Fanqi Wan

According to our database, Fanqi Wan authored at least 29 papers between 2023 and 2026.

Collaborative distances:

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

2026

DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder.

Jiaran Zhang, Luck Ma, Yanhao Li, Fanqi Wan, Di Qi, Xu Zhao, Jieyi Hou, Zhe Xie, Mengqiang Ren, Xin Wu, Zhewei Huang, Liangyu Chen, Yingwei Ma, Qi Han, Xiangyu Zhang

CoRR, February, 2026

STEP3-VL-10B Technical Report.

Ailin Huang, Chengyuan Yao, Chunrui Han, Fanqi Wan, Multimodal Intelligence Team, StepFun, Jianjian Sun, Jingcheng Hu, Kangheng Lin, Liang Zhao, Mitt Huang, Song Yuan, Wenwen Qu, Xiangfeng Wang, Yanlin Lai, Yingxiu Zhao, Yinmin Zhang, Yukang Shi, Yuyang Chen, Zejia Weng, Ziyang Meng, Ang Li, Aobo Kong, Bo Dong

CoRR, January, 2026

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning.

Jingcheng Hu, Yinmin Zhang, Shijie Shang, Xiaobo Yang, Yue Peng, Zhewei Huang, Hebin Zhou, Xin Wu, Jie Cheng, Fanqi Wan, Xiangwen Kong, Chengyuan Yao, Kaiwen Yan, Ailin Huang, Hongyu Zhou, Qi Han, Zheng Ge, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum

CoRR, January, 2026

ProFuser: Progressive Fusion of Large Language Models.

Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang, Minhua Huang, Wu Kai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SPELL: Self-Play Reinforcement Learning for evolving Long-Context Language Models.

Ziyi Yang, Weizhou Shen, Ruijun Chen, Chenliang Li, Fanqi Wan, Ming Yan, Xiaojun Quan, Fei Huang

CoRR, September, 2025

ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents.

Tianjian Liu, Fanqi Wan, Jiajian Guo, Xiaojun Quan

CoRR, August, 2025

QwenLong-CPRS: Towards ∞-LLMs with Dynamic Context Optimization.

Weizhou Shen, Chenliang Li, Fanqi Wan, Shengyi Liao, Shaopeng Lai, Bo Zhang, Yingcheng Shi, Yuning Wu, Gang Fu, Zhansheng Li, Bin Yang, Ji Zhang, Fei Huang, Jingren Zhou, Ming Yan

CoRR, May, 2025

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning.

Fanqi Wan, Weizhou Shen, Shengyi Liao, Yingcheng Shi, Chenliang Li, Ziyi Yang, Ji Zhang, Fei Huang, Jingren Zhou, Ming Yan

CoRR, May, 2025

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization.

Huashan Sun, Shengyi Liao, Yansen Han, Yu Bai, Yang Gao, Cheng Fu, Weizhou Shen, Fanqi Wan, Ming Yan, Ji Zhang, Fei Huang

CoRR, May, 2025

FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion.

Longguang Zhong, Fanqi Wan, Ziyi Yang, Guosheng Liang, Tianyuan Shi, Xiaojun Quan

CoRR, April, 2025

FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion.

Ziyi Yang, Fanqi Wan, Longguang Zhong, Canbin Huang, Guosheng Liang, Xiaojun Quan

CoRR, March, 2025

Weighted-Reward Preference Optimization for Implicit Model Fusion.

Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Advantage-Guided Distillation for Preference Alignment in Small Language Models.

Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FuseChat: Knowledge Fusion of Chat Models.

Fanqi Wan, Longguang Zhong, Ziyi Yang, Ruijun Chen, Xiaojun Quan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ReAlign: Structured Revision for Small Language Model Alignment.

Ruijun Chen, Jiajian Guo, Hongzhan Chen, Fanqi Wan, Qifan Wang, Xiaojun Quan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

BlockPruner: Fine-grained Pruning for Large Language Models.

Longguang Zhong, Fanqi Wan, Ruijun Chen, Xiaojun Quan, Liangzhi Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mutual-Taught for Co-adapting Policy and Reward Models.

Tianyuan Shi, Canbin Huang, Fanqi Wan, Longguang Zhong, Ziyi Yang, Weizhou Shen, Xiaojun Quan, Ming Yan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst.

Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

ProFuser: Progressive Fusion of Large Language Models.

Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang

CoRR, 2024

FuseChat: Knowledge Fusion of Chat Models.

Fanqi Wan, Ziyi Yang, Longguang Zhong, Xiaojun Quan, Xinting Huang, Wei Bi

CoRR, 2024

Mitigating Hallucinations of Large Language Models via Knowledge Consistent Alignment.

Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi

CoRR, 2024

Knowledge Fusion of Large Language Models.

Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, Shuming Shi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Verification to Nip Hallucination in the Bud.

Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Evolution Fine-Tuning for Policy Optimization.

Ruijun Chen, Jiehao Liang, Shiping Gao, Fanqi Wan, Xiaojun Quan

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

2023

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.

Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu

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

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration.

Fanqi Wan, Xinting Huang, Tao Yang, Xiaojun Quan, Wei Bi, Shuming Shi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System.

Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog.

Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan, Wei Bi

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

Clustering-Aware Negative Sampling for Unsupervised Sentence Representation.

Jinghao Deng, Fanqi Wan, Tao Yang, Xiaojun Quan, Rui Wang

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