Aixin Sun

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 209

Top Venues

CoRR

SIGIR

CIKM

IEEE Trans. Knowl. Data Eng.

Publications

Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu
Parameter-Efficient Conversational Recommender System as a Language Processing Task. EACL (1) (2024)
Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu
Parameter-Efficient Conversational Recommender System as a Language Processing Task. CoRR (2024)
Qishuai Zhong, Yike Yun, Aixin Sun
Cultural Value Differences of LLMs: Prompt, Language, and Model Size. CoRR (2024)
Aixin Sun
Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems. CoRR (2024)
Zhe Chen, Aixin Sun
DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang, Zhongyuan Wang
Not all Layers of LLMs are Necessary during Inference. CoRR (2024)
Zihao Li, Aixin Sun, Chenliang Li
DiffuRec: A Diffusion Model for Sequential Recommendation. ACM Trans. Inf. Syst. 42 (3) (2024)
Renjie Liang, Li Li, Chongzhi Zhang, Jing Wang, Xizhou Zhu, Aixin Sun
TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries. CoRR (2024)
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) (2024)
Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization. CoRR (2024)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM (2024)
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang
52B to 1T: Lessons Learned via Tele-FLM Series. CoRR (2024)
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, Aixin Sun
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations. CoRR (2024)
Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty
On Context Utilization in Summarization with Large Language Models. ACL (1) (2024)
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang
Tele-FLM Technical Report. CoRR (2024)
Tom Bourgeade, Zongmin Li, Farah Benamara, Véronique Moriceau, Jian Su, Aixin Sun
Humans Need Context, What about Machines? Investigating Conversational Context in Abusive Language Detection. LREC/COLING (2024)
Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR (2024)
Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang
Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations. CoRR (2024)
Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu
A Synthetic Data Generation Framework for Grounded Dialogues. ACL (1) (2023)
Yubo Ma, Yixin Cao, Yong Hong, Aixin Sun
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP (Findings) (2023)
Yitong Ji, Aixin Sun, Jie Zhang
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR (2023)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1 (2) (2023)
Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. ACL (Findings) (2023)
Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. CoRR (2023)
Jie Zou, Aixin Sun, Cheng Long, Mohammad Aliannejadi, Evangelos Kanoulas
Asking Clarifying Questions: To benefit or to disturb users in Web search? Inf. Process. Manag. 60 (2) (2023)
Shan Jie Yong, Kuicai Dong, Aixin Sun
DOCoR: Document-level OpenIE with Coreference Resolution. WSDM (2023)
Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang
A Preference Learning Decoupling Framework for User Cold-Start Recommendation. SIGIR (2023)
Zihao Li, Aixin Sun, Chenliang Li
DiffuRec: A Diffusion Model for Sequential Recommendation. CoRR (2023)
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang
FLM-101B: An Open LLM and How to Train It with $100K Budget. CoRR (2023)
Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou
Temporal Sentence Grounding in Videos: A Survey and Future Directions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR (2023)
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. 41 (3) (2023)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
Open Information Extraction via Chunks. CoRR (2023)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
Open Information Extraction via Chunks. EMNLP (2023)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR (2023)
Fangkai Jiao, Zhiyang Teng, Shafiq R. Joty, Bosheng Ding, Aixin Sun, Zhengyuan Liu, Nancy F. Chen
LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models. CoRR (2023)
Wang Jing, Aixin Sun, Hao Zhang, Xiaoli Li
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. ACL (1) (2023)
Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? CoRR (2023)
Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun
Few-shot Event Detection: An Empirical Study and a Unified View. ACL (1) (2023)
Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. ACL (Findings) (2023)
Mathieu Ravaut, Shafiq Joty, Aixin Sun, Nancy F. Chen
On Position Bias in Summarization with Large Language Models. CoRR (2023)
Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
The 1st Workshop on Recommendation with Generative Models. CIKM (2023)
Yubo Ma, Yixin Cao, YongChing Hong, Aixin Sun
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! CoRR (2023)
Mengying Yu, Aixin Sun
Dataset versus reality: Understanding model performance from the perspective of information need. J. Assoc. Inf. Sci. Technol. 74 (11) (2023)
Yin Wu, Aixin Sun
Negation Scope Refinement via Boundary Shift Loss. ACL (Findings) (2023)
Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun
Few-shot Event Detection: An Empirical Study and a Unified View. CoRR (2023)
Ting Lin, Aixin Sun, Yequan Wang
EDU-Capsule: aspect-based sentiment analysis at clause level. Knowl. Inf. Syst. 65 (2) (2023)
Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng
GCRE-GPT: A Generative Model for Comparative Relation Extraction. CoRR (2023)
Aixin Sun
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. SIGIR (2023)
Aixin Sun
On Challenges of Evaluating Recommender Systems in an Offline Setting. RecSys (2023)
Jing Li, Aixin Sun, Jianglei Han, Chenliang Li
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. ICDE (2023)
Jing Wang, Aixin Sun, Hao Zhang, Xiaoli Li
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. CoRR (2023)
Xiang Li, Xin Jiang, Xuying Meng, Aixin Sun, Yequan Wang
FreeLM: Fine-Tuning-Free Language Model. CoRR (2023)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection. CoRR (2023)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
From Speculation Detection to Trustworthy Relational Tuples in Information Extraction. EMNLP (Findings) (2023)
Guoxiu He, Aixin Sun, Wei Lu
Research Explosion: More Effort to Climb onto Shoulders of the Giant. CoRR (2023)
Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. CoRR (2023)
Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You
A Study on Transformer Configuration and Training Objective. ICML (2023)
Mengying Yu, Aixin Sun
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need. CoRR (2022)
Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou
The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. CoRR (2022)
Yequan Wang, Jiawen Deng, Aixin Sun, Xuying Meng
Perplexity from PLM Is Unreliable for Evaluating Text Quality. CoRR (2022)
Jianxin Li, Aixin Sun, Ziyu Guan, Muhammad Aamir Cheema, Geyong Min
Real-time dynamic network learning for location inference modelling and computing. Neurocomputing 472 (2022)
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
A Survey on Neural Open Information Extraction: Current Status and Future Directions. IJCAI (2022)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
Syntactic Multi-view Learning for Open Information Extraction. EMNLP (2022)
Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun
An Attribute-Driven Mirror Graph Network for Session-based Recommendation. SIGIR (2022)
Grace E. Lee, Aixin Sun
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance. CoRR (2022)
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. CoRR (2022)
Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR (2022)
Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng
CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts. EMNLP (Findings) (2022)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. CoRR (2022)
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
A Survey on Neural Open Information Extraction: Current Status and Future Directions. CoRR (2022)
Aixin Sun
From Counter-intuitive Observations to a Fresh Look at Recommender System. CoRR (2022)
Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. ACL (demo) (2022)
Yequan Wang, Xuying Meng, Yiyi Liu, Aixin Sun, Yao Wang, Yinhe Zheng, Minlie Huang
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis. CoRR (2022)
Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. NAACL-HLT (Findings) (2022)
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
Recommender May Not Favor Loyal Users. CoRR (2022)
Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR (2022)
Ting Lin, Aixin Sun, Yequan Wang
Aspect-based Sentiment Analysis through EDU-level Attentions. CoRR (2022)
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. SIGIR (2022)
Jing Li, Aixin Sun, Jianglei Han, Chenliang Li
A Survey on Deep Learning for Named Entity Recognition. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Ting Lin, Aixin Sun, Yequan Wang
Aspect-Based Sentiment Analysis Through EDU-Level Attentions. PAKDD (1) (2022)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
Syntactic Multi-view Learning for Open Information Extraction. CoRR (2022)
Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng
An Embarrassingly Simple Model for Dialogue Relation Extraction. ICASSP (2022)
Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. COLING (2022)
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR (2022)
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Video Corpus Moment Retrieval with Contrastive Learning. CoRR (2021)
Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li
DocOIE: A Document-level Context-Aware Dataset for OpenIE. ACL/IJCNLP (Findings) (2021)
Feiheng Luo, Aixin Sun, Aravind Sesagiri Raamkumar, Mojisola Erdt, Yin-Leng Theng
Will Your Paper Get Promoted by a Citation? A Case Study of Citation Promoter in Computer Science Discipline. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Zhe Chen, Aixin Sun, Xiaokui Xiao
Incremental Community Detection on Large Complex Attributed Network. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Jing Li, Aixin Sun, Yukun Ma
Neural Named Entity Boundary Detection. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Grace E. Lee, Aixin Sun
Understanding the stability of medical concept embeddings. J. Assoc. Inf. Sci. Technol. 72 (3) (2021)
Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou
Towards Debiasing Temporal Sentence Grounding in Video. CoRR (2021)
Grace E. Lee, Aixin Sun
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews. CoRR (2021)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR (2021)
Chen Zhe, Aixin Sun
DP-GCN: Node Classification Based on Both Connectivity and Topology Structure Convolutions for Risky Seller Detection. CoRR (2021)
Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Parallel Attention Network with Sequence Matching for Video Grounding. ACL/IJCNLP (Findings) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aixin Sun