Fengran Mo

According to our database, Fengran Mo authored at least 93 papers between 2020 and 2026.

Collaborative distances:

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

2026

Dynamic asymmetric relational learning for stock price movement prediction.

Ruifeng Yang, Mingyuan Fan, Fengran Mo, Hua Wei, Cen Chen

Data Min. Knowl. Discov., August, 2026

A survey on large language models with multilingualism: recent advances and new frontiers.

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

Artif. Intell. Rev., June, 2026

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium.

Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke

CoRR, April, 2026

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation.

Rui Qi, Fengran Mo, Sijin Lu, Yufeng Chen, Jian-Yun Nie, Kaiyu Huang

CoRR, April, 2026

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models.

Yuxing Tian, Fengran Mo, Zhiqi Huang, Weixu Zhang, Jian-Yun Nie

CoRR, April, 2026

StaRPO: Stability-Augmented Reinforcement Policy Optimization.

Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Ruimin Dai, Xiaoyan Han, Yanjie Fu, Dakuo Wang, Kunpeng Liu

CoRR, April, 2026

SynPlanResearch-R1: Encouraging Tool Exploration for Deep Research with Synthetic Plans.

Hansi Zeng, Zoey Li, Yifan Gao, Chenwei Zhang, Xiaoman Pan, Tao Yang, Fengran Mo, Jiacheng Lin, Xian Li, Jingbo Shang

CoRR, March, 2026

Towards Dynamic Dense Retrieval with Routing Strategy.

Zhan Su, Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Bingbing Wen, Jian-Yun Nie

CoRR, February, 2026

Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision.

Yuxing Tian, Yiyan Qi, Fengran Mo, Weixu Zhang, Jian Guo, Jian-Yun Nie

CoRR, February, 2026

Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation.

Yan Wang, Yi Han, Lingfei Qian, Yueru He, Xueqing Peng, Dongji Feng, Zhuohan Xie, Vincent Jim Zhang, Rosie Guo, Fengran Mo, Jimin Huang, Yankai Chen, Xue Liu, Jian-Yun Nie

CoRR, February, 2026

Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation.

Rui Qi, Fengran Mo, Yufeng Chen, Xue Zhang, Shuo Wang, Hongliang Li, Jinan Xu, Meng Jiang, Jian-Yun Nie, Kaiyu Huang

CoRR, January, 2026

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning.

Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang

CoRR, January, 2026

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG.

Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie

CoRR, January, 2026

MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues.

Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang

CoRR, January, 2026

Re-Rankers as Relevance Judges.

Chuan Meng, Jiqun Liu, Mohammad Aliannejadi, Fengran Mo, Jeff Dalton, Maarten de Rijke

CoRR, January, 2026

When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life.

Xinyue Lou, Jinan Xu, Jingyi Yin, Xiaolong Wang, Zhaolu Kang, Youwei Liao, Yixuan Wang, Xiangyu Shi, Fengran Mo, Su Yao, Kaiyu Huang

CoRR, January, 2026

A Survey of Model Architectures in Information Retrieval.

Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang Phillips, Jimmy Lin, Vivek Srikumar

Trans. Mach. Learn. Res., 2026

Leveraging historical information to boost retrieval-augmented generation in conversations.

Fengran Mo, Yifan Gao, Zhuofeng Wu, Xin Liu, Pei Chen, Zheng Li, Zhengyang Wang, Xian Li, Meng Jiang, Jian-Yun Nie

Inf. Process. Manag., 2026

VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering.

Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang

Proceedings of the ACM Web Conference 2026, 2026

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG.

Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie

Proceedings of the ACM Web Conference 2026, 2026

Conversational Search: Foundations, Large Language Models, and Agents.

Chuan Meng, Fengran Mo, Mohammad Aliannejadi, Jeff Dalton, Jian-Yun Nie

Proceedings of the Advances in Information Retrieval, 2026

Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer.

Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Xinyue Ye, Dongjie Wang, Yanjie Fu, Kunpeng Liu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting.

Yuxing Tian, Fengran Mo, Weixu Zhang, Yiyan Qi, Jian-Yun Nie

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval.

Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Survey of Conversational Search.

Fengran Mo, Kelong Mao, Ziliang Zhao, Hongjin Qian, Haonan Chen, Yiruo Cheng, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Jian-Yun Nie

ACM Trans. Inf. Syst., November, 2025

Measuring the Impact of Lexical Training Data Coverage on Hallucination Detection in Large Language Models.

Shuo Zhang, Fabrizio Gotti, Fengran Mo, Jian-Yun Nie

CoRR, November, 2025

Parametric Retrieval-Augmented Generation using Latent Routing of LoRA Adapters.

Zhan Su, Fengran Mo, Jian-Yun Nie

CoRR, November, 2025

CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories.

Yilong Lai, Yipin Yang, Jialong Wu, Fengran Mo, Zhenglin Wang, Ting Liang, Jianguo Lin, Keping Yang

CoRR, October, 2025

Rethinking On-policy Optimization for Query Augmentation.

Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Jie Cao, Vivek Srikumar

CoRR, October, 2025

Instant Personalized Large Language Model Adaptation via Hypernetwork.

Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang

CoRR, October, 2025

FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs.

