"INDUS: Effective and Efficient Language Models for Scientific Applications."

Bishwaranjan Bhattacharjee et al. (2024)

> Home

Details and statistics

DOI: 10.18653/V1/2024.EMNLP-INDUSTRY.9

access: open

type: Conference or Workshop Paper

metadata version: 2025-06-13

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/emnlp/BhattacharjeeTM24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/BhattacharjeeTM24
Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) 2024: 98-112

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.