Tianle Cai - RankMe

65 papers A* 21B 1Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learn Hard Problems During RL with Reference Guided Fine-tuning. CoRR Yangzhen Wu, Shanda Li, Zixin Wen, Xin Zhou, Ameet Talwalkar, Yiming Yang, Wenhao Huang, Tianle Cai
2026	J	`jnl`	The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL. CoRR Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang
2025	J	`jnl`	A Survey on Latent Reasoning. CoRR Ruijie Zhu, Tianhao Peng, Tianhao Cheng, Xingwei Qu, Jinfa Huang, Dawei Zhu, Hao Wang, Kaiwen Xue, Xuanliang Zhang, Yong Shan, Tianle Cai, Taylor Kergan, Assel Kembay, Andrew Smith, Chenghua Lin, Binh Nguyen, Yuqi Pan, Yuhong Chou, Zefan Cai, Zhenhe Wu, Yongchi Zhao, Tianyu Liu, Jian Yang, Wangchunshu Zhou, Chujie Zheng, Chongxuan Li, Yuyin Zhou, Zhoujun Li, Zhaoxiang Zhang, Jiaheng Liu, Ge Zhang, Wenhao Huang, Jason Eshraghian
2025	A*	`conf`	CommVQ: Commutative Vector Quantization for KV Cache Compression. ICML Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan
2025	J	`jnl`	CommVQ: Commutative Vector Quantization for KV Cache Compression. CoRR Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan
2025	J	`jnl`	FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction. CoRR Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Jinpeng Wang, Zaiyuan Wang, Yang Yang, Lingyue Yin, Mingren Yin, Zhenwei Zhu, Tianle Cai, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Shuang Ni, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xin Zhou, Jose H. Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang
2025	A*	`conf`	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. ICML Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
2025	J	`jnl`	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. CoRR Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
2025	J	`jnl`	Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning. CoRR Jiayun Wu, Jiashuo Liu, Zhiyuan Zeng, Tianyang Zhan, Tianle Cai, Wenhao Huang
2025	J	`jnl`	Radial Attention: O(n log n) Sparse Attention with Energy Decay for Long Video Generation. CoRR Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han
2025	A*	`conf`	SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. ICLR Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
2025	J	`jnl`	Scaling Latent Reasoning via Looped Language Models. CoRR Rui-Jie Zhu, Zixuan Wang, Kai Hua, Tianyu Zhang, Ziniu Li, Haoran Que, Boyi Wei, Zixin Wen, Fan Yin, He Xing, Lu Li, Jiajun Shi, Kaijing Ma, Shanda Li, Taylor Kergan, Andrew Smith, Xingwei Qu, Mude Hui, Bohong Wu, Qiyang Min, Hongzhi Huang, Xun Zhou, Wei Ye, Jiaheng Liu, Jian Yang, Yunfeng Shi, Chenghua Lin, Enduo Zhao, Tianle Cai, Ge Zhang, Wenhao Huang, Yoshua Bengio, Jason Eshraghian
2025	J	`jnl`	Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning. CoRR Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang
2025	A*	`conf`	Training-Free Activation Sparsity in Large Language Models. ICLR James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun
2025	A*	`conf`	Unnatural Languages Are Not Bugs but Features for LLMs. ICML Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh
2025	J	`jnl`	Unnatural Languages Are Not Bugs but Features for LLMs. CoRR Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh
2024	A*	`conf`	Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling. NeurIPS Yiran Zhao, Wenyue Zheng, Tianle Cai, Do Xuan Long, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh
2024	J	`jnl`	Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh
2024	A*	`conf`	BitDelta: Your Fine-Tune May Only Be Worth One Bit. NeurIPS James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai
2024	J	`jnl`	BitDelta: Your Fine-Tune May Only Be Worth One Bit. CoRR James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai
2024	A*	`conf`	DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CVPR Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han
2024	J	`jnl`	DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CoRR Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han
2024	—	`conf`	FlexAttention for Efficient High-Resolution Vision-Language Models. ECCV (25) Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan
2024	J	`jnl`	FlexAttention for Efficient High-Resolution Vision-Language Models. CoRR Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan
2024	B	`conf`	Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. CogSci Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
2024	J	`jnl`	Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. CoRR Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
2024	J	`jnl`	JetMoE: Reaching Llama2 Performance with 0.1M Dollars. CoRR Yikang Shen, Zhen Guo, Tianle Cai, Zengyi Qin
2024	A*	`conf`	Large Language Models as Tool Makers. ICLR Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
2024	A*	`conf`	Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. ICML Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
2024	J	`jnl`	Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. CoRR Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
2024	—	`conf`	REST: Retrieval-Based Speculative Decoding. NAACL-HLT Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He
2024	J	`jnl`	SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. CoRR Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
2024	A*	`conf`	SnapKV: LLM Knows What You are Looking for Before Generation. NeurIPS Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
2024	J	`jnl`	SnapKV: LLM Knows What You are Looking for Before Generation. CoRR Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
2024	J	`jnl`	Training-Free Activation Sparsity in Large Language Models. CoRR James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun
2023	J	`jnl`	Large Language Models as Tool Makers. CoRR Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
2023	J	`jnl`	REST: Retrieval-Based Speculative Decoding. CoRR Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He
2023	J	`jnl`	Reward Collapse in Aligning Large Language Models. CoRR Ziang Song, Tianle Cai, Jason D. Lee, Weijie J. Su
2023	J	`jnl`	Scaling In-Context Demonstrations with Structured Attention. CoRR Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang
2023	A*	`conf`	What Makes Convolutional Models Great on Long Sequence Modeling? ICLR Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
2022	J	`jnl`	Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond. CoRR Yuzheng Hu, Tianle Cai, Jinyong Shan, Shange Tang, Chaochao Cai, Ethan Song, Bo Li, Dawn Song
2022	J	`jnl`	What Makes Convolutional Models Great on Long Sequence Modeling? CoRR Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
2021	A*	`conf`	A Theory of Label Propagation for Subpopulation Shift. ICML Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei
2021	J	`jnl`	A Theory of Label Propagation for Subpopulation Shift. CoRR Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei
2021	J	`jnl`	Do Transformers Really Perform Bad for Graph Representation? CoRR Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	A*	`conf`	Do Transformers Really Perform Badly for Graph Representation? NeurIPS Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	J	`jnl`	First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. CoRR Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He
2021	A*	`conf`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
2021	A*	`conf`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	J	`jnl`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	A*	`conf`	Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. ICML Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
2021	J	`jnl`	Towards Certifying 𝓁 CoRR Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
2021	A*	`conf`	Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021	J	`jnl`	Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2020	J	`jnl`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
2020	A*	`conf`	Locally Differentially Private (Contextual) Bandits Learning. NeurIPS Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Locally Differentially Private (Contextual) Bandits Learning. CoRR Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020	J	`jnl`	RANDOM MASK: Towards Robust Convolutional Neural Networks. CoRR Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang
2020	A*	`conf`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2020	J	`jnl`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2019	J	`jnl`	A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. CoRR Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang
2019	J	`jnl`	Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
2019	J	`jnl`	Convergence of Adversarial Training in Overparametrized Networks. CoRR Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee
2019	A*	`conf`	Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee
2019	J	`jnl`	Defective Convolutional Layers Learn Robust CNNs. CoRR Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang