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2020 – today
- 2025
[j1]Jinfan Hu
, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong:
Interpreting Low-Level Vision Models With Causal Effect Maps. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 6396-6409 (2025)- [c20]Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu:
From Imitation to Introspection: Probing Self-Consciousness in Language Models. ACL (Findings) 2025: 7553-7583 - [c19]Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu:
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. ACL (1) 2025: 10978-10995 - [c18]Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang:
Adversarial Preference Learning for Robust LLM Alignment. ACL (Findings) 2025: 21865-21881 - [c17]Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu:
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability. ICLR 2025 - [c16]Shu Yu, Chaochao Lu:
ADAM: An Embodied Causal Agent in Open-World Environments. ICLR 2025 - [i44]Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou:
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? CoRR abs/2502.04725 (2025) - [i43]Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu:
Emergent Response Planning in LLM. CoRR abs/2502.06258 (2025) - [i42]Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - [i41]Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu:
IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. CoRR abs/2504.00954 (2025) - [i40]Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu:
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. CoRR abs/2504.10893 (2025) - [i39]Joshua Clymer, Isabella Duan, Chris Cundy, Yawen Duan, Fynn Heide, Chaochao Lu, Sören Mindermann, Conor McGurk, Xudong Pan, Saad Siddiqui, Jingren Wang, Min Yang, Xianyuan Zhan:
Bare Minimum Mitigations for Autonomous AI Development. CoRR abs/2504.15416 (2025) - [i38]Sirui Chen, Shuqin Ma, Shu Yu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu:
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks. CoRR abs/2505.19806 (2025) - [i37]Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang:
Adversarial Preference Learning for Robust LLM Alignment. CoRR abs/2505.24369 (2025) - [i36]Bo Peng, Zhiheng Wang, Heyang Gong, Chaochao Lu:
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data. CoRR abs/2506.02449 (2025) - [i35]Xiaoying Zhang, Hao Sun, Yipeng Zhang, Kaituo Feng, Chaochao Lu, Chao Yang, Helen Meng:
Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback. CoRR abs/2506.03106 (2025) - [i34]Zhanhui Zhou, Lingjie Chen, Chao Yang, Chaochao Lu:
VLMs Can Aggregate Scattered Training Patches. CoRR abs/2506.03614 (2025) - [i33]Zixian Gao, Chao Yang, Zhanhui Zhou, Xing Xu, Chaochao Lu:
Mitigating Object Hallucination via Robust Local Perception Search. CoRR abs/2506.06729 (2025) - [i32]Lei Xu, Sirui Chen, Yuxuan Huang, Chaochao Lu:
Synthesis by Design: Controlled Data Generation via Structural Guidance. CoRR abs/2506.07664 (2025) - [i31]Jiachen Ma, Zhanhui Zhou, Chao Yang, Chaochao Lu:
SafeCoT: Improving VLM Safety with Minimal Reasoning. CoRR abs/2506.08399 (2025) - [i30]Siheng Li, Zhanhui Zhou, Wai Lam, Chao Yang, Chaochao Lu:
RePO: Replay-Enhanced Policy Optimization. CoRR abs/2506.09340 (2025) - [i29]Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sanchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic:
The Singapore Consensus on Global AI Safety Research Priorities. CoRR abs/2506.20702 (2025) - [i28]Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evans:
Epitome: Pioneering an Experimental Platform for AI-Social Science Integration. CoRR abs/2507.01061 (2025) - [i27]Zichen Wen, Jiashu Qu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang:
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs. CoRR abs/2507.11097 (2025) - [i26]Xiaoyang Chen, Yunhao Chen, Zeren Chen, Zhiyun Chen, Hanyun Cui, Yawen Duan, Jiaxuan Guo, Qi Guo, Xuhao Hu, Hong Huang, Lige Huang, Chunxiao Li, Juncheng Li, Qihao Lin, Dongrui Liu, Xinmin Liu, Zicheng Liu, Chaochao Lu, Xiaoya Lu, Jingjing Qu, Qibing Ren, Jing Shao, Jingwei Shi, Jingwei Sun, Peng Wang, Weibing Wang, Jia Xu, Lewen Yan, Xiao Yu, Yi Yu, Boxuan Zhang, Jie Zhang, Weichen Zhang, Zhijie Zheng, Tianyi Zhou, Bowen Zhou:
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report. CoRR abs/2507.16534 (2025) - [i25]Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu:
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. CoRR abs/2507.18576 (2025) - [i24]Xinquan Chen, Bangwei Liu, Xuhong Wang, Yingchun Wang, Chaochao Lu:
VRPRM: Process Reward Modeling via Visual Reasoning. CoRR abs/2508.03556 (2025) - 2024
- [c15]Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao:
ConditionVideo: Training-Free Condition-Guided Video Generation. AAAI 2024: 4459-4467 - [c14]Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang:
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. AAAI 2024: 15193-15201 - [c13]Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu:
CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP (Findings) 2024: 6247-6265 - [c12]Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu:
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. EMNLP (Findings) 2024: 16449-16469 - [c11]Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu:
CELLO: Causal Evaluation of Large Vision-Language Models. EMNLP 2024: 22353-22374 - [c10]Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen:
Prediction with Action: Visual Policy Learning via Joint Denoising Process. NeurIPS 2024 - [i23]Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang:
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR abs/2401.15071 (2024) - [i22]Heyang Gong, Chaochao Lu, Yu Zhang:
Distribution-consistency Structural Causal Models. CoRR abs/2401.15911 (2024) - [i21]Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu:
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. CoRR abs/2403.18346 (2024) - [i20]Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu:
Causal Evaluation of Language Models. CoRR abs/2405.00622 (2024) - [i19]Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu:
CLEAR: Can Language Models Really Understand Causal Graphs? CoRR abs/2406.16605 (2024) - [i18]Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu:
CELLO: Causal Evaluation of Large Vision-Language Models. CoRR abs/2406.19131 (2024) - [i17]Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong:
Interpreting Low-level Vision Models with Causal Effect Maps. CoRR abs/2407.19789 (2024) - [i16]Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu:
From Imitation to Introspection: Probing Self-Consciousness in Language Models. CoRR abs/2410.18819 (2024) - [i15]Shu Yu, Chaochao Lu:
ADAM: An Embodied Causal Agent in Open-World Environments. CoRR abs/2410.22194 (2024) - [i14]Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, Jing Shao:
OASIS: Open Agent Social Interaction Simulations with One Million Agents. CoRR abs/2411.11581 (2024) - [i13]Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen:
Prediction with Action: Visual Policy Learning via Joint Denoising Process. CoRR abs/2411.18179 (2024) - [i12]Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu:
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability. CoRR abs/2411.19456 (2024) - [i11]Chao Yang, Chaochao Lu, Yingchun Wang, Bowen Zhou:
Towards AI-45° Law: A Roadmap to Trustworthy AGI. CoRR abs/2412.14186 (2024) - [i10]Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen:
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations. CoRR abs/2412.14803 (2024) - 2023
- [c9]Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao:
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI 2023: 4729-4737 - [c8]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS 2023 - [i9]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR abs/2306.04933 (2023) - [i8]Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao:
ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation. CoRR abs/2310.07697 (2023) - 2022
- [c7]Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang:
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. ICLR 2022 - [c6]Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf:
Invariant Causal Representation Learning for Out-of-Distribution Generalization. ICLR 2022 - [c5]Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang:
Action-Sufficient State Representation Learning for Control with Structural Constraints. ICML 2022: 9260-9279 - 2021
- [i7]Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf:
Nonlinear Invariant Risk Minimization: A Causal Approach. CoRR abs/2102.12353 (2021) - [i6]Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang:
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. CoRR abs/2107.02729 (2021) - [i5]Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang:
Action-Sufficient State Representation Learning for Control with Structural Constraints. CoRR abs/2110.05721 (2021) - 2020
- [i4]Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman:
Interpreting Spatially Infinite Generative Models. CoRR abs/2007.12411 (2020) - [i3]Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf:
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation. CoRR abs/2012.09092 (2020)
2010 – 2019
- 2018
- [i2]Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato:
Deconfounding Reinforcement Learning in Observational Settings. CoRR abs/1812.10576 (2018) - 2017
- [c4]Chaochao Lu, Michael Hirsch, Bernhard Schölkopf:
Flexible Spatio-Temporal Networks for Video Prediction. CVPR 2017: 2137-2145 - 2015
- [c3]Chaochao Lu, Xiaoou Tang:
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. AAAI 2015: 3811-3819 - 2014
- [c2]Chaochao Lu, Xiaoou Tang:
Learning the Face Prior for Bayesian Face Recognition. ECCV (4) 2014: 119-134 - [i1]Chaochao Lu, Xiaoou Tang:
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. CoRR abs/1404.3840 (2014) - 2013
- [c1]Chaochao Lu, Deli Zhao, Xiaoou Tang:
Face Recognition Using Face Patch Networks. ICCV 2013: 3288-3295
Coauthor Index
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