Leila Khalatbari

According to our database, Leila Khalatbari authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A taxonomy and review of generalization research in NLP.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

Nat. Mac. Intell., October, 2023

Learn What NOT to Learn: Towards Generative Safety in Chatbots.

Leila Khalatbari, Yejin Bang, Dan Su, Willy Chung, Saeed Ghadimi, Hossein Sameti, Pascale Fung

CoRR, 2023

2022

State-of-the-art generalisation research in NLP: a taxonomy and review.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

CoRR, 2022

AiSocrates: Towards Answering Ethical Quandary Questions.

Yejin Bang, Nayeon Lee, Tiezheng Yu, Leila Khalatbari, Yan Xu, Dan Su, Elham J. Barezi, Andrea Madotto, Hayden Kee, Pascale Fung

CoRR, 2022

2019

MCP: A multi-component learning machine to predict protein secondary structure.

Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung

Comput. Biol. Medicine, 2019

2018

MCP: a multi-component learning machine for prediction of protein secondary structure.

Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung

CoRR, 2018