Liu, Jiacheng

24 publications

ICLR 2026 CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang

ICLR 2026 HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-Then-Forecast Diffusion Acceleration Liang Feng, Shikang Zheng, Jiacheng Liu, Yuqi Lin, Qinming Zhou, Peiliang Cai, Xinyu Wang, Junjie Chen, Chang Zou, Yue Ma, Linfeng Zhang

ICLR 2026 Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers Shikang Zheng, Guantao Chen, Qinming Zhou, Yuqi Lin, Lixuan He, Chang Zou, Peiliang Cai, Jiacheng Liu, Linfeng Zhang

ICLR 2026 Not Search, but Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning Rongjin Li, Zichen Tang, Xianghe Wang, Xinyi Hu, Zhengyu Wang, Zhengyu Lu, Yiling Huang, Jiayuan Chen, Weisheng Tan, Jiacheng Liu, Zhongjun Yang, Haihong E

ICLR 2026 THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics Tzu-Yen Ma, Bo Zhang, Zichen Tang, Junpeng Ding, Haolin Tian, Yuanze Li, Zhuodi Hao, Zixin Ding, Zirui Wang, Xinyu Yu, Shiyao Peng, Yizhuo Zhao, Ruomeng Jiang, Yiling Huang, Peizhi Zhao, Jiayuan Chen, Weisheng Tan, Haocheng Gao, Yang Liu, Jiacheng Liu, Zhongjun Yang, Jiayu Huang, Haihong E

ICLR 2026 Towards a Foundation Model for Crowdsourced Label Aggregation Hao Liu, Jiacheng Liu, Feilong Tang, Long Chen, Jiadi Yu, Yanmin Zhu, Qiwen Dong, Yichuan Yu, Xiaofeng Hou

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