Liu, Jiacheng

18 publications

ICLR 2025 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

ICML 2025 DataDecide: How to Predict Best Pretraining Data with Small Experiments Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge

NeurIPS 2025 DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration Tianteng Gu, Bei Liu, Bo Xiao, Ke Zeng, Jiacheng Liu, Yanmin Qian

NeurIPS 2025 FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation Jiacheng Cui, Xinyue Bi, Yaxin Luo, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen

ICCV 2025 FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging Zichen Tang, Haihong E, Jiacheng Liu, Zhongjun Yang, Rongjin Li, Zihua Rong, Haoyang He, Zhuodi Hao, Xinyang Hu, Kun Ji, Ziyan Ma, Mengyuan Ji, Jun Zhang, Chenghao Ma, Qianhe Zheng, Yang Liu, Yiling Huang, Xinyi Hu, Qing Huang, Zijian Xie, Shiyao Peng

ICCV 2025 From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Junjie Chen, Linfeng Zhang

ICLRW 2025 Integrating Protein Language Model and Active Learning for Few-Shot Viral Variant Detection Marian Huot, Dianzhuo Wang, Jiacheng Liu, Eugene Shakhnovich

NeurIPS 2025 Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation Yangtao Zhou, Hua Chu, Yongxiang Chen, Ziwen Wang, Jiacheng Liu, Jianan Li, Yueying Feng, Xiangming Li, Zihan Han, Qingshan Li

NeurIPS 2025 Open CaptchaWorld: A Comprehensive Web-Based Platform for Testing and Benchmarking Multimodal LLM Agents Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, Zhiqiang Shen

ICLRW 2024 Are Machines Better at Slow Thinking? Unveiling Human-Machine Inference Gaps in Entailment Verification Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren

NeurIPSW 2024 Best Unpacking DPO and PPO: Disentangling 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

ICLR 2024 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

NeurIPS 2024 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

ICLR 2023 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

TMLR 2023 Inverse Scaling: When Bigger Isn't Better Ian R. McKenzie, Alexander Lyzhov, Michael Martin Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Xudong Shen, Joe Cavanagh, Andrew George Gritsevskiy, Derik Kauffman, Aaron T. Kirtland, Zhengping Zhou, Yuhui Zhang, Sicong Huang, Daniel Wurgaft, Max Weiss, Alexis Ross, Gabriel Recchia, Alisa Liu, Jiacheng Liu, Tom Tseng, Tomasz Korbak, Najoung Kim, Samuel R. Bowman, Ethan Perez

NeurIPSW 2023 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

NeurIPS 2022 NaturalProver: Grounded Mathematical Proof Generation with Language Models Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi

AAAI 2020 Fine-Grained Machine Teaching with Attention Modeling Jiacheng Liu, Xiaofeng Hou, Feilong Tang