Author

Bingxiang He

Observed name: He, Bingxiang

Institution: Tsinghua University

Observed institution: Tsinghua University

OpenAlex ID: A5121642886

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

2022 · Ganqu Cui, Lifan Yuan, et al. · neural information processing systems · 39

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Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents

2024 · Cheng Qian, Bingxiang He, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 27

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Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT

2023 · Biru Zhu, Lifan Yuan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 16

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Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents

2024 · Qian, Cheng, He, Bingxiang, et al. · arXiv (Cornell University) · 4

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Don't Stop Long-Context Continual Pre-Training Too Early: An Empirical Scaling Law

2026 · Qiao, Ziqing, Xu, Xiaoyue, et al. · arXiv (Cornell University)

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LexPilot: Benchmarking the Proactive Interaction Ability of Legal LLMs with Laypeople in Chinese Civil Case Consultation

2026 · Zhang, Wenbin, Li, ShangZhan, et al. · arXiv (Cornell University)

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AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning

2026 · He, Bingxiang, Sun, Pengqi, et al. · arXiv (Cornell University)

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LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models

2026 · Cai, Yida, Dai, Xin, et al. · arXiv (Cornell University)

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Diffusion Reward Models

2026 · Wang, Xiangyang, He, Bingxiang, et al. · arXiv (Cornell University)

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Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation

2026 · Gao, Huan-ang, Chi, Haohan, et al. · arXiv (Cornell University)

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AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints

2026 · Liu, Jiayu, Qian, Cheng, et al. · arXiv (Cornell University)

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Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization

2026 · Chi, Yizhe, Hong, Deyao, et al. · arXiv (Cornell University)

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Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

2026 · Li, Yaxuan, Zuo, Yuxin, et al. · arXiv (Cornell University)

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How Far Can Unsupervised RLVR Scale LLM Training?

2026 · He, Bingxiang, Zuo, Yuxin, et al. · arXiv (Cornell University)

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Current Agents Fail to Leverage World Model as Tool for Foresight

2026 · Qian, Cheng, Acikgoz, Emre Can, et al. · arXiv (Cornell University)

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StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability?

2026 · Yinghao Chen, Zixi Chen, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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Cognitively Decoupled Meta-Induction for Out-of-Distribution Generalization

2026 · Yuqian Wang, Yuanzheng Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations

2025 · Gao, Huan-ang, Zhang, Zikang, et al. · arXiv (Cornell University)

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AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset

2025 · He, Bingxiang, Zhang, Wenbin, et al. · arXiv (Cornell University)

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The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning

2025 · Bingxiang He, Ning Ding, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

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The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning

2024 · He, Bingxiang, Ding, Ning, et al. · arXiv (Cornell University)

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Works count: 21

Citation count: 86

H-index: 4

I10-index: 3