Yan Wang, Keyi Wang, Shanshan Yang, Jaisal Patel, Jeff Zhao, Fengran Mo, Xueqing Peng, Lingfei Qian, Jimin Huang, Guojun Xiong, Xiao-Yang Liu, Jian-Yun Nie

CoRR, October, 2025

Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs.

Jia Ao Sun, Hao Yu, Fabrizio Gotti, Fengran Mo, Yihong Wu, Yuchen Hui, Jian-Yun Nie

CoRR, October, 2025

WeatherArchive-Bench: Benchmarking Retrieval-Augmented Reasoning for Historical Weather Archives.

Yongan Yu, Xianda Du, Qingchen Hu, Jiahao Liang, Jingwei Ni, Dan Qiang, Kaiyu Huang, Grant McKenzie, Renée Sieber, Fengran Mo

CoRR, October, 2025

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models.

Chuan Li, Qianyi Zhao, Fengran Mo, Cen Chen

CoRR, August, 2025

Adaptive Personalized Conversational Information Retrieval.

Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie

CoRR, August, 2025

Tensorized Clustered LoRA Merging for Multi-Task Interference.

Zhan Su, Fengran Mo, Guojun Liang, Jinghan Zhang, Bingbing Wen, Prayag Tiwari, Jian-Yun Nie

CoRR, August, 2025

An Entity Linking Agent for Question Answering.

Yajie Luo, Yihong Wu, Muzhi Li, Fengran Mo, Jia Ao Sun, Xinyu Wang, Liheng Ma, Yingxue Zhang, Jian-Yun Nie

CoRR, August, 2025

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks.

Kai Liu, Zhan Su, Peijie Dong, Fengran Mo, Jianfei Gao, Shaoting Zhang, Kai Chen

CoRR, July, 2025

Future Link Prediction Without Memory or Aggregation.

Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye

CoRR, May, 2025

OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence.

Long Yuan, Fengran Mo, Kaiyu Huang, Wenjie Wang, Wangyuxuan Zhai, Xiaoyu Zhu, You Li, Jinan Xu, Jian-Yun Nie

CoRR, March, 2025

LEKA:LLM-Enhanced Knowledge Augmentation.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

CoRR, January, 2025

Can Large Language Models Understand Preferences in Personalized Recommendation?

Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang

CoRR, January, 2025

Conversational Search: From Fundamentals to Frontiers in the LLM Era.

Fengran Mo, Chuan Meng, Mohammad Aliannejadi, Jian-Yun Nie

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations.

Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Continual Learning for Multilingual Neural Machine Translation via Meta-Contrastive Memory Replay.

Lin Zhou, Degen Huang, Junpeng Liu, Fengran Mo, Kaiyu Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2025

LEKA: LLM-Enhanced Knowledge Augmentation.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics.

Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Retrieval-Augmented Feature Generation for Domain-Specific Classification.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dakshak Keerthi Chandra, Yu-Zhong Chen, Fei Xie, Kunpeng Liu

Proceedings of the IEEE International Conference on Data Mining, 2025

SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models.

Rui Qi, Zhibo Man, Yufeng Chen, Fengran Mo, Jinan Xu, Kaiyu Huang

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

Multilingual Collaborative Defense for Large Language Models.

Hongliang Li, Jinan Xu, Gengping Cui, Changhao Guan, Fengran Mo, Kaiyu Huang

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

Boosting Data Utilization for Multilingual Dense Retrieval.

Chao Huang, Fengran Mo, Yufeng Chen, Changhao Guan, Zhenrui Yue, Xinyu Wang, Jinan Xu, Kaiyu Huang

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

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering.

Xinyu Wang, Jijun Chi, Zhenghan Tai, Tung Sum Thomas Kwok, Hailin He, Zhuhong Li, Yuchen Hua, Muzhi Li, Peng Lu, Suyuchen Wang, Yihong Wu, Jerry Huang, Jingrui Tian, Fengran Mo, Yufei Cui, Ling Zhou

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Towards Adaptive Personalized Conversational Information Retrieval.

Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

CSMD: Curated Multimodal Dataset for Chinese Stock Analysis.

Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation.

Yiruo Cheng, Hongjin Qian, Fengran Mo, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen, Zhicheng Dou

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models.

Yongan Yu, Qingchen Hu, Xianda Du, Jiayin Wang, Fengran Mo, Renée Sieber

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

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations.

Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang

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

Entropy-based Exploration Conduction for Multi-step Reasoning.

Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu

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

2024

Mixture of Latent Experts Using Tensor Products.

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

Trans. Mach. Learn. Res., 2024

Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.

Jinghan Zhang, Fengran Mo, Xiting Wang, Kunpeng Liu

CoRR, 2024

Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation.

Qiwei Shao, Fengran Mo, Jian-Yun Nie

CoRR, 2024

Retrieval-Augmented Feature Generation for Domain-Specific Classification.

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

RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search.

Yuchen Hui, Fengran Mo, Milan Mao, Jian-Yun Nie

Proceedings of the Thirty-Third Text REtrieval Conference, 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

RALI@TREC iKAT 2023: Generative Query Reformulation for Conversational Information Seeking.

Fengran Mo, Bole Yi, Jian-Yun Nie

Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 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