Fake News Detection via NLP is Vulnerable to Adversarial Attacks. - Zhixuan Zhou; Huankang Guan; Meghana Moorthy Bhat; Justin Hsu (ICAART (2), 2019)

How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. - Meghana Moorthy Bhat; Srinivasan Parthasarathy 001 (Insights, 2020)

Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications. - Meghana Moorthy Bhat; Saghar Hosseini; Ahmed Hassan Awadallah; Paul N. Bennett; Weisheng Li (EMNLP (Findings), 2021)

Self-training with Few-shot Rationalization. - Meghana Moorthy Bhat; Alessandro Sordoni; Subhabrata Mukherjee (EMNLP (1), 2021)

Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. - Meghana Moorthy Bhat; Alessandro Sordoni; Subhabrata Mukherjee (CoRR, 2021)

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. - Rui Meng; Ye Liu 006; Semih Yavuz; Divyansh Agarwal; Lifu Tu; Ning Yu; Jianguo Zhang 005; Meghana Bhat; Yingbo Zhou (CoRR, 2022)

Few-shot Unified Question Answering: Tuning Models or Prompts? - Srijan Bansal; Semih Yavuz; Bo Pang 004; Meghana Bhat; Yingbo Zhou (EMNLP (Findings), 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)

Exploring the Integration Strategies of Retriever and Large Language Models. - Ye Liu 006; Semih Yavuz; Rui Meng; Meghana Moorthy; Shafiq Joty; Caiming Xiong; Yingbo Zhou (CoRR, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

Investigating Answerability of LLMs for Long-Form Question Answering. - Meghana Moorthy Bhat; Rui Meng; Ye Liu 006; Yingbo Zhou; Semih Yavuz (CoRR, 2023)