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ORCIDNavita Goyal
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2020 – today
- 2024
[c8]Navita Goyal
, Connor Baumler, Tin Nguyen, Hal Daumé III:
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. IUI 2024: 155-180- [c7]Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber:
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT 2024: 1459-1474 - [i8]Navita Goyal, Ivan Stelmakh, Nihar B. Shah, Hal Daumé III:
Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing. CoRR abs/2411.11437 (2024) - 2023
- [c6]Navita Goyal, Ani Nenkova, Hal Daumé III:
Factual or Contextual? Disentangling Error Types in Entity Description Generation. ACL (1) 2023: 8322-8340 - [c5]Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III:
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. EMNLP 2023: 3313-3330 - [c4]Eleftheria Briakou, Navita Goyal, Marine Carpuat:
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. EMNLP 2023: 11220-11237 - [i7]Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III:
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems. CoRR abs/2305.14331 (2023) - [i6]Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III:
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. CoRR abs/2310.08617 (2023) - [i5]Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber:
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR abs/2310.12558 (2023) - [i4]Eleftheria Briakou, Navita Goyal, Marine Carpuat:
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. CoRR abs/2312.01582 (2023) - 2022
- [c3]Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya:
CaM-Gen: Causally Aware Metric-Guided Text Generation. ACL (Findings) 2022: 2047-2060 - [c2]Himanshu Maheshwari, Nethraa Sivakumar, Shelly Jain, Tanvi Karandikar, Vinay Aggarwal, Navita Goyal, Sumit Shekhar:
DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents. NAACL-HLT 2022: 5133-5143 - [i3]Atanu R. Sinha, Navita Goyal, Sunny Dhamnani, Tanay Asija, Raja K. Dubey, M. V. Kaarthik Raja, Georgios Theocharous:
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases. CoRR abs/2206.15129 (2022) - 2021
- [c1]Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti:
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus. NAACL-HLT 2021: 3500-3510 - 2020
- [i2]Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti:
Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators. CoRR abs/2010.11578 (2020) - [i1]Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya:
CaM-Gen: Causally-aware Metric-guided Text Generation. CoRR abs/2010.12795 (2020)
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