Xin Zhang

According to our database, Xin Zhang authored at least 25 papers between 2021 and 2026.

Collaborative distances:

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

2026

LMEB: Long-horizon Memory Embedding Benchmark.

Xinping Zhao, Xinshuo Hu, Jiaxin Xu, Danyu Tang, Xin Zhang, Mengjia Zhou, Yan Zhong, Yao Zhou, Zifei Shan, Meishan Zhang, Baotian Hu, Min Zhang

CoRR, March, 2026

2025

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents.

Jiayi Kuang, Yinghui Li, Xin Zhang, Yangning Li, Di Yin, Xing Sun, Ying Shen, Philip S. Yu

CoRR, October, 2025

Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking.

Ziqi Dai, Xin Zhang, Mingxin Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang

CoRR, October, 2025

Dependency Scoring Learning and Corpus Boosting for Translation-Based Cross-Lingual Dependency Parsing.

Huiyao Chen, Xin Zhang, Jing Chen, Meishan Zhang, Min Zhang

ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2025

On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey.

Meishan Zhang, Xin Zhang, Xinping Zhao, Shouzheng Huang, Baotian Hu, Min Zhang

CoRR, July, 2025

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Yanzhao Zhang, Mingxin Li, Dingkun Long, Xin Zhang, Huan Lin, Baosong Yang, Pengjun Xie, An Yang, Dayiheng Liu, Junyang Lin, Fei Huang, Jingren Zhou

CoRR, June, 2025

R²ec: Towards Large Recommender Models with Reasoning.

Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie

CoRR, May, 2025

Retrieving and Reading Multimodal Documents for Knowledge-Based VQA.

Wen Xie, Xin Zhang, Meishan Zhang, Min Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2025

Mieb: Massive Image Embedding Benchmark.

Chenghao Xiao, Isaac Chung, Imene Kerboua, Jamie Stirling, Xin Zhang, Márton Kardos, Roman Solomatin, Noura Al Moubayed, Kenneth C. Enevoldsen, Niklas Muennighoff

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models.

Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Text-Image Interleaved Retrieval.

Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Jun Yu, Wenjie Li, Min Zhang

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

2024

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang

CoRR, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.

Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.

Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang

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

2023

Language Models are Universal Embedders.

Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2023

Towards General Text Embeddings with Multi-stage Contrastive Learning.

Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang

CoRR, 2023

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm.

Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang

CoRR, 2023

Zero-Shot Information Extraction via Chatting with ChatGPT.

Xiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, Yong Jiang, Wenjuan Han

CoRR, 2023

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu

CoRR, 2023

Finetuning Language Models for Multimodal Question Answering.

Xin Zhang, Wen Xie, Ziqi Dai, Jun Rao, Haokun Wen, Xuan Luo, Meishan Zhang, Min Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.

Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu

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

2022

Extending Phrase Grounding with Pronouns in Visual Dialogues.

Panzhong Lu, Xin Zhang, Meishan Zhang, Min Zhang

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

Domain-Specific NER via Retrieving Correlated Samples.

Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations.

Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Xiaobin Wang, Min Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition.

Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie

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