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2025

1. Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
   Yubo Ma, Jinsong Li, Yuhang Zang, Xiaobao Wu, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Jiaqi Wang, Yixin Cao, Aixin Sun. ACL 2025 Findings IR NLP
2. Punctuation Restoration: A Case Study of BERT-Based Models' Task-Specific Excellence
   Qishuai Zhong and Aixin Sun. IEEE ICASSP 2025. NLP

2024

1. MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
   Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, and Aixin Sun. NeurIPS2024 D&B NLP IR
2. SciAgent: Tool-augmented Language Models for Scientific Reasoning
   Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun. EMNLP 2024. Accepted NLP
3. Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
   Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun and Min Zhang. RecSys 2024 Accepted RecSys
4. Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
   Lulu Dong, Guoxiu He and Aixin Sun. RecSys 2024 Accepted. RecSys
5. Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
   Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas. TOIS 2024. RecSys
6. Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
   Aixin Sun. An invited paper by ACM SIGWEB Newsletter RecSys
7. Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
   Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun. Accepted in TOIS 2024.RecSys
8. On Context Utilization in Summarization with Large Language Models
   Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty. ACL 2024. NLP IR
9. Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.
   Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun. ACL 2024 Findings. NLP
10. Parameter-Efficient Conversational Recommender System as a Language Processing Task
    Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu. EACL 2024. NLP RecSys
11. DiffuRec: A Diffusion Model for Sequential Recommendation
    Zhihao Li, Aixin Sun, Chenliang Li. ACM TOIS: 42(3), Article 66. May 2024. RecSys
12. DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network
    Zhe Chen, Aixin Sun. ACM TKDD. Accepted 2004. DM IR

2023

1. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
   Yubo Ma, Yixin Cao, Yong Ching Hong, Aixin Sun. EMNLP 2023 Findings. NLP IR
2. Open Information Extraction via Chunks
   Kuicai Dong, Aixin Sun, Jung-jae Kim, Xiaoli Li. EMNLP 2023. NLP
3. From Speculation Detection to Trustworthy Relational Tuples in Information Extraction.
   Kuicai Dong, Aixin Sun, Jung-jae Kim, Xiaoli Li. EMNLP 2023 Findings. NLP
4. Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need
   Mengying Yu, Aixin Sun. Journal of the Association for Information Science and Technology (JASIST). Accepted. IR
5. MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction.
   Wang Jing, Aixin Sun, Hao Zhang and Xiaoli Li. Accepted in ACL 2023. NLP
6. Few-shot Event Detection: An Empirical Study and a Unified View.
   Yubo Ma, Zehao Wang, Yixin Cao and Aixin Sun. Accepted in ACL 2023. NLP
7. A Synthetic Data Generation Framework for Grounded Dialogues.
   Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi and Ruifeng Xu. Accepted in ACL 2023. NLP
8. Negation Scope Refinement via Boundary Shift Loss.
   Yin Wu and Aixin Sun. Accepted in ACL 2023 Findings. NLP
9. Take a Break in the Middle: Investigating Subgoals towards Hierarhical Script Generation.
   Xinze Li, Yixin Cao, Muhao Chen and Aixin Sun. Accepted in ACL 2023 Findings. NLP
10. Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting.
    Chen Chen, Yufei Wang, Aixin Sun, Bing Li and Kwok-Yan Lam. Accepted in ACL 2023 Findings. NLP
11. A Study on Transformer Configuration and Training Objective.
    Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You. Accepted in ICML 2023. NLP
12. Take a Fresh Look at Recommender Systems from an Evaluation Standpoint.
    Aixin Sun. Accepted in SIGIR 2023. RecSys
13. A Preference Learning Decoupling Framework for User Cold-Start Recommendation.
    Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang and Ke Wang. Accepted in SIGIR 2023. RecSys
14. SelfCF: A Simple Framework for Self-supervised Collaborative Filtering.
    Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao. Accepted in ACM TORS 2023. RecSys
15. A Critical Study on Data Leakage in Recommender System Offline Evaluation.
    Yitong Ji, Aixin Sun, Jie Zhang, and Chenliang Li. ACM TOIS 41(3):1-27 2023.RecSys
16. Temporal Sentence Grounding in Videos: A Survey and Future Directions.
    Hao Zhang, Aixin Sun, Wei Jing, and Joey Tianyi Zhou. Accepted in IEEE PAMI 2023 IR NLP CV
17. EDU-Capsule: Aspect-based Sentiment Analysis at Clause Level.
    Ting Lin*, Aixin Sun, and Yequan Wang. Knowledge and Information Systems (KAIS), 65(2): 517-541 (2023) NLP
18. Asking Clarifying Questions: to Benefit or to Disturb Users in Web Search?
    Jie Zou, Aixin Sun, Cheng Long∧, Mohammad Aliannejadi, Evangelos Kanoulas. Information Processing & Management (IP&M), 60 (2): 103176. 2023 IR
19. DOCoR: Document-level OpenIE with Coreference Resolution.
    Shan Jie Yong, Kuicai Dong, Aixin Sun. WSDM 2023: 1204-1207 (Demo paper) NLP

2022 and before