Bohan Zhang
Bohan Zhang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Jing Zhang, Jie Tang, Ke Wang.
OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 21 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8725
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 1 workSoftware · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation (2024 · 21 citations)
SpreadsheetBench tackles a weakness in how LLM-based spreadsheet assistants are evaluated. Earlier benchmarks rely on synthetic or crowdsourced instructions, simple single-table sheets, and a single check per task. The authors collected solved questions from four Excel help forums (ExcelForum, Chandoo, MrExcel… - Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts (2026 · 4 citations)
Long reasoning rollouts in LLM reinforcement learning store large KV caches. This memory cost limits batch sizes and GPU utilization, especially since rollout generation takes most of the training time. The authors ask whether training-free KV compression, built for inference, can be used during rollouts. They find… - MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction (2026)
Rollout generation consumes most of the compute in reinforcement-learning fine-tuning of LLMs, especially when models produce long reasoning chains.
All works
- SpreadsheetBench: Towards Challenging Real World Spreadsheet ManipulationConference on Neural Information Processing Systems (NeurIPS)Zeyao Ma, Bohan Zhang, Jing Zhang, et al.2024 · 21 citations
- Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse RolloutsAnnual Meeting of the Association for Computational Linguistics (ACL)Sijia Luo, Xiaokang Zhang, Yuxuan Hu, et al.2026 · 4 citations
- MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token PredictionFindings of the Association for Computational LinguisticsKe Wang, Aohan Zeng, Zhengxiao Du, et al.2026
- Agentic Economic Modeling ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · no summary yetBohan Zhang et al.2026
Co-authors here
- Jing Zhang ×3
- Jie Tang ×2
- Ke Wang ×2
- Sijia Luo ×2
- Xiaokang Zhang ×2
- Yuxuan Hu ×2
- Aohan Zeng
- Jifan Yu
- Lei Liang
- Mengshu Sun
- Xi Wang
- Xiaohan Zhang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
Cited by
Updated
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