Fengran Mo

According to our database, Fengran Mo authored at least 31 papers between 2020 and 2024.

Collaborative distances:

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

2024

Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation.

Qiwei Shao, Fengran Mo, Jian-Yun Nie

CoRR, 2024

TIFG: Text-Informed Feature Generation with Large Language Models.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu

CoRR, 2024

Mixture of Experts Using Tensor Products.

Zhan Su, Fengran Mo, Prayag Tiwari, Benyou Wang, Jian-Yun Nie, Jakob Grue Simonsen

CoRR, 2024

A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers.

Kaiyu Huang, Fengran Mo, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, Jian-Yun Nie, Yang Liu

CoRR, 2024

Language Modeling Using Tensor Trains.

Zhan Su, Yuqin Zhou, Fengran Mo, Jakob Grue Simonsen

CoRR, 2024

A User-Centric Benchmark for Evaluating Large Language Models.

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

CoRR, 2024

ConvSDG: Session Data Generation for Conversational Search.

Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.

Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering.

Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models.

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

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

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search.

Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie

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

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.

Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou

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

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment.

Kelong Mao, Zheng Liu, Hongjin Qian, Fengran Mo, Chenlong Deng, Zhicheng Dou

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

How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval.

Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search.

Fengran Mo, Chen Qu, Kelong Mao, Yihong Wu, Zhan Su, Kaiyu Huang, Jian-Yun Nie

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

History-Aware Conversational Dense Retrieval.

Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie

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

DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution.

Yulong Mao, Kaiyu Huang, Changhao Guan, Ganglin Bao, Fengran Mo, Jinan Xu

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

2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.

Kelong Mao, Zhicheng Dou, Haonan Chen, Fengran Mo, Hongjin Qian

CoRR, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.

Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao

Proceedings of the ACM Web Conference 2023, 2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.

Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal

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

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.

Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian

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

ConvGQR: Generative Query Reformulation for Conversational Search.

Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie

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

Search-Oriented Conversational Query Editing.

Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao

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

A Customized Text Sanitization Mechanism with Differential Privacy.

Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui

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

2022

Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model.

Kaiyu Huang, Keli Xiao, Fengran Mo, Bo Jin, Zhuang Liu, Degen Huang

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

A Customised Text Privatisation Mechanism with Differential Privacy.

Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie

CoRR, 2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.

Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Dynamic Differential-Privacy Preserving SGD.

Jian Du, Song Li, Fengran Mo, Siheng Chen

CoRR, 2021

2020

A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation.

Kaiyu Huang, Degen Huang, Zhuang Liu, Fengran Mo

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020