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2020 – today
- 2023
[e1]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents]- [i14]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR abs/2305.15065 (2023) - 2022
- [c16]Abhilasha Ravichander, Matt Gardner, Ana Marasovic:
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. EMNLP 2022: 8729-8755 - [c15]Siddhant Arora, Henry Hosseini, Christine Utz, Vinayshekhar Bannihatti Kumar, Tristan Dhellemmes, Abhilasha Ravichander, Peter Story, Jasmine Mangat, Rex Chen, Martin Degeling, Thomas B. Norton, Thomas Hupperich, Shomir Wilson, Norman M. Sadeh:
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus. LREC 2022: 5460-5472 - [i13]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg:
Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR abs/2207.14251 (2022) - [i12]Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao, Shikun Zhang, Norman Sadeh:
Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision. CoRR abs/2208.09959 (2022) - [i11]Abhilasha Ravichander, Matt Gardner, Ana Marasovic:
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. CoRR abs/2211.00295 (2022) - 2021
- [j3]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy
, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. Trans. Assoc. Comput. Linguistics 9: 1012-1031 (2021) - [j2]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Erratum: Measuring and Improving Consistency in Pretrained Language Models. Trans. Assoc. Comput. Linguistics 9: 1407 (2021) - [c14]Abhilasha Ravichander, Alan W. Black, Thomas B. Norton, Shomir Wilson, Norman M. Sadeh:
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy? ACL/IJCNLP (1) 2021: 4125-4140 - [c13]Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard H. Hovy, Alan W. Black:
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering. EACL 2021: 2976-2992 - [c12]Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy:
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? EACL 2021: 3363-3377 - [i10]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. CoRR abs/2102.01017 (2021) - [i9]Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard H. Hovy, Alan W. Black:
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering. CoRR abs/2102.08345 (2021) - [i8]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - 2020
- [c11]Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard H. Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer, Anita de Waard:
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm. SDP@EMNLP 2020: 214-224 - [c10]Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT. *SEM@COLING 2020: 88-102 - [i7]Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy:
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? CoRR abs/2005.00719 (2020) - [i6]Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye:
EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR abs/2010.11764 (2020)
2010 – 2019
- 2019
- [j1]Sebastian Zimmeck, Peter Story, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel R. Reidenberg, N. Cameron Russell, Norman M. Sadeh:
MAPS: Scaling Privacy Compliance Analysis to a Million Apps. Proc. Priv. Enhancing Technol. 2019(3): 66-86 (2019) - [c9]Aakanksha Naik, Abhilasha Ravichander, Carolyn P. Rosé, Eduard H. Hovy:
Exploring Numeracy in Word Embeddings. ACL (1) 2019: 3374-3380 - [c8]Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy:
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. CoNLL 2019: 349-361 - [c7]Abhilasha Ravichander, Alan W. Black, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh:
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives. EMNLP/IJCNLP (1) 2019: 4946-4957 - [i5]Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy:
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. CoRR abs/1901.03735 (2019) - [i4]Abhilasha Ravichander, Alan W. Black, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh:
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives. CoRR abs/1911.00841 (2019) - 2018
- [c6]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. COLING 2018: 2340-2353 - [c5]Abhilasha Ravichander, Alan W. Black:
An Empirical Study of Self-Disclosure in Spoken Dialogue Systems. SIGDIAL Conference 2018: 253-263 - [i3]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. CoRR abs/1806.00692 (2018) - 2017
- [c4]Paul Michel, Abhilasha Ravichander, Shruti Rijhwani:
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations. Rep4NLP@ACL 2017: 235-240 - [c3]Abhilasha Ravichander, Thomas Manzini, Matthias Grabmair, Graham Neubig, Jonathan Francis, Eric Nyberg:
How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. SIGDIAL Conference 2017: 374-383 - [i2]Paul Michel, Abhilasha Ravichander, Shruti Rijhwani:
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations. CoRR abs/1705.10900 (2017) - [i1]Abhilasha Ravichander, Shruti Rijhwani, Rajat Kulshreshtha, Chirag Nagpal, Tadas Baltrusaitis, Louis-Philippe Morency:
Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models. CoRR abs/1706.07867 (2017) - 2015
- [c2]Abhilasha Ravichander, Supriya Vijay, Varshini Ramaseshan, S. Natarajan:
VISAGE: A Support Vector Machine Approach to Group Dynamic Analysis. ICMLA 2015: 640-643 - [c1]Alok Shankar Mysore, Vikas S. Yaligar, Imanol Arrieta Ibarra, Camelia Simoiu, Sharad Goel, Ramesh Arvind, Chiraag Sumanth, Arvind Srikantan, Bhargav HS, Mayank Pahadia, Tushar Dobha, Atif Ahmed, Mani Shankar, Himani Agarwal, Rajat Agarwal, Sai Anirudh-Kondaveeti, Shashank Arun-Gokhale, Aayush Attri, Arpita Chandra, Yogitha Chilukur, Sharath Dharmaji, Deepak Garg, Naman Gupta, Paras Gupta, Glincy Mary Jacob, Siddharth Jain, Shashank Joshi, Tarun Khajuria, Sameeksha Khillan, Sandeep Konam, Praveen Kumar-Kolla, Sahil Loomba, Rachit Madan, Akshansh Maharaja, Vidit Mathur, Bharat Munshi, Mohammed Nawazish, Venkata Neehar-Kurukunda, Venkat Nirmal-Gavarraju, Sonali Parashar, Harsh Parikh, Avinash Paritala, Amit Patil, Rahul Phatak, Mandar Pradhan, Abhilasha Ravichander, Krishna Sangeeth, Sreecharan Sankaranarayanan, Vibhor Sehgal, Ashrith Sheshan, Suprajha Shibiraj, Aditya Singh, Anjali Singh, Prashant Sinha, Pushkin Soni, Bipin Thomas, Kasyap Varma-Dattada, Sukanya Venkataraman, Pulkit Verma, Ishan Yelurwar:
Investigating the "Wisdom of Crowds" at Scale. UIST (Adjunct Volume) 2015: 75-76
Coauthor Index
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last updated on 2023-09-08 13:08 CEST by the dblp team
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