liu, Wenya Wang
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. EMNLP 2023: 1264-1287 - [c6]Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz:
Crystal: Introspective Reasoners Reinforced with Self-Feedback. EMNLP 2023: 11557-11572 - [c5]Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothée Lacroix, Jiacheng Liu, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu:
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. ICLR 2023 - [i10]Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. CoRR abs/2305.03695 (2023) - [i9]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. CoRR abs/2306.09479 (2023) - [i8]Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz:
Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding. CoRR abs/2309.15028 (2023) - [i7]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR abs/2310.02255 (2023) - [i6]Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz:
Crystal: Introspective Reasoners Reinforced with Self-Feedback. CoRR abs/2310.04921 (2023) - 2022
- [c4]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) 2022: 3154-3169 - [c3]Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi:
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. EMNLP 2022: 8938-8958 - [c2]Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi:
NaturalProver: Grounded Mathematical Proof Generation with Language Models. NeurIPS 2022 - [i5]Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi:
NaturalProver: Grounded Mathematical Proof Generation with Language Models. CoRR abs/2205.12910 (2022) - [i4]Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi:
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. CoRR abs/2210.03078 (2022) - [i3]Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, Wenda Li, Jiacheng Liu, Mateja Jamnik, Timothée Lacroix, Yuhuai Wu, Guillaume Lample:
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. CoRR abs/2210.12283 (2022) - 2021
- [c1]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. NeurIPS Datasets and Benchmarks 2021 - [i2]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. CoRR abs/2104.01112 (2021) - [i1]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. CoRR abs/2110.08387 (2021)
Coauthor Index
aka: Hanna Hajishirzi
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