For the full list of papers after 2023, check my Google Scholar page.
- 2023
- Self-Instruct: Aligning Language Model with Self-Generated Instructions
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, Hannaneh Hajishirzi
ACL, 2023
[paper]
- When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzii
ACL, 2023
[paper]
- Task-Aware Retrieval with Instructions
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
ACL (Findings), 2023
[paper]
- PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
ACL, 2023
[paper]
- CREPE: Open-Domain Question Answering with False Presuppositions
Xinyan Velocity Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi
ACL, 2023
[paper]
- Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations
Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi
ACL, 2023
[paper]
- Nonparametric Masked Language Modeling
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
ACL (Findings), 2023
[paper]
- HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation
Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew Peters
ACL, 2023
[paper]
- Elaboration-Generating Commonsense Question Answering at Scale
Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith.
ACL, 2023
[paper]
- Data-Efficient Finetuning Using Cross-Task Nearest Neighbors
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, and Pradeep Dasigi
ACL (Findings), 2023
[paper]
- FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi
ACL, 2023
[paper]
- Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy*, Prithviraj Ammanabrolu*, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
ICLR, 2023
[paper]
- Editing Models with Task Arithmetic
Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
ICLR, 2023
[paper]
- INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
TACL, 2023
[paper]
- 2022
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Yizhong Wang, Swaroop Mishra, ..., Hannaneh Hajishirzi, Daniel Khashabi
EMNLP, 2022
[paper][Project Page]
- Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
EMNLP, 2022
[paper]
- ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai, Mohammadreza Salehi, Mathew Peters, Hannaneh Hajishirzi
EMNLP, 2022
[paper]
- Rethinking the Role of Demonstrations: What makes In-context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
EMNLP, 2022
[paper]
- CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning
Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Hannaneh Hajishirzi, Mari Ostendorf, Gaurav Singh Tomar
EMNLP, 2022
[paper]
- SciFact-Open: Towards open-domain scientific claim verification
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
EMNLP Findings, 2022
[paper]
- Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Hannaneh Hajishirzi, Ludwig Schmidt
EMNLP Findings, 2022
[paper]
- NaturalProver: Grounded Mathematical Proof Generation with Language Models
Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
NeurIPS, 2022
[paper]
- Patching open-vocabulary models by interpolating weights
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
NeurIPS, 2022
[paper]
- MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
NAACL, 2022
[paper]
- Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
NAACL, 2022
[paper]
- Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Akari Asai, Matt Gardner, and Hannaneh Hajishirzi
NAACL, 2022
[paper]
- Aligning to Social Norms and Values in Interactive Narratives
Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajizhirzi, and Yejin Choi
NAACL, 2022
[paper]
- MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
NAACL Findings, 2022
[paper]
- Robust fine-tuning of zero-shot models
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
CVPR, 2022
[paper]
- Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
ACL, 2022
[paper]
- Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
ACL, 2022
[paper]
- FaVIQ: FAct Verification from Information-seeking Questions
Jungsoo Park, Sewon Min, Jaewoo Jang, Luke Zettlemoyer, Hannaneh Hajishirzi
ACL, 2022
[paper]
- Generated Knowledge Prompting for Commonsense Reasoning
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
ACL, 2022
[paper]
- Reframing Instructional Prompts to GPTk's Language
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
ACL, 2022
[paper]
- 2021
- One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
Akari Asai, Xinyan Yu, Jungo Kasai, and Hannaneh Hajishirzi
NeurIPS, 2021
[paper]
-
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
Zeqiu Wu*, Bo-Ru Lu*, Hannaneh Hajishirzi, Mari Ostendorf
EMNLP, 2021
[paper]
-
Joint Passage Ranking for Diverse Multi-Answer Retrieval
Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
EMNLP, 2021
[paper]
-
Probing Across Time: What Does RoBERTa Know and When?
