- 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
PhD thesis
Jury Composition: Chloe Clavel, Evangelos Kanoulas, Gerard de Melo, Serena Villata, Mrinmaya Sachan, Fabian Suchanek and Gaël Varoquaux
- 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 EMNLP 2024 Findings
- 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
| 💻 [code] | 💾 [data]
- Analyzing Key Neurons in Large Language Models
Lihu Chen, Adam Dejl, Francesca Toni
In Preprint 2024
| 💻 [code] |
- What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen, Gaël Varoquaux
In Preprint 2024
| 💻 [code] |