| Self-Refine: Iterative Refinement with Self-Feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... arXiv preprint arXiv:2303.17651, 2023 | 1338 | 2023 |
| Investigating evaluation of open-domain dialogue systems with human generated multiple references P Gupta, S Mehri, T Zhao, A Pavel, M Eskenazi, JP Bigham Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue …, 2019 | 97 | 2019 |
| InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning P Gupta, C Jiao, YT Yeh, S Mehri, M Eskenazi, JP Bigham arXiv preprint arXiv:2205.12673, 2022 | 75 | 2022 |
| DialFact: A Benchmark for Fact-Checking in Dialogue P Gupta, CS Wu, W Liu, C Xiong ACL 2022, 2021 | 67 | 2021 |
| Controlling dialogue generation with semantic exemplars P Gupta, JP Bigham, Y Tsvetkov, A Pavel Proceedings of the 2021 Conference of the North American Chapter of the …, 2020 | 47 | 2020 |
| Saliency prediction for a mobile user interface P Gupta, S Pal, S Gupta, R Sinha, A Jayagopal US Patent 10,664,999, 2020 | 40 | 2020 |
| Intelligent analytics interface P Gupta, IA Burhanuddin, H Singh, AR Sinha US Patent 10,546,003, 2020 | 38 | 2020 |
| Using In-Context Learning to Improve Dialogue Safety N Meade, S Gella, D Hazarika, P Gupta, D Jin, S Reddy, Y Liu, ... arXiv preprint arXiv:2302.00871, 2023 | 34 | 2023 |
| Tracking changes in user-generated textual content on social media computing platforms K Jaidka, P Kumaraguru, N Chhaya, S Rustagi, P Gupta, R Kaushik US Patent 9,817,893, 2017 | 34 | 2017 |
| Cascading linear submodular bandits: Accounting for position bias and diversity in online learning to rank G Hiranandani, H Singh, P Gupta, IA Burhanuddin, Z Wen, B Kveton Uncertainty in Artificial Intelligence, 722-732, 2020 | 30 | 2020 |
| Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation P Gupta, Y Tsvetkov, J Bigham ACL 2021, 3867–3883, 2021 | 27 | 2021 |
| Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation P Gupta, H Jhamtani, JP Bigham arXiv preprint arXiv:2205.09314, 2022 | 23 | 2022 |
| WriterForcing: Generating more interesting story endings P Gupta, VB Kumar, M Bhutani, AW Black Proceedings of the Second Workshop on Storytelling, 117–126, 2019 | 21 | 2019 |
| Saliency prediction for mobile user interfaces P Gupta, S Gupta, A Jayagopal, S Pal, R Sinha 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1529-1538, 2018 | 20 | 2018 |
| Computerized detection and semantic characterization of trends in digital media content P Gupta, NVSSK Chaitanya, D Basu, A Ojha US Patent 10,515,379, 2019 | 14 | 2019 |
| Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation J Huynh, C Jiao, P Gupta, S Mehri, P Bajaj, V Chaudhary, M Eskenazi arXiv preprint arXiv:2301.12004, 2023 | 12 | 2023 |
| Method and apparatus for generating ordered user expert lists for a shared digital document SK Biswas, P Gupta, V Khandelwal, S Chahar US Patent 9,619,481, 2017 | 12 | 2017 |
| USB: A Unified Summarization Benchmark Across Tasks and Domains K Krishna, P Gupta, S Ramprasad, BC Wallace, JP Bigham, ZC Lipton arXiv preprint arXiv:2305.14296, 2023 | 8 | 2023 |
| SocialStories: Segmenting stories within trending twitter topics K Jaidka, K Ramachandran, P Gupta, S Rustagi Proceedings of the 3rd IKDD Conference on Data Science, 2016, 1-7, 2016 | 7 | 2016 |
| GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence K Krishna, S Ramprasad, P Gupta, BC Wallace, ZC Lipton, JP Bigham arXiv preprint arXiv:2402.12566, 2024 | 6 | 2024 |
Jeffrey P. BighamCarnegie Mellon University & AppleVerified email at cs.cmu.edu