Leo Z. Liu*, Yizhong Wang*, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
EMNLP Findings, 2021
[paper]
- GooAQ: Open Question Answering with Diverse Answer Types
Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi and Chris Callison-Burch
EMNLP Findings, 2021
[paper]
- Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni and Ali Farhadi
EMNLP, 2021
[paper]
-
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, and Tom Hope
AKBC, 2021
[paper]
-
Efficient Passage Retrieval with Hashing for Open-domain Question Answering
Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi
ACL, 2021
[paper]
-
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
Findings of ACL, 2021
[paper]
-
XOR QA: Cross-lingual Open-Retrieval Question Answering
Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi
NAACL 2021
[paper][project page]
-
Probing Contextual Language Models for Common Ground with Visual Representations
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
NAACL 2021
[paper]
-
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
Aida Amini*, Tom Hope*, David Wadden, Madeleine Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel Weld, Roy Schwartz, and Hannaneh Hajishirzi
NAACL 2021
[paper]
-
DeLighT: Deep and Light-weight Transformer
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, and Hannaneh Hajishirzi
ICLR 2021
[paper][code]
-
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
AAAI 2021
[paper][code]
- 2020
-
Evaluating NLP models via contrast sets
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou
Findings of EMNLP 2020
[paper][code<\/a>]
-
MedICaT: A Dataset of Medical Images, Captions, and Textual References
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
Findings of EMNLP 2020
[paper][code<\/a>]
- 2017
- Scientific Information Extraction with Semi-supervised Neural Tagging
Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi
in Proceedings of the Epirical Methods in Natural Langauge Processing (EMNLP), 2017.
[paper] [Code]
- Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
in Proceedings of the International Conference on Representation Learning (ICLR), 2017.
[paper] [Code] [Website][Demo]
- Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
in Proceedings of the Associations for Computational Linguistics (ACL), 2017.
[paper] [Code]
- University of Washington TAC-KBP 2016 System Description
James Ferguson, Colin Lockard, Natalie Hawkins, Stephen Soderland, Hannaneh Hajishirzi, and Daniel S. Weld
in Proceedings of TAC-KBP, 2017.
[paper] [Code]
- Query-Reduction Networks for Question Answering
Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
in Proceedings of the International Conference on Representation Learning (ICLR), 2017.
[paper] [Code]
- Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
Aniruddha Kembhavi, Minjoon Seo, Eric Klove, Dustin Schwenk, Hannaneh Hajishirzi, Ali Farhadi
in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
[paper] [Data]
- 2016
- A Theme-Rewriting Approach for Generating Algebra Word Problems
Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, and Hannaneh Hajishirzi
in Proceedings of the Emprical Methods in Natural Language Processing (EMNLP), 2016
[paper] [Code and data]
- A Diagram is Worth a Dozen Images
Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, and Ali Farhadi
in Proceedings of the European Conference in Computer Vision (ECCV), 2016
[paper] [Data]
- Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, and Yejin Choi
in Proceedings of the Association for Computational
Linguistics (ACL), 2016
[paper] [project website] [Data]
- Multiplicative Representations for Unsupervised Semantic Role Induction
Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, and Boyang Li
in Proceedings of the Association for Computational
Linguistics (ACL), 2016
[paper]
- Disfluency Detection using a Bidirectional LSTM
Vicky Zayats, Mari Ostendorf and Hannaneh Hajishirzi
in Proceedings of the Interspeech, 2016
[paper]
- MAWPS: A Math Word Problem Repository
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman and Hannaneh Hajishirzi
in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016
[paper]
- A Task-Oriented Approach for Cost-sensitive Recognition
Roozbeh Mottaghi, Hannaneh Hajishirzi, and Ali Farhadi
in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016
[paper]
- Parsing Algebraic Word Problems into Equations
Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, and Siena Dumas Ang
in Transactions of the Association for Computational Linguistics (TACL), 2016
[paper]
- Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi
in Proceedings of the Conference in Artificial Intelligence (AAAI), 2016
[paper]
- 2015
- Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi
in Proceedings of International Conference on Computer Vision (ICCV), 2015
[paper]
- Solving Geometry Problems: Combining Text and Diagram Interpretation
Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, and Clint Malcolm
in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
[paper]
- Talking to the crowd: What do people react to in online discussions?
