Abhilasha Ravichander

According to our database, Abhilasha Ravichander authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RESTOR: Knowledge Recovery through Machine Unlearning.

Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander

CoRR, 2024

Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?

Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan L. Boyd-Graber, Rachel Rudinger

CoRR, 2024

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries.

Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi

CoRR, 2024

The Art of Saying No: Contextual Noncompliance in Language Models.

Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

CoRR, 2024

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi

CoRR, 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

Incorporating Taxonomic Reasoning and Regulatory Knowledge into Automated Privacy Question Answering.

Abhilasha Ravichander, Ian Yang, Rex Chen, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants.

Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao, Shikun Zhang, Rex Chen, Shomir Wilson, Norman Sadeh

Proceedings of the 33rd USENIX Security Symposium, 2024

MacGyver: Are Large Language Models Creative Problem Solvers?

Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The Generative AI Paradox: "What It Can Create, It May Not Understand".

Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.

Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

What's In My Big Data?

Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Agent Lumos: Unified and Modular Training for Open-Source Language Agents.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?

Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

CoRR, 2023

What's In My Big Data?

Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge

CoRR, 2023

When and Why Does Bias Mitigation Work?

Abhilasha Ravichander, Joe Stacey, Marek Rei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision.

Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao, Shikun Zhang, Norman Sadeh

CoRR, 2022

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg

CoRR, 2022

A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus.

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

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation.

Abhilasha Ravichander, Matt Gardner, Ana Marasovic

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Erratum: Measuring and Improving Consistency in Pretrained Language Models.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

Measuring and Improving Consistency in Pretrained Language Models.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

CURIE: An Iterative Querying Approach for Reasoning About Situations.

Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy

CoRR, 2021

NoiseQA: Challenge Set Evaluation for User-Centric Question Answering.

Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard H. Hovy, Alan W. Black

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?

Abhilasha Ravichander, Alan W. Black, Thomas B. Norton, Shomir Wilson, Norman M. Sadeh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

EIGEN: Event Influence GENeration using Pre-trained Language Models.

Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye

CoRR, 2020

On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT.

Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung

Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm.

Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard H. Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer, Anita de Waard

Proceedings of the First Workshop on Scholarly Document Processing, 2020

2019

MAPS: Scaling Privacy Compliance Analysis to a Million Apps.

Sebastian Zimmeck, Peter Story, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel R. Reidenberg, N. Cameron Russell, Norman M. Sadeh

Proc. Priv. Enhancing Technol., 2019

Question Answering for Privacy Policies: Combining Computational and Legal Perspectives.

Abhilasha Ravichander, Alan W. Black, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference.

Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Exploring Numeracy in Word Embeddings.

Aakanksha Naik, Abhilasha Ravichander, Carolyn P. Rosé, Eduard H. Hovy

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

An Empirical Study of Self-Disclosure in Spoken Dialogue Systems.

Abhilasha Ravichander, Alan W. Black

Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Stress Test Evaluation for Natural Language Inference.

Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models.

Abhilasha Ravichander, Shruti Rijhwani, Rajat Kulshreshtha, Chirag Nagpal, Tadas Baltrusaitis, Louis-Philippe Morency

CoRR, 2017

How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing.

Abhilasha Ravichander, Thomas Manzini, Matthias Grabmair, Graham Neubig, Jonathan Francis, Eric Nyberg

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations.

Paul Michel, Abhilasha Ravichander, Shruti Rijhwani

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2015

Investigating the "Wisdom of Crowds" at Scale.

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

Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

VISAGE: A Support Vector Machine Approach to Group Dynamic Analysis.

Abhilasha Ravichander, Supriya Vijay, Varshini Ramaseshan, S. Natarajan

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015