Juanzi Li
Professor
Works on knowledge graphs, large pre-trained language models, knowledge-based question answering, and explainable reasoning programs such as KoPL.
Juanzi Li's lab at Tsinghua works on knowledge, QA & retrieval, large language models and graph mining & networks. 49 papers since 2023, 25 at top venues, mostly ACL and Findings of EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 51%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 26 papers2024 · T1 13
- 23 papers2023 · T1 12
T1 venuesOtherVenues: ACL, Findings of EMNLP, LREC, CIKM, EMNLP
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval27 papers
- Large language models18 papers
- question6 papers
- Graph mining & networks4 papers
- programs1 paper
Paper list
From the lab homepage.
202426 papers
- LRECA Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
- TKDE (T1)A Survey of Knowledge Enhanced Pre-Trained Language Models
- EMNLP (T1)ADELIE: Aligning Large Language Models on Information Extraction
- CIKM (T1)DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering
- Findings of EMNLPDocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
- KSEMEntity Set Expansion Based on Category Prompts in MOOCs
- LRECEvaluating Generative Language Models in Information Extraction as Subjective Question Correction
- WWW (T1)Event GDR: Event-Centric Generative Document Retrieval
- Expert Systems with ApplicationsExploring Sequence-to-sequence Taxonomy Expansion via Language Model Probing
- TASLP (T1)Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning
- Findings of ACLHow Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
- EMNLP (T1)KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
202323 papers
- ICML (T1)Answering complex logical queries on knowledge graphs via query computation tree optimization
- NeurIPS (T1)Benchmarking Foundation Models with Language-Model-as-an-Examiner
- ACL (T1)Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
- EMNLP FindingsExploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
- ACL (T1)FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering
- KDD (T1)GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation
- CIKM (T1)GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
- ESWAHKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph
- ACL FindingsKoRC: Knowledge oriented Reading Comprehension Benchmark for Deep Text Understanding
- ACL FindingsLearn to Not Link: Exploring NIL Prediction in Entity Linking
- CIKM (T1)LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts
- SIGIR (T1)MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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