/ɑ.bʰi.ˈla.ʃə/ (listen)
Abhilasha Ravichander
I am a postdoctoral scholar at the Paul G. Allen Center for Computer Science and Engineering at the University of Washington. I completed my PhD from Carnegie Mellon University. My research focuses on building trustworthy language models, by: (1) formulating techniques to rigorously diagnose and validate models and datasets, (2) developing methods to understand large language models and the mechanisms that drive their predictions, and (3) building frameworks that enable greater access and control over LLMs. For more about my work, please see my publications. ✨ I am on the academic job market for the 2024-2025 cycle.✨
What's New
🌴 I am speaking in a panel on "Navigating Research in the Age of LLMs" at the Widening NLP workshop at EMNLP 2024. ⭐ I am at the "Rising Stars in Generative AI" workshop at UMass Amherst. 🏆 OLMo won the ACL 2024 Best Theme Paper Award 🎉 🏆 Dolma won the ACL 2024 Best Resource Paper Award 🎉 🏆 Artifacts or Abduction? won a best paper award at MASC-SLL 2024 🎉 📚 I am co-organizing the Workshop on Privacy in Natural Language Processing @ACL 2024 Older news.Publications
(*) - Equal Contribution
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 Boyd-Graber, Rachel Rudinger
arXiv
PDF Code/Data Long 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 Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi
arXiv
PDF Code/Data Long WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
arXiv
PDF Code/Data Long The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman*, Sachin Kumar*, Abhilasha Ravichander✢, Vidhisha Balachandran✢, Pradeep Dasigi✢, Valentina Pyatkin✢, Sarah Wiegreffe✢, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A Smith, Yejin Choi, Hannaneh Hajishirzi
NeurIPS 2024 Datasets and Benchmarks
PDF Code/Data Long Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
MASC-SLL 2024 best paper award
Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long OLMo: Accelerating the Science of Language Models
GeekWire Innovation of the Year award , ACL Best Theme Paper Award 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
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long Press: TechCrunch VentureBeat Forbes GeekWire Axios SD Times Fast Company Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL Best Resource Paper Award Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi 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
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long Press: TechCrunch Marktechpost Voicebot Agent Lumos: Unified and Modular Training for Open-Source Language Agents Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long Website Press: Marktechpost 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
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)
PDF Code/Data Long What’s In My Big Data? Spotlight 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 2024 International Conference on Learning Representations, (ICLR 2024). PDF Code/Data Long Website Press: Marktechpost 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 Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi 2024 International Conference on Learning Representations, (ICLR 2024).
PDF Long The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi 2024 International Conference on Learning Representations, (ICLR 2024).
PDF Code/Data Long Website 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 USENIX Security 2024. PDF Long
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, 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 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023). PDF Code/Data Long When and Why Does Bias Mitigation Work? Abhilasha Ravichander*, Joe Stacey*, Marek Rei Findings of the 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP Findings 2023). PDF Code/Data Long
CondaQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation SoCal NLP Symposium best paper award Abhilasha Ravichander, Matt Gardner, Ana Marasović 2022 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2022). PDF Code/Data Long 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 Preprint. PDF 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 Norton, Thomas Hupperich, Shomir Wilson, Norman Sadeh Thirteenth Language Resources and Evaluation Conference, (LREC 2022). PDF Code/Data Long
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy 16th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 2021). PDF Code/Data Long NoiseQA: Challenge Set Evaluation for User-Centric Question Answering Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy, Alan W Black 16th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 2021). PDF Code/Data Long Website Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard Hovy, Hinrich Schütze, Yoav Goldberg Transactions of the Association of Computational Linguistics, (TACL 2021). PDF Code/Data Long Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy? Abhilasha Ravichander, Alan W Black, Thomas Norton, Shomir Wilson and Norman Sadeh. 59th Annual Meeting of the Association for Computational Linguistics, (ACL 2021) PDF Long