Aaron Jaech, Vicky Zayats, Hao Fang, Mari Ostendorf, and Hannaneh Hajishirzi
in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
[paper]
- Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning
Mohammad Rastegardi, Hannaneh Hajishirzi, and Ali Farhadi
in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2015
[paper]
- Learning Knowledge Graphs for Question Answering through Conversational Dialog
Ben Hixon, Peter Clark, and Hannaneh Hajishirzi
in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), 2015
[paper][slides][Code and data]
- Aligning Sentences from Standard Wikipedia to Simple Wikipedia
William Hwang, Hannaneh Hajishirzi, Mari Ostendorf, and Wei Wu
in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), 2015
[paper][slides][Code
and data]
- Unediting: Detecting Disfluencies Without Careful Transcripts
Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi
in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), 2015
[paper][slides][Code
and data]
- 2014
- Multi Resolution Language Grounding with Weak Supervision
Rik Koncel Kedziorski, Hannaneh Hajishirzi, and Ali Farhadi
in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'14), 2014.
[paper][slides][Code and data]
- Learning to Solve Arithmetic Word Problems with Verb Categorization
Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, and Nate Kushman
in Proceedings of the Conference on Empirical Methods in Natural Language Processing
(EMNLP'14), 2014.
[paper][slides][code and data]
- Multi-Domain Disfluency and Repair Detection
Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi
in Proceedings of Interspeech
(Interspeech'14), 2014.
[paper][slides][data]
- Diagram Understanding in Geometry Questions
Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, and Oren Etzioni
in Proceedings of the Conference in Artificial Intelligence
(AAAI'14), 2014.
- 2013
- Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves
Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, and Luke Zettlemoyer
in Proceedings of the Conference on Empirical Methods in Natural Language Processing
(EMNLP'13), 2013.
[paper][slides][code and data]
- Managing Chaos: Models of Turn-taking in Character-multichild Interactions
Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, and Jill F. Lehman
in Proceedings of the International Conference on Multimodal Interactions
(ICMI'13), 2013.
[paper]
- Take or Wait? Learning Turn-Taking from Multiparty Data
Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, and Jill F. Lehman
in Late Breaking Report section of National Conference on Artificial Intelligence
(AAAI'13), 2013.
[paper]
- 2012
- Semantic Understanding of Proefessional Soccer Commentaries
Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, and Jessica Hodgins
in Proceedings of 28th
conference on Uncertainty in Artificial Intelligence
(UAI'12), 2012.
[paper][slides][data][press]
- Using Group History to Identify Character-directed Utterances in Multi-child Interactions
Hannaneh Hajishirzi, Jill F. Lehman, and Jessica Hodgins
in Proceedings of 13th SIGdial conference on Discourse and Dialogue
(SIGDIAL'12), 2012.
Best paper award
[paper][slides][patent]
- Question Answering in Natural Language Narratives Using Symbolic Probabilistic Reasoning
Hannaneh Hajishirzi and Erik T. Mueller
in Proceedings of 25th Florida Conference on Artificial Intelligence
(FLAIRS'12), 2012.
[paper][slides]
- Recognizing Character-directed Utterances in Multi-child Interactions
Hannaneh Hajishirzi, Jill Lehman, Kenichi Kumatani, Leonid Segal, and Jessica Hodgins
in late-breaking report section of Human Robot Interaction
(HRI'12), 2012.
[paper]
- 2011
- 2007-2010
- Adaptive Near-Duplicate Detection via Similarity Learning
Hannaneh Hajishirzi, Wen-tau Yih, and Aleksander Kolcz
in Proceedings of the 33rd Annual ACM SIGIR Conference
(SIGIR'10), 2010.
[paper][sldies] [bibtex][patent
-
Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering
Hannaneh Hajishirzi and Eyal Amir
in Proceedings of International Conference on Principles of Knowledge Representation and Reasoning
(KR'10), 2010.
[paper][sldies][bibtex]
-
Greedy Algorithms for Sensing Decision
Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesic Choi, and Eyal Amir
in Proceedings of the 21st International Joint Conference on Artificial Intelligence
(IJCAI'09), 2009.
[paper][sldies][bibtex]
-
Sampling First Order Logical Particles,
Hannaneh Hajishirzi and Eyal Amir
in Proceedings of the 24th conference on Uncertainty in Artificial Intelligence
(UAI'08), 2008.
[paper][sldies][bibtex]
- Stochastic Filtering in a Probabilistic Action Model
Hannaneh Hajishirzi and Eyal Amir
in Proceedings of 22nd National Conference on Artificial Intelligence
(AAAI'07), 2007.
[paper][sldies][bibtex]