Meghana Moorthy Bhat

Most-cited papers

1. Large language models as tax attorneys: a case study in legal capabilities emergence

   J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao +5 more

   2023Philosophical Transactions of the Royal Society A124 citations Open access

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2. Fake News Detection via NLP is Vulnerable to Adversarial Attacks

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

   2019International Conference on Agents and Artificial Intelligence124 citations Open access

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

   Meghana Moorthy Bhat, S. Parthasarathy

   2020First Workshop on Insights from Negative Results in NLP31 citations Open access

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

   Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett +1 more

   2021Conference on Empirical Methods in Natural Language Processing29 citations Open access

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5. Self-training with Few-shot Rationalization

   Meghana Moorthy Bhat, A. Sordoni, Subhabrata Mukherjee

   2021Conference on Empirical Methods in Natural Language Processing24 citations Open access

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6. XGen-7B Technical Report

   E. Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang +21 more

   2023arXiv.org17 citations Open access

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7. Investigating Answerability of LLMs for Long-Form Question Answering

   Meghana Moorthy Bhat, Rui Meng, Ye Liu, Ying-Bo Zhou +1 more

   2023arXiv.org16 citations Open access

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8. AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation

   Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal +25 more

   202315 citations

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

   Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal +5 more

   2022arXiv.org5 citations Open access

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10. AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation

    Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal +5 more

    20224 citations

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

    Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Moorthy Bhat +1 more

    2023Conference on Empirical Methods in Natural Language Processing3 citations Open access

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12. Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs

    Ye Liu, Rui Meng, Meghana Moorthy Bhat, Shafiq R. Joty +3 more

    2023KNOWLLM3 citations Open access

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13. Detecting Fake News with NLP: Challenges and Possible Directions

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

    20181 citations

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