Meghana Moorthy Bhat

According to our database, Meghana Moorthy Bhat authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

Investigating Answerability of LLMs for Long-Form Question Answering.

Meghana Moorthy Bhat, Rui Meng, Ye Liu, Yingbo Zhou, Semih Yavuz

CoRR, 2023

XGen-7B Technical Report.

Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong

CoRR, 2023

Exploring the Integration Strategies of Retriever and Large Language Models.

Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou

CoRR, 2023

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence.

John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai

CoRR, 2023

Few-shot Unified Question Answering: Tuning Models or Prompts?

Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.

Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou

CoRR, 2022

2021

Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU.

Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee

CoRR, 2021

Self-training with Few-shot Rationalization.

Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications.

Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, Weisheng Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study.

Meghana Moorthy Bhat, Srinivasan Parthasarathy

Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019

Fake News Detection via NLP is Vulnerable to Adversarial Attacks.

Zhixuan Zhou, Huankang Guan, Meghana Moorthy Bhat, Justin Hsu

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019