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung. 2020 Joint Conference on Lexical and Computational Semantics, (*SEM 2020). PDF Code/Data Long
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference Abhilasha Ravichander*, Aakanksha Naik*, Carolyn Rose, Eduard Hovy 2019 Conference on Computational Natural Language Learning, (CoNLL 2019). PDF Code/Data Long Question Answering for Privacy Policies: Combining Computational and Legal Perspectives Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton and Norman Sadeh. 2019 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2019) PDF Code/Data Long Exploring Numeracy in Word EmbeddingsAakanksha Naik*, Abhilasha Ravichander*, Carolyn Rose, Eduard Hovy 57th Meeting of Association for Computational Linguistics, (ACL 2019). PDF Short Evaluating How Global Privacy Principles Answer Consumers’ Questions About Mobile App Privacy. Thomas Norton, Joel Reidenberg, Norman Sadeh and Abhilasha Ravichander 4th European Privacy Law Scholars Conference, (PLSC 2019). Challenges in Automated Question Answering for Privacy Policies. Abhilasha Ravichander, Alan Black, Eduard Hovy, Joel Reidenberg, N. Cameron Russell and Norman Sadeh AAAI Spring Symposium Series, 2019 PDF Long MAPS: Scaling Privacy Compliance Analysis to a Million Apps Peter Story, Sebastian Zimmeck, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N. Cameron Russell and Norman Sadeh PETS 2019 PDF Long
Stress Test Evaluation for Natural Language Inference Area Chair Favorite Paper Prize Aakanksha Naik*, Abhilasha Ravichander*, Norman Sadeh, Carolyn Rose, Graham Neubig. 27th International Conference on Computational Linguistics, (COLING 2018). PDF Code/Data Long Website An Empirical Study of Self-Disclosure in Spoken Dialogue Systems Abhilasha Ravichander, Alan Black. 19th Annual SIGdial Meeting on Discourse and Dialogue, (SIGDIAL 2018). PDFLong
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations Paul Michel*, Abhilasha Ravichander*, Shruti Rijhwani*. Workshop on Representation Learning For NLP, Association for Computational Linguistics, 2017 (ACL 2017). PDF Short How Would You Say It? Eliciting Lexically Diverse Data for Supervised Semantic Parsing Abhilasha Ravichander*, Thomas Manzini*, Matthias Grabmair, Jonathan Francis, Graham Neubig, Eric Nyberg. 18th Annual SIGdial Meeting on Discourse and Dialogue, (SIGDIAL 2017). PDF Code/Data Long
Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan Boyd-Graber, Rachel Rudinger
arXiv
PDF Code/Data Long 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 Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi
arXiv
PDF Code/Data Long WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
arXiv
PDF Code/Data Long The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman*, Sachin Kumar*, Abhilasha Ravichander✢, Vidhisha Balachandran✢, Pradeep Dasigi✢, Valentina Pyatkin✢, Sarah Wiegreffe✢, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A Smith, Yejin Choi, Hannaneh Hajishirzi
NeurIPS 2024 Datasets and Benchmarks
PDF Code/Data Long Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
MASC-SLL 2024 best paper award
Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long OLMo: Accelerating the Science of Language Models
GeekWire Innovation of the Year award , ACL Best Theme Paper Award 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
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long Press: TechCrunch VentureBeat Forbes GeekWire Axios SD Times Fast Company Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL Best Resource Paper Award Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi 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
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long Press: TechCrunch Marktechpost Voicebot Agent Lumos: Unified and Modular Training for Open-Source Language Agents Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
PDF Code/Data Long Website Press: Marktechpost 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
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)
PDF Code/Data Long What’s In My Big Data? Spotlight 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 2024 International Conference on Learning Representations, (ICLR 2024). PDF Code/Data Long Website Press: Marktechpost 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 Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi 2024 International Conference on Learning Representations, (ICLR 2024).
