Carl Edwards

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Natural Language

Markovian Decision

Top Venues

EMNLP (Findings)

Publications

Thao Nguyen, Tiara Torres-Flores, Changhyun Hwang, Carl Edwards, Ying Diao, Heng Ji
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices. CoRR (2024)
Carl Edwards, Qingyun Wang, Lawrence Zhao, Heng Ji
L+M-24: Building a Dataset for Language + Molecules @ ACL 2024. CoRR (2024)
Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR (2024)
Henry W. Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. CoRR (2023)
Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Ren Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji
Defining a New NLP Playground. EMNLP (Findings) (2023)
Carl Edwards, Aakanksha Naik, Tushar Khot, Martin Burke, Heng Ji, Tom Hope
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design. CoRR (2023)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi R. Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji
Defining a New NLP Playground. CoRR (2023)
Carl Edwards, Heng Ji
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention. EACL (2023)
Henry Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. EMNLP (Findings) (2023)
Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji
Translation between Molecules and Natural Language. EMNLP (2022)
Carl Edwards, Heng Ji
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention. CoRR (2022)
Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Heng Ji
Translation between Molecules and Natural Language. CoRR (2022)
Kevin Ros, Carl Edwards, Heng Ji, Chengxiang Zhai
Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial Questions. CLEF (Working Notes) (2021)
Carl Edwards, ChengXiang Zhai, Heng Ji
Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries. EMNLP (1) (2021)