Xiachong Feng

According to our database, Xiachong Feng authored at least 50 papers between 2018 and 2026.

Collaborative distances:

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

2026

Large language models meet NLP: a survey.

Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu

Frontiers Comput. Sci., November, 2026

OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model.

Qiguang Chen, Chengyu Luan, Jiajun Wu, Qiming Yu, Yi Yang, Yizhuo Li, Jingqi Tong, Xiachong Feng, Libo Qin, Wanxiang Che

CoRR, April, 2026

SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution.

Xiachong Feng, Yi Jiang, Xiaocheng Feng, Deyi Yin, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Yuxuan Gu, Chonghan Qin, Bing Qin, Lingpeng Kong

CoRR, April, 2026

Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play.

Xiachong Feng, Deyi Yin, Xiaocheng Feng, Yi Jiang, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Qiming Li, Yuxuan Gu, Bing Qin, Lingpeng Kong

CoRR, April, 2026

x1: Learning to Think Adaptively Across Languages and Cultures.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Yichong Huang, Zekun Yuan, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Dandan Tu, Bing Qin

CoRR, April, 2026

ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models.

Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong

CoRR, April, 2026

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra.

Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin

CoRR, February, 2026

Proxy Compression for Language Modeling.

Lin Zheng, Xinyu Li, Qi Liu, Xiachong Feng, Lingpeng Kong

CoRR, February, 2026

Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management.

Weitao Ma, Xiaocheng Feng, Lei Huang, Xiachong Feng, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Bing Qin

CoRR, January, 2026

Game-theoretic evaluation of strategic reasoning in large language models: From complete coverage to compositional complexity.

Yu Guo, Haochuan Wang, Xiachong Feng

Neurocomputing, 2026

LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation.

Qiming Li, Zekai Ye, Xiaocheng Feng, Weihong Zhong, Weitao Ma, Xiachong Feng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering.

Qiming Li, Xiaocheng Feng, Yixuan Ma, Zekai Ye, Ruihan Chen, Xiachong Feng, Bing Qin

CoRR, November, 2025

Adaptive Backtracking for Privacy Protection in Large Language Models.

Zhihao Yao, Yuxuan Gu, Xiachong Feng, Weitao Ma, Bo Li, Xiaocheng Feng

CoRR, August, 2025

One for All: Update Parameterized Knowledge Across Multiple Models.

Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin

CoRR, June, 2025

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

CoRR, May, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin

CoRR, February, 2025

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios.

Xiachong Feng, Longxu Dou, Minzhi Li, Qinghao Wang, Yu Guo, Haochuan Wang, Chang Ma, Lingpeng Kong

Trans. Mach. Learn. Res., 2025

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.

Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin

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

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis.

Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Xiachong Feng, Bing Qin

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.

Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin

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

One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit.

Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin

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

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin

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

Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yuxuan Gu, Yangfan Ye, Liang Zhao, Weihong Zhong, Baoxin Wang, Dayong Wu, Guoping Hu, Lingpeng Kong, Tong Xiao, Ting Liu, Bing Qin

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

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios.

Jinyang Huang, Xiachong Feng, Qiguang Chen, Hanjie Zhao, Zihui Cheng, Jiesong Bai, Jingxuan Zhou, Min Li, Libo Qin

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

Reasoning Does Not Necessarily Improve Role-Playing Ability.

Xiachong Feng, Longxu Dou, Lingpeng Kong

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

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective.

Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin

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

2024

Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization.

Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Libo Qin, Yichong Huang, Lei Huang, Weitao Ma, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin

CoRR, 2024

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios.

Xiachong Feng, Longxu Dou, Ella Li, Qinghao Wang, Haochuan Wang, Yu Guo, Chang Ma, Lingpeng Kong

CoRR, 2024

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks.

Botian Jiang, Lei Li, Xiaonan Li, Zhaowei Li, Xiachong Feng, Lingpeng Kong, Qi Liu, Xipeng Qiu

CoRR, 2024

TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs.

Haochuan Wang, Xiachong Feng, Lei Li, Zhanyue Qin, Dianbo Sui, Lingpeng Kong

CoRR, 2024

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding.

Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu

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

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.

Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

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

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin

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

2023

Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding.

Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu

CoRR, 2023

The Role of Summarization in Generative Agents: A Preliminary Perspective.

Xiachong Feng, Xiaocheng Feng, Bing Qin

CoRR, 2023

Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning.

Xiachong Feng, Xiaocheng Feng, Bing Qin

CoRR, 2023

Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5.

Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Hierarchical Catalogue Generation for Literature Review: A Benchmark.

Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin

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

2022

A Survey on Dialogue Summarization: Recent Advances and New Frontiers.

Xiachong Feng, Xiaocheng Feng, Bing Qin

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization.

Xiachong Feng, Xiaocheng Feng, Bing Qin

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey.

Yi-Chong Huang, Xiachong Feng, Xiaocheng Feng, Bing Qin

CoRR, 2021

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization.

Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.

Xiachong Feng, Xiaocheng Feng, Bing Qin

Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization.

Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization.

Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu

CoRR, 2020

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.

Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu

CoRR, 2020

2018

Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer.

Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018