Publications
2024
- JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework. [PDF][Code]
Fan Liu, Yue Feng, Zhao Xu, Lixin Su, Xinyu Ma, Dawei Yin, Hao Liu
Arxiv
- MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. [PDF][Code]
Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren
EMNLP'2024 Main
- Understanding the Collapse of LLMs in Model Editing. [PDF]
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
EMNLP'2024 Findings
- The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. [PDF][Code][Website]
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
ACL'2024 Findings
2023
- Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. [PDF][Code]
Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
Arxiv 2023
- Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. [PDF][Code]
Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Fan Yixing, Hongyu Shan, Qishen Zhang, Zhongyi Liu
CIKM'2023, (Short Paper)
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. [PDF][Code]
Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
EMNLP'2023 (Full Paper) Outstanding Paper Award
2022
- Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. [PDF][Slides]
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng.
CIKM'2022, (Full Paper)
- A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval [PDF]
Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng.
CIKM'2022, (Short Paper)
2021
- Pre-training Methods in Information Retrieval. [PDF][Code]
Yixing Fan*, Xiaohui Xie*, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo. (*Equal contribution)
Foundations and Trends® in Information Retrieval. (I wrote Section 4 and Section 6.)
- Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. [PDF][Code][Slides][Video]
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng.
SIGIR'2022, (Full Paper, Acceptance Rate = 20%)
2020
- B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. [PDF][Code][Slides][Video]
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixin Fan, Yingyan Li, Xueqi Cheng.
SIGIR'2021, (Full Paper, Acceptance Rate = 21%)
- PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. [PDF][Code][Slides][Video]
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixin Fan, Xiang Ji, Xueqi Cheng.
WSDM'2021, (Full Oral Paper, Acceptance Rate = 18.6%)
- A Linguistic Study on Relevance Modeling in Information Retrieval. [PDF][Video]
Yixin Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng.
WWW'2021, (Full Paper, Acceptance Rate = 20.6%)
- 关于短文本匹配的泛化性和迁移性的研究分析(An Empirical Investigation of Generalization and Transfer in Short Text Matching). [PDF]
Xinyu Ma, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Lixin Su, Xueqi Cheng.
计算机研究与发展'2021, (CCF A 中文期刊)