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2020 – today
- 2024
[c7]Akhila Yerukola, Saujas Vaduguru, Daniel Fried, Maarten Sap:
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs. ACL (Short Papers) 2024: 265-275- [i9]Abhinav Rao, Akhila Yerukola, Vishwa Shah, Katharina Reinecke, Maarten Sap:
NORMAD: A Benchmark for Measuring the Cultural Adaptability of Large Language Models. CoRR abs/2404.12464 (2024) - [i8]Akhila Yerukola, Saujas Vaduguru, Daniel Fried, Maarten Sap:
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Intent Resolution in LLMs. CoRR abs/2405.08760 (2024) - 2023
- [c6]Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap:
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements. ACL (Findings) 2023: 6294-6315 - [c5]Jimin Mun
, Emily Allaway, Akhila Yerukola, Laura Vianna, Sarah-Jane Leslie, Maarten Sap:
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language. EMNLP (Findings) 2023: 9759-9777 - [c4]Akhila Yerukola, Xuhui Zhou, Elizabeth Clark, Maarten Sap:
Don't Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting. EMNLP 2023: 11419-11444 - [i7]Akhila Yerukola, Xuhui Zhou, Maarten Sap:
Don't Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewriting. CoRR abs/2305.14755 (2023) - [i6]Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap:
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements. CoRR abs/2306.01985 (2023) - [i5]Jimin Mun, Emily Allaway, Akhila Yerukola, Laura Vianna, Sarah-Jane Leslie, Maarten Sap:
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language. CoRR abs/2311.00161 (2023) - 2022
- [c3]Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin:
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. EMNLP (Findings) 2022: 3367-3378 - [i4]Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin:
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. CoRR abs/2210.10227 (2022) - 2021
- [c2]Akhila Yerukola, Mason Bretan, Hongxia Jin:
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. EACL 2021: 1852-1860 - [i3]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i2]Akhila Yerukola, Mason Bretan, Hongxia Jin:
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. CoRR abs/2104.08268 (2021)
2010 – 2019
- 2019
- [c1]Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? CoNLL 2019: 843-861 - [i1]Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? CoRR abs/1909.10705 (2019)
Coauthor Index
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last updated on 2024-10-13 17:59 CEST by the dblp team
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