Aixin Sun
Associate Professor
Works on information retrieval, recommender systems, and text and web mining.
Aixin Sun's lab at NTU works on recommendation, search & web, data management & big data and knowledge, QA & retrieval. 48 papers since 2023, 21 at top venues, mostly ACL and Findings of ACL. 9 PhD students. 19 alumni, most often to Ant Group and Google DeepMind.
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 44%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom the lab homepage, 2023–2026
- 13 papers2026 · T1 7 · collecting
- 5 papers2025 · T1 2
- 12 papers2024 · T1 4
- 18 papers2023 · T1 8
T1 venuesOtherVenues: ACL, Findings of ACL, Findings of EMNLP, ICML, RecSys
Research focuspaper titles that use each topic's words
- Recommendation, search & web13 papers
- Knowledge, QA & retrieval8 papers
- recommender8 papers
- Data management & big data2 papers
- web1 paper
Paper list
From the lab homepage.
202613 papers
- RecSys (T1)A Position Paper on Recommender Systems in the Era of Autonomous Agents
- Findings of EMNLPAlignment by Stereotyping: How LLMs Sacrifice Individual Distinctiveness for Cultural Adaptation
- ACL (T1)Can LLM Safety Be Ensured by Constraining Parameter Regions?
- Findings of EMNLPEMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents
- CHI (T1)Hesitation and Tolerance in Recommender Systems
- ACL (T1)If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
- NeurIPS (T1)MARS: Enabling Autoregressive Models Multi-Token Generation
- TOISModeling Response Uncertainty and Item Relevance in Conversational Recommender Systems
- The Web Conference (WWW - Industry TrackOneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
- SIGIR - Demo Papers TrackRecNextEval: A Reference Implementation for Temporal Next-Batch Recommendation Evaluation
- ICML (T1)Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
- Findings of EMNLPSkill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents
20255 papers
- SIGIR-APA Flexible and Scalable Framework for Video Moment Search
- IJCAI (T1)Not All Layers of LLMs Are Necessary During Inference
- ICASSP (T1)Punctuation Restoration: A Case Study of BERT-Based Models' Task-Specific Excellence
- Findings of ACLTowards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
- SIGIR-APTVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries
202412 papers
- ACM SIGWEB Newsletter - Invited PaperBeyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
- ACM TOIS 42(3), Article 66 - MayDiffuRec: A Diffusion Model for Sequential Recommendation
- TKDDDP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network
- TOISKnowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
- NeurIPS - Datasets & BenchmarksMMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations
- RecSys (T1)Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
- ACL (T1)On Context Utilization in Summarization with Large Language Models
- TOISOur Model Achieves Excellent Performance on MovieLens: What Does it Mean?
- EACLParameter-Efficient Conversational Recommender System as a Language Processing Task
- RecSys (T1)Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
- EMNLP (T1)SciAgent: Tool-augmented Language Models for Scientific Reasoning
- Findings of ACLTowards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
202318 papers
- ACM TOIS 41(3):1-27A Critical Study on Data Leakage in Recommender System Offline Evaluation
- SIGIR (T1)A Preference Learning Decoupling Framework for User Cold-Start Recommendation
- ICML (T1)A Study on Transformer Configuration and Training Objective
- ACL (T1)A Synthetic Data Generation Framework for Grounded Dialogues
- Information Processing & ManagementAsking Clarifying Questions: to Benefit or to Disturb Users in Web Search?
- JASISTDataset vs Reality: Understanding Model Performance from the Perspective of Information Need
- Findings of ACLDipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting
- KAISEDU-Capsule: Aspect-based Sentiment Analysis at Clause Level
- ACL (T1)Few-shot Event Detection: An Empirical Study and a Unified View
- Findings of EMNLPFrom Speculation Detection to Trustworthy Relational Tuples in Information Extraction
- Findings of EMNLPLarge Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
- ACL (T1)MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction
Where alumni went19 listed, 62% to industry
Industry 8Academia 5
Most often to
- Ant Group
- Google DeepMind
- Head of AI CoE
Also to
- Wuhan University
- Xi'an Jiaotong-Liverpool University
- Xidian University
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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