Li, Xian

23 publications

CVPR 2025 Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models Jin Wang, Chenghui Lv, Xian Li, Shichao Dong, Huadong Li, Kelu Yao, Chao Li, Wenqi Shao, Ping Luo

NeurIPS 2025 Incomplete Multi-View Clustering via Hierarchical Semantic Alignment and Cooperative Completion Xiaojian Ding, Lin Zhao, Xian Li, Xiaoying Zhu

ICML 2025 Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E Weston, Tianlu Wang

NeurIPS 2025 NaturalReasoning: Reasoning in the Wild with 2.8m Challenging Questions Weizhe Yuan, Jane Yu, Song Jiang, Karthik Padthe, Yang Li, Dong Wang, Ilia Kulikov, Kyunghyun Cho, Yuandong Tian, Jason E Weston, Xian Li

NeurIPS 2025 Self-Challenging Language Model Agents Yifei Zhou, Sergey Levine, Jason E Weston, Xian Li, Sainbayar Sukhbaatar

NeurIPS 2025 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Bingchen Zhao, Despoina Magka, Minqi Jiang, Xian Li, Roberta Raileanu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Kelvin Niu, Shagun Sodhani, Michael Shvartsman, Andrei Lupu, Alisia Maria Lupidi, Karen Hambardzumyan, Martin Josifoski, Edan Toledo, Thomas Foster, Lucia Cipolina-Kun, Derek Dunfield, Abhishek Charnalia, Alexander H Miller, Oisin Mac Aodha, Jakob Nicolaus Foerster, Yoram Bachrach

ICLRW 2025 Training Large Language Models to Reason in a Continuous Latent Space Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason E Weston, Yuandong Tian

ICLRW 2024 Chain-of-Verification Reduces Hallucination in Large Language Models Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason E Weston

ICML 2024 DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation Qinshuo Liu, Zixin Wang, Xi’An Li, Xinyao Ji, Lei Zhang, Lin Liu, Zhonghua Liu

ICML 2024 MEMORYLLM: Towards Self-Updatable Large Language Models Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian Mcauley

ICMLW 2024 RNR: Teaching Large Language Models to Follow Roles and Rules Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li

ICLR 2024 Self-Alignment with Instruction Backtranslation Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason E Weston, Mike Lewis

ICML 2024 Self-Rewarding Language Models Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason E Weston

NeurIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

ECCVW 2024 TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang

NeurIPSW 2024 Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning Song Jiang, Da Ju, Andrew Cohen, Sasha Mitts, Aaron Foss, Justine T Kao, Xian Li, Yuandong Tian

AISTATS 2021 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

ICCV 2021 Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition Yaobin Zhang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen

NeurIPS 2021 Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling Hongyu Gong, Yun Tang, Juan Pino, Xian Li

NeurIPS 2021 Robust Optimization for Multilingual Translation with Imbalanced Data Xian Li, Hongyu Gong

NeurIPS 2020 Cross-Lingual Retrieval for Iterative Self-Supervised Training Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu

NeurIPS 2020 Deep Transformers with Latent Depth Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong

ICML 2017 Deep Voice: Real-Time Neural Text-to-Speech Sercan Ö. Arık, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi