Feifan Song

According to our database, Feifan Song authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality.

Wen Luo, Guangyue Peng, Liang Wang, Nan Yang, Wei Li, Yuhan Song, Shaohang Wei, Feifan Song, Furu Wei, Houfeng Wang

CoRR, May, 2026

TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions.

Linli Yao, Yuancheng Wei, Yaojie Zhang, Lei Li, Xinlong Chen, Feifan Song, Ziyue Wang, Kun Ouyang, Yuanxin Liu, Lingpeng Kong, Qi Liu, Pengfei Wan, Kun Gai, Yuanxing Zhang, Xu Sun

CoRR, February, 2026

Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations.

Wen Luo, Guangyue Peng, Wei Li, Shaohang Wei, Feifan Song, Liang Wang, Nan Yang, Xingxing Zhang, Jing Jin, Furu Wei, Houfeng Wang

CoRR, January, 2026

P-Aligner: Pre-Aligning LLMs via Principled Instruction Synthesis.

Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Mitigating Overthinking through Reasoning Shaping.

Feifan Song, Shaohang Wei, Bofei Gao, Yejie Wang, Wen Luo, Wei Li, Linli Yao, Weimin Xiong, Liang Chen, Tianyu Liu, Houfeng Wang

CoRR, October, 2025

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis.

Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang

CoRR, August, 2025

TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios.

Shaohang Wei, Wei Li, Feifan Song, Wen Luo, Tianyi Zhuang, Haochen Tan, Zhijiang Guo, Houfeng Wang

CoRR, May, 2025

Instantly Learning Preference Alignment via In-context DPO.

Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang

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

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models.

Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MPO: Boosting LLM Agents with Meta Plan Optimization.

Weimin Xiong, Yifan Song, Qingxiu Dong, Bingchan Zhao, Feifan Song, Xun Wang, Sujian Li

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

ATLANTIS: Weak-to-Strong Learning via Importance Sampling.

Yi Liu, Guoyin Wang, Shicheng Li, Feifan Song, Xu Sun

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

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning.

Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang

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

Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding.

Feifan Song, Shaohang Wei, Wen Luo, Yuxuan Fan, Tianyu Liu, Guoyin Wang, Houfeng Wang

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

Odysseus Navigates the Sirens' Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation.

Wen Luo, Feifan Song, Wei Li, Guangyue Peng, Shaohang Wei, Houfeng Wang

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

2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2024

ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization.

Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang

CoRR, 2024

A Unified Framework for Multi-Intent Spoken Language Understanding with Prompting.

Feifan Song, Lianzhe Huang, Houfeng Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment.

Feifan Song, Bowen Yu, Hao Lang, Haiyang Yu, Fei Huang, Houfeng Wang, Yongbin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Preference Ranking Optimization for Human Alignment.

Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Making Large Language Models Better Reasoners with Alignment.

Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui

CoRR, 2023

API-Bank: A Benchmark for Tool-Augmented LLMs.

Minghao Li, Feifan Song, Bowen Yu, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li

CoRR, 2023

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li

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

2022

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy.

Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022