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📢📢 News: Our new version of YAGO knowledge base is available, which is accepted by SIGIR 2024!
My name is Lihu Chen (陈立虎), currently a Research Associate at Imperial College London.
Before that, I did my postdoc at Inria Saclay. I obtained my PhD at DIG team of Télécom Paris, which is a member of Institut Polytechnique de Paris.
I was co-supervised by Fabian Suchanek and Gaël Varoquaux.
My research topics include
- Efficient Language Models. Check out our small models for biomedical entity disambiguation (AAAI 21), out-of-vocabulary words (ACL 22) and short text representations (EACL 24)
- Information Extraction. I am interested in Entity Linking (AAAI 21, EACL 23), Knowledge Base Construction (SIGIR 24) and Completion (ACL@Matching 23)
- Hallucinations in LLMs. Reconfidencing answers generated by LLMs (Preprint)
- Interpretability and Analysis of LLMs. Studying the properties of positional encodings (EMNLP 23)
Publications
- A Lightweight Neural Model for Biomedical Entity Linking
Lihu Chen, Gaël Varoquaux, and Fabian M. Suchanek
In AAAI 2021
| 💻 [code] | 📑 [slide] | - Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost
Lihu Chen, Gaël Varoquaux, and Fabian M. Suchanek
In ACL 2022 (Oral)
| 💻 code | 📑 [slide] | 📊 [poster] | - GLADIS: A General and Large Acronym Disambiguation Benchmark
Lihu Chen, Gaël Varoquaux, and Fabian M. Suchanek
In EACL 2023 (Oral)
| 💻 [code] | 🕹️ [demo] | 📑 [slide] | - Who’s Speaking? Predicting Speaker Profession from Speech
Yaru Wu, Lihu Chen, Benjamin Elie, Fabian Suchanek, Ioana Vasilescu, and Lori Lamel
In International Congress of Phonetic Sciences (ICPhS) 2023 - Knowledge Base Completion for Long-Tail Entities
Lihu Chen, Simon Razniewski and Gerhard Weikum
In ACL 2023 (MATCHING workshop)
| 💻 [code] | 💻 [code-mpi] | - Towards efficient, general and robust entity disambiguation systems
Lihu Chen
PhD thesis - The Locality and Symmetry of Positional Encodings
Lihu Chen, Gaël Varoquaux and Fabian M. Suchanek
In Findings of EMNLP 23
| 💻 [code] | 📊 [poster] | - Learning High-Quality and General-Purpose Phrase Representations
Lihu Chen, Gaël Varoquaux and Fabian M. Suchanek
In Findings of EACL 24
| 💻 [code] | 💾 [data] | 🤗 PEARL-small | 🤗 PEARL-base | 🤗 PEARL Benchmark | - Reconfidencing LLMs from the Grouping Loss Perspective
Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek, and Gaël Varoquaux
In preprint - YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
Fabian M. Suchanek, Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, Jules Soria
In SIGIR 2024
💾 [data]
Education and Experiences
- May 2024 - Present, Research Associate at Imperial College London, reporting to Francesca Toni.
- Jul 2023 - May 2024, Postdoc at Inria Saclay, reporting to Gaël Varoquaux.
- Mar 2022 - May 2022, Research Intern at Max Planck Institute for Informatics, reporting to Simon Razniewski and Gerhard Weikum.
- Nov 2019 - Jun 2023, PhD candidate in Télécom Paris and Institut Polytechnique de Paris, co-supervised by Fabian Suchanek and Gaël Varoquaux.
- Aug 2016 - Aug 2019, Engineer in Alihealth, which is a department of Alibaba Group.
- Apr 2014 - Apr 2017, M.S. in Beijing Jiaotong University.
- Sep 2009 - Aug 2013, B.S. in Northeast Petroleum University.
Teaching
I work as a teaching assistant mainly servicing the following courses:
2020
- Knowledge Base Construction, Télécom Paris
- Natural Language and Speech Processing, Ecole Polytechnique
- Databases, Télécom Paris
Service
Program Committee & Reviewer
- 2022: PVLDB Reproducibility (External Reviewer); EMNLP
- 2023: ACL; EMNLP; Machine Learning (External Reviewer)
- 2024: ARR 24; ESWC; ACL; ECAI
Talks
- Sep 2020, “A Lightweight Neural Model for Biomedical Entity Linking”, at SoDa Team and DIG Team, Paris, France
- Sep 2021, “A Simple Yet Effective Positional Module”, at JDSE, CentraleSupelec, Saclay, France
- May 2022, “Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost”, at ACL 22, Dublin, Ireland
- Feb 2023, “Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost”, at Université Paris-Saclay, Saclay, France
- May 2023, “GLADIS: A General and Large Acronym Disambiguation Benchmark”, at EACL 23, Dubrovnik, Croatia
- Dec 2023, “The Locality and Symmetry of Positional Encodings”, at Peking University, Beijing, China
Misc
- My Github
- Human Language: Chinese Mandarin (Native); English (Fluent); French (Basic)
- Travel Photos
Contact
Email:[firstname].[lastname][AT]imperial.ac.uk