Navita Goyal

18 papers A* 2A 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions.
EACL (Volume 1: Long Papers)
Navita Goyal, Hal Daumé III
2026 J jnl
Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions.
CoRR
Navita Goyal, Hal Daumé III
2024 J jnl
Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing.
CoRR
Navita Goyal, Ivan Stelmakh, Nihar B. Shah, Hal Daumé III
2024 — conf
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.
NAACL-HLT
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2024 A conf
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.
IUI
Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III
2023 A* conf
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences.
EMNLP
Eleftheria Briakou, Navita Goyal, Marine Carpuat
2023 J jnl
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences.
CoRR
Eleftheria Briakou, Navita Goyal, Marine Carpuat
2023 — conf
Factual or Contextual? Disentangling Error Types in Entity Description Generation.
ACL (1)
Navita Goyal, Ani Nenkova, Hal Daumé III
2023 J jnl
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.
CoRR
Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2023 J jnl
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.
CoRR
Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III
2023 J jnl
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems.
CoRR
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III
2023 A* conf
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems.
EMNLP
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III
2022 — conf
CaM-Gen: Causally Aware Metric-Guided Text Generation.
ACL (Findings)
Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya
2022 — conf
DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents.
NAACL-HLT
Himanshu Maheshwari, Nethraa Sivakumar, Shelly Jain, Tanvi Karandikar, Vinay Aggarwal, Navita Goyal, Sumit Shekhar
2022 J jnl
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases.
CoRR
Atanu R. Sinha, Navita Goyal, Sunny Dhamnani, Tanay Asija, Raja K. Dubey, M. V. Kaarthik Raja, Georgios Theocharous
2021 — conf
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus.
NAACL-HLT
Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti
2020 J jnl
CaM-Gen: Causally-aware Metric-guided Text Generation.
CoRR
Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya
2020 J jnl
Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators.
CoRR
Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti