A Multi-Stage Model for the Electromagnetic Shielding Effectiveness Prediction of an Infinite Conductor Plane With Periodic Apertures. - Wanxin Bai; Anqi Guo; Tianle Li; Ruiqi Cheng; Chongqing Jiao (IEEE Access, 2019)

Fake News Detection with Heterogeneous Transformer. - Tianle Li; Yushi Sun; Shang-Ling Hsu; Yanjia Li; Raymond Chi-Wing Wong (CoRR, 2022)

A Simple Yet Efficient Method for Adversarial Word-Substitute Attack. - Tianle Li; Yi Yang (CoRR, 2022)

ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization. - Lingbo Li; Tianle Li; Xinyi He; Mengyu Zhou; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information. - Xinyi He; Mengyu Zhou; Jialiang Xu; Xiao Lv; Tianle Li; Yijia Shao; Shi Han; Zejian Yuan; Dongmei Zhang 001 (CoRR, 2022)

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks. - Xinyi He; Mengyu Zhou; Mingjie Zhou; Jialiang Xu; Xiao Lv; Tianle Li; Yijia Shao; Shi Han; Zejian Yuan; Dongmei Zhang 001 (ACL (Findings), 2023)

Few-shot In-context Learning on Knowledge Base Question Answering. - Tianle Li; Xueguang Ma; Alex Zhuang; Yu Gu 016; Yu Su 001; Wenhu Chen (ACL (1), 2023)

Rethinking graph anomaly detection: A self-supervised Group Discrimination paradigm with Structure-Aware. - Junyi Yan; Enguang Zuo; Chen Chen 078; Cheng Chen; Jie Zhong; Tianle Li; Xiaoyi Lv (ICME, 2023)

A Masked Attention Network with Query Sparsity Measurement for Time Series Anomaly Detection. - Jie Zhong; Enguang Zuo; Chen Chen 078; Cheng Chen; Junyi Yan; Tianle Li; Xiaoyi Lv (ICME, 2023)

DreamEdit: Subject-driven Image Editing. - Tianle Li; Max Ku; Cong Wei 001; Wenhu Chen (Trans. Mach. Learn. Res., 2023)

Function2vec: A Geographic Knowledge Graph Model of Urban Function Evolution and Its Application. - Tianle Li; Minrui Zheng; Xiaoli Wang; Xinqi Zheng (ISPRS Int. J. Geo Inf., 2023)

A Privacy-Preserving Aggregation Method via Grouped Secure Multi-Party Computation. - Ziqing Li; Sheng Lin; Tianle Li; Pengfei Zhao (ASSE, 2024)

Feature Fusion for Multi-Condition Controllable Image Generation. - Pengfei Zhao; Sheng Lin; Ziqing Li; Tianle Li (BDIOT, 2024)

SWAG: Storytelling With Action Guidance. - Jonathan Pei; Zeeshan Patel; Karim El-Refai; Tianle Li (EMNLP (Findings), 2024)

ImagenHub: Standardizing the evaluation of conditional image generation models. - Max Ku; Tianle Li; Kai Zhang 033; Yujie Lu; Xingyu Fu; Wenwen Zhuang; Wenhu Chen (ICLR, 2024)

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. - Lianmin Zheng; Wei-Lin Chiang; Ying Sheng 007; Tianle Li; Siyuan Zhuang; Zhanghao Wu; Yonghao Zhuang 001; Zhuohan Li 001; Zi Lin; Eric P. Xing; Joseph E. Gonzalez; Ion Stoica; et al. (ICLR, 2024)

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. - Wei-Lin Chiang; Lianmin Zheng; Ying Sheng 007; Anastasios Nikolas Angelopoulos; Tianle Li; Dacheng Li; Banghua Zhu; Hao Zhang 025; Michael I. Jordan; Joseph E. Gonzalez; Ion Stoica (ICML, 2024)

Threshold-Based Automated Pest Detection System for Sustainable Agriculture. - Tianle Li; Jia Shu; Qinghong Chen; Murad Mehrab Abrar; John Raiti (IoTaIS, 2024)

GenAI Arena: An Open Evaluation Platform for Generative Models. - Dongfu Jiang; Max Ku; Tianle Li; Yuansheng Ni; Shizhuo Sun; Rongqi Fan; Wenhu Chen (NeurIPS, 2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Yubo Wang; Xueguang Ma; Ge Zhang 009; Yuansheng Ni; Abhranil Chandra; Shiguang Guo; Weiming Ren; Aaran Arulraj; Xuan He; Ziyan Jiang; Tianle Li; Max Ku; et al. (NeurIPS, 2024)

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. - Tianle Li; Wei-Lin Chiang; Evan Frick; Lisa Dunlap; Tianhao Wu 002; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica (CoRR, 2024)

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development. - Tengfei Ma 002; Xuan Lin; Tianle Li; Chaoyi Li; Long Chen; Peng Zhou 006; Xibao Cai; Xinyu Yang; Daojian Zeng; Dong-Sheng Cao 001; Xiangxiang Zeng (CoRR, 2024)

Project MPG: towards a generalized performance benchmark for LLM capabilities. - Lucas Spangher; Tianle Li; William F. Arnold; Nick Masiewicki; Xerxes Dotiwalla; Rama Parusmathi; Peter Grabowski; Eugene Ie; Daniel Gruhl (CoRR, 2024)

Gaussian distribution resampling via Chebyshev distance for food computing. - Tianle Li; Enguang Zuo; Chen Chen 078; Cheng Chen; Jie Zhong; Junyi Yan; Xiaoyi Lv (Appl. Soft Comput., 2024)

The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5. - Tianle Li; Bingbing Xu 007; Weike Lu; Zidan Chen; Sizheng Zhang; Fanjun Xia (Sensors, 2024)

Multi-Scale Feature Fusion-Based Shilling Attack Detection Algorithm. - Junjie Jia; Tianle Li; Wei Zhao; Zhiru Liu; Jiabin Feng (CNIOT, 2025)

How to Evaluate Reward Models for RLHF. - Evan Frick; Tianle Li; Connor Chen; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Jiantao Jiao; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica (ICLR, 2025)

Chatbot Arena Estimate: towards a generalized performance benchmark for LLM capabilities. - Lucas Spangher; Tianle Li; William F. Arnold; Nick Masiewicki; Xerxes Dotiwalla; Rama Kumar Pasumarthi; Peter Grabowski; Eugene Ie; Daniel Gruhl (NAACL (Industry Track), 2025)

A Single-Ended Fault Location Method for DC Transmission Lines Based on Inverse Distance Weighted Interpolation. - Dongli Jia; Xiaoyu Yang; Kaiyuan He; Feng Deng; Zhentong Wang; Tianle Li (IEEE Access, 2025)

Long-context LLMs Struggle with Long In-context Learning. - Tianle Li; Ge Zhang 009; Quy Duc Do; Xiang Yue; Wenhu Chen (Trans. Mach. Learn. Res., 2025)

Prompt-to-Leaderboard. - Evan Frick; Connor Chen; Joseph Tennyson; Tianle Li; Wei-Lin Chiang; Anastasios N. Angelopoulos; Ion Stoica (CoRR, 2025)

On the Robustness of Transformers against Context Hijacking for Linear Classification. - Tianle Li; Chenyang Zhang; Xingwu Chen; Yuan Cao 006; Difan Zou (CoRR, 2025)

BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries. - Tianle Li; Yongming Rao; Winston Hu; Yu Cheng (CoRR, 2025)

Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model. - Tianle Li; Jihai Zhang; Yongming Rao; Yu Cheng (CoRR, 2025)

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation. - Jihai Zhang; Tianle Li; Linjie Li; Zhengyuan Yang; Yu Cheng (CoRR, 2025)

On the Mechanism of Reasoning Pattern Selection in Reinforcement Learning for Language Models. - Xingwu Chen; Tianle Li; Difan Zou (CoRR, 2025)

Search Arena: Analyzing Search-Augmented LLMs. - Mihran Miroyan; Tsung-Han Wu; Logan King; Tianle Li; Jiayi Pan; Xinyan Hu; Wei-Lin Chiang; Anastasios N. Angelopoulos; Trevor Darrell; Narges Norouzi; Joseph E. Gonzalez (CoRR, 2025)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios. - Tianle Li; Yongzhi Huang 002; Linshan Jiang; Qipeng Xie; Chang Liu; Wenfeng Du; Lu Wang 002; Kaishun Wu (CoRR, 2025)