Tianle Li

According to our database, Tianle Li authored at least 55 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Counterfactual Debiasing Heterogeneous Ability-Induced Exercise Indices Estimation for Cognitive Diagnosis.

Haiping Ma, Tianle Li, Changqian Wang, Siyu Song, Limiao Zhang, Xingyi Zhang

IEEE Trans. Knowl. Data Eng., June, 2026

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison.

Tianle Li, Xuyang Shen, Yan Ma, Rongxin Guo, Shaoxiang Chen, Jiacheng Chen, Haochen Wang, Hongyang Tang, Yucong Zhou, Yu Cheng

CoRR, May, 2026

STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?

Hanxiang Chao, Yihan Bai, Rui Sheng, Tianle Li, Yushi Sun

CoRR, May, 2026

AesRM: Improving Video Aesthetics with Expert-Level Feedback.

Yujin Han, Yujie Wei, Yefei He, Xinyu Liu, Tianle Li, Zichao Yu, Andi Han, Shiwei Zhang, Tingyu Weng, Difan Zou

CoRR, April, 2026

MemoryDiorama: Generating Dynamic 3D Diorama from Everyday Photos for Memory Recall.

Keiichi Ihara, Tianle Li, Yasuhisa Shiino, Ryo Suzuki

CoRR, April, 2026

What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom.

Yan Ma, Weiyu Zhang, Tianle Li, Linge Du, Xuyang Shen, Pengfei Liu

CoRR, February, 2026

EvoOpt-LLM: Evolving industrial optimization models with large language models.

Yiliu He, Tianle Li, Binghao Ji, Zhiyuan Liu, Di Huang

CoRR, February, 2026

Data-driven departure time and traffic assignment model for intercity multimodal transport system.

Di Huang, Ziyu Liu, Tianle Li, Ziyuan Gu

Comput. Ind. Eng., 2026

BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries.

Tianle Li, Yongming Rao, Winston Hu, Yu Cheng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization.

Daojian Zeng, Tianle Li, Jiahao Yang, Jiacai Yi, Xieping Gao, Lincheng Jiang, Tengfei Ma, Xiangxiang Zeng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Differentiable Evolutionary Reinforcement Learning.

Sitao Cheng, Tianle Li, Xuhan Huang, Xunjian Yin, Difan Zou

CoRR, December, 2025

Diagnose, Correct, and Learn from Manipulation Failures via Visual Symbols.

Xianchao Zeng, Xinyu Zhou, Youcheng Li, Jiayou Shi, Tianle Li, Liangming Chen, Lei Ren, Yong-Lu Li

CoRR, December, 2025

A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization.

Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu

CoRR, November, 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, June, 2025

On the Mechanism of Reasoning Pattern Selection in Reinforcement Learning for Language Models.

Xingwu Chen, Tianle Li, Difan Zou

CoRR, June, 2025

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation.

Jihai Zhang, Tianle Li, Linjie Li, Zhengyuan Yang, Yu Cheng

CoRR, May, 2025

On the Robustness of Transformers against Context Hijacking for Linear Classification.

Tianle Li, Chenyang Zhang, Xingwu Chen, Yuan Cao, Difan Zou

CoRR, February, 2025

Prompt-to-Leaderboard.

Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios N. Angelopoulos, Ion Stoica

CoRR, February, 2025

Long-context LLMs Struggle with Long In-context Learning.

Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen

Trans. Mach. Learn. Res., 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

Optimizing Spectrum Sharing in Low-Altitude Intelligent Networks: A Model-Based Reinforcement Learning Approach.

Tianle Li, Qingyu Liu, Peixi Peng

Proceedings of the 24th IEEE International Conference on Trust, 2025

Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model.

Tianle Li, Jihai Zhang, Yongming Rao, Yu Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios.

Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu

Proceedings of the 54th International Conference on Parallel Processing, 2025

From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline.

Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations.

Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica

Proceedings of the Forty-second International Conference on Machine Learning, 2025

AutoEval Done Right: Using Synthetic Data for Model Evaluation.

Pierre Boyeau, Anastasios Nikolas Angelopoulos, Tianle Li, Nir Yosef, Jitendra Malik, Michael I. Jordan

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-Scale Feature Fusion-Based Shilling Attack Detection Algorithm.

Junjie Jia, Tianle Li, Wei Zhao, Zhiru Liu, Jiabin Feng

Proceedings of the 6th International Conference on Computing, 2025

Exploring Exercises Selection Methods for Computerized Adaptive Testing Based on Large Language Models.

Tianle Li, Hai Wang, Haiping Ma

Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

2024

The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5.

Tianle Li, Bingbing Xu, Weike Lu, Zidan Chen, Sizheng Zhang, Fanjun Xia

Sensors, August, 2024

Gaussian distribution resampling via Chebyshev distance for food computing.

Tianle Li, Enguang Zuo, Chen Chen, Cheng Chen, Jie Zhong, Junyi Yan, Xiaoyi Lv

Appl. Soft Comput., January, 2024

An Integrated Framework for Landscape Indices' Calculation with Raster-Vector Integration and Its Application Based on QGIS.

Yaqi Huang, Minrui Zheng, Tianle Li, Fei Xiao, Xinqi Zheng

ISPRS Int. J. Geo Inf., 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

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development.

Tengfei Ma, Xuan Lin, Tianle Li, Chaoyi Li, Long Chen, Peng Zhou, Xibao Cai, Xinyu Yang, Daojian Zeng, Dong-Sheng Cao, Xiangxiang Zeng

CoRR, 2024

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GenAI Arena: An Open Evaluation Platform for Generative Models.

Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Threshold-Based Automated Pest Detection System for Sustainable Agriculture.

Tianle Li, Jia Shu, Qinghong Chen, Murad Mehrab Abrar, John Raiti

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2024

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ImagenHub: Standardizing the evaluation of conditional image generation models.

Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SWAG: Storytelling With Action Guidance.

Jonathan Pei, Zeeshan Patel, Karim El-Refai, Tianle Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Feature Fusion for Multi-Condition Controllable Image Generation.

Pengfei Zhao, Sheng Lin, Ziqing Li, Tianle Li

Proceedings of the 2024 8th International Conference on Big Data and Internet of Things, 2024

A Privacy-Preserving Aggregation Method via Grouped Secure Multi-Party Computation.

Ziqing Li, Sheng Lin, Tianle Li, Pengfei Zhao

Proceedings of the Proceeding of the 5th Asia Service Sciences and Software Engineering Conference, 2024

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., November, 2023

DreamEdit: Subject-driven Image Editing.

Tianle Li, Max Ku, Cong Wei, Wenhu Chen

Trans. Mach. Learn. Res., 2023

A Masked Attention Network with Query Sparsity Measurement for Time Series Anomaly Detection.

Jie Zhong, Enguang Zuo, Chen Chen, Cheng Chen, Junyi Yan, Tianle Li, Xiaoyi Lv

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Rethinking graph anomaly detection: A self-supervised Group Discrimination paradigm with Structure-Aware.

Junyi Yan, Enguang Zuo, Chen Chen, Cheng Chen, Jie Zhong, Tianle Li, Xiaoyi Lv

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Few-shot In-context Learning on Knowledge Base Question Answering.

Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

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

CoRR, 2022

A Simple Yet Efficient Method for Adversarial Word-Substitute Attack.

Tianle Li, Yi Yang

CoRR, 2022

Fake News Detection with Heterogeneous Transformer.

Tianle Li, Yushi Sun, Shang-Ling Hsu, Yanjia Li, Raymond Chi-Wing Wong

CoRR, 2022

2019

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