PDF Long The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi 2024 International Conference on Learning Representations, (ICLR 2024).
PDF Code/Data Long Website 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 USENIX Security 2024. PDF Long
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, 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 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023). PDF Code/Data Long When and Why Does Bias Mitigation Work? Abhilasha Ravichander*, Joe Stacey*, Marek Rei Findings of the 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP Findings 2023). PDF Code/Data Long
CondaQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation SoCal NLP Symposium best paper award Abhilasha Ravichander, Matt Gardner, Ana Marasović 2022 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2022). PDF Code/Data Long 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 Preprint. PDF 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 Norton, Thomas Hupperich, Shomir Wilson, Norman Sadeh Thirteenth Language Resources and Evaluation Conference, (LREC 2022). PDF Code/Data Long
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy 16th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 2021). PDF Code/Data Long NoiseQA: Challenge Set Evaluation for User-Centric Question Answering Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy, Alan W Black 16th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 2021). PDF Code/Data Long Website Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard Hovy, Hinrich Schütze, Yoav Goldberg Transactions of the Association of Computational Linguistics, (TACL 2021). PDF Code/Data Long Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy? Abhilasha Ravichander, Alan W Black, Thomas Norton, Shomir Wilson and Norman Sadeh. 59th Annual Meeting of the Association for Computational Linguistics, (ACL 2021) PDF Long
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung. 2020 Joint Conference on Lexical and Computational Semantics, (*SEM 2020). PDF Code/Data Long
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference Abhilasha Ravichander*, Aakanksha Naik*, Carolyn Rose, Eduard Hovy 2019 Conference on Computational Natural Language Learning, (CoNLL 2019). PDF Code/Data Long Question Answering for Privacy Policies: Combining Computational and Legal Perspectives Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton and Norman Sadeh. 2019 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2019) PDF Code/Data Long Exploring Numeracy in Word EmbeddingsAakanksha Naik*, Abhilasha Ravichander*, Carolyn Rose, Eduard Hovy 57th Meeting of Association for Computational Linguistics, (ACL 2019). PDF Short Evaluating How Global Privacy Principles Answer Consumers’ Questions About Mobile App Privacy. Thomas Norton, Joel Reidenberg, Norman Sadeh and Abhilasha Ravichander 4th European Privacy Law Scholars Conference, (PLSC 2019). Challenges in Automated Question Answering for Privacy Policies. Abhilasha Ravichander, Alan Black, Eduard Hovy, Joel Reidenberg, N. Cameron Russell and Norman Sadeh AAAI Spring Symposium Series, 2019 PDF Long MAPS: Scaling Privacy Compliance Analysis to a Million Apps Peter Story, Sebastian Zimmeck, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N. Cameron Russell and Norman Sadeh PETS 2019 PDF Long
Stress Test Evaluation for Natural Language Inference Area Chair Favorite Paper Prize Aakanksha Naik*, Abhilasha Ravichander*, Norman Sadeh, Carolyn Rose, Graham Neubig. 27th International Conference on Computational Linguistics, (COLING 2018). PDF Code/Data Long Website An Empirical Study of Self-Disclosure in Spoken Dialogue Systems Abhilasha Ravichander, Alan Black. 19th Annual SIGdial Meeting on Discourse and Dialogue, (SIGDIAL 2018). PDFLong
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations Paul Michel*, Abhilasha Ravichander*, Shruti Rijhwani*. Workshop on Representation Learning For NLP, Association for Computational Linguistics, 2017 (ACL 2017). PDF Short How Would You Say It? Eliciting Lexically Diverse Data for Supervised Semantic Parsing Abhilasha Ravichander*, Thomas Manzini*, Matthias Grabmair, Jonathan Francis, Graham Neubig, Eric Nyberg. 18th Annual SIGdial Meeting on Discourse and Dialogue, (SIGDIAL 2017). PDF Code/Data Long