Publications

My work is regularly published at leading AI, ML, and NLP conferences (NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL). The full list of publications is available on my Google Scholar and Semantic Scholar.

2025

• Tulu 3: Pushing Frontiers in Open Language Model Post-Training
  Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James Validad Miranda, Alisa Liu, Nouha Dziri, Xinxi Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Christopher Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi
  COLM, 2025
  
• EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
  Zhiyuan Zeng, Yizhong Wang, Hannaneh Hajishirzi, Pang Wei Koh
  COLM, 2025
  
• Establishing Task Scaling Laws via Compute-Efficient Model Ladders
  Akshita Bhagia, Jiacheng Liu, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi
  COLM, 2025
  
• ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
  Tong Chen, Faeze Brahman, Jiacheng Liu, Niloofar Mireshghallah, Weijia Shi, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi
  COLM, 2025
  
• 2 OLMo 2 Furious
  OLMo Team, Evan Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Allyson Ettinger, Michal Guerquin, David Heineman, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James Validad Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Jake Poznanski, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
  COLM, 2025
  
• Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
  Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, YenSung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross Girshick, Ali Farhadi, Aniruddha Kembhavi
  CVPR, 2025 — Best paper honorable mention
  
• Fluid Language Model Benchmarking
  Valentin Hofmann, David Heineman, Ian Magnusson, Kyle Lo, Jesse Dodge, Maarten Sap, Pang Wei Koh, Chun Wang, Hannaneh Hajishirzi, Noah A. Smith
  COLM, 2025
  
• OLMES: A Standard for Language Model Evaluations
  Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi
  Findings of NAACL, 2025
  
• SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
  David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
  ACL, 2025
  
• Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
  Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
  ACL, 2025
  
• OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
  Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, YenSung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge
  ACL Demo Track, 2025 Best Demo Paper Award
  
• RewardBench: Evaluating Reward Models for Language Modeling
  Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James Validad Miranda, Bill Yuchen Lin, Khyathi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi
  Findings of NAACL, 2025
  
• ComPO: Community Preferences for Language Model Personalization
  Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi
  NAACL, 2025
  
• A Systematic Examination of Preference Learning through the Lens of Instruction-Following
  Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
  NAACL, 2025
  
• OLMoE: Open Mixture-of-Experts Language Models
  Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi
  ICLR, Oral, 2025
  
• Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
  Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
  ICLR, Spotlight, 2025
  

2024

• Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
  Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
  NeurIPS, 2024
  
• MatFormer: Nested Transformer for Elastic Inference
  Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
  NeurIPS, 2024
  
• Decoding-Time Language Model Alignment with Multiple Objectives
  Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon Shaolei Du
  NeurIPS, 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 Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
  NeurIPS D&B, 2024
  
• Paloma: A Benchmark for Evaluating Language Model Fit
  Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
  NeurIPS D&B, 2024
  
• ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
  Mohammadreza Salehi, Jae Sung Park, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi
  NeurIPS D&B, 2024
  
• Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
  Gary (Jiacheng) Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi
  COLM, 2024
  
• Fine-grained Hallucination Detection and Editing for Language Models
  Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi
  COLM, 2024
  
• Membership Inference Attacks Work on Large Language Models?
  Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
  COLM, 2024
  
• Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding
  Gary (Jiacheng) Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz
  COLM, 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
  ACL, 2024 — Best paper award
  
• 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 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
  ACL, 2024 — Best Resource Paper Award
  
• Set the Clock: Temporal Alignment of Pretrained Language Models
  Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A Smith
  ACL, 2024
  
• APT: Adaptive pruning and tuning pretrained language models for efficient training and inference
  Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao
  ICLR, 2024
  
• Data Engineering for Scaling Language Models to 128K Context
  Y Fu, R Panda, X Niu, X Yue, H Hajishirzi, Y Kim, H Peng
  ICML, 2024
  
• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
  Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi
  ICLR, 2024
  
• MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Context
  Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
  ICLR, 2024
  
• What's In My Big Data?
  Yanai Elazar, Akshita Bhagia, Ian Helgi Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge
  ICLR, 2024
  
• SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
  Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer
  ICLR, 2024
  
• BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
  Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
  ICLR, 2024
  

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
  
• 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 Hajishirzi
  ACL, 2023
  
• Task-Aware Retrieval with Instructions
  Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
  Findings of ACL, 2023
  
• PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
  ACL, 2023
  
• CREPE: Open-Domain Question Answering with False Presuppositions
  Xinyan Velocity Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi
  ACL, 2023
  
• Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations
  Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi
  ACL, 2023
  
• Nonparametric Masked Language Modeling
  Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
  Findings of ACL, 2023
  
• HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation
  Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew Peters
  ACL, 2023
  
• Elaboration-Generating Commonsense Question Answering at Scale
  Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith
  ACL, 2023
  
• Data-Efficient Finetuning Using Cross-Task Nearest Neighbors
  Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
  Findings of ACL, 2023
  
• 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
  
• 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
  
• Editing Models with Task Arithmetic
  Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
  ICLR, 2023
  
• INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
  Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
  TACL, 2023
  

2022

• Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
  Yizhong Wang, Swaroop Mishra, ..., Hannaneh Hajishirzi, Daniel Khashabi
  EMNLP, 2022
  [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
  
• ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
  Akari Asai, Mohammadreza Salehi, Mathew Peters, Hannaneh Hajishirzi
  EMNLP, 2022
  
• 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
  
• 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
  
• 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
  
• 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
  
• NaturalProver: Grounded Mathematical Proof Generation with Language Models
  Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
  NeurIPS, 2022
  
• 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
  
• MetaICL: Learning to Learn In Context
  Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
  NAACL, 2022
  
• 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
  
• Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
  Akari Asai, Matt Gardner, Hannaneh Hajishirzi
  NAACL, 2022
  
• Aligning to Social Norms and Values in Interactive Narratives
  Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajizhirzi, Yejin Choi
  NAACL, 2022
  
• 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
  
• 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 Best Paper Award Finalist
  
• Cross-Task Generalization via Natural Language Crowdsourcing Instructions
  Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
  ACL, 2022
  
• Noisy Channel Language Model Prompting for Few-Shot Text Classification
  Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
  ACL, 2022
  
• FaVIQ: FAct Verification from Information-seeking Questions
  Jungsoo Park, Sewon Min, Jaewoo Jang, Luke Zettlemoyer, Hannaneh Hajishirzi
  ACL, 2022
  
• 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
  
• Reframing Instructional Prompts to GPTk's Language
  Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
  ACL, 2022
  

2021

• One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
  Akari Asai, Xinyan Yu, Jungo Kasai, Hannaneh Hajishirzi
  NeurIPS, 2021
  
• DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
  Zeqiu Wu*, Bo-Ru Lu*, Hannaneh Hajishirzi, Mari Ostendorf
  EMNLP, 2021
  
• Joint Passage Ranking for Diverse Multi-Answer Retrieval
  Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
  EMNLP, 2021
  
• Probing Across Time: What Does RoBERTa Know and When?
  Leo Z. Liu*, Yizhong Wang*, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
  EMNLP Findings, 2021
  
• GooAQ: Open Question Answering with Diverse Answer Types
  Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch
  EMNLP Findings, 2021
  
• 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, Ali Farhadi
  EMNLP, 2021
  
• Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
  Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope
  AKBC, 2021
  
• Efficient Passage Retrieval with Hashing for Open-domain Question Answering
  Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi
  ACL, 2021
  
• Prompting Contrastive Explanations for Commonsense Reasoning Tasks
  Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
  Findings of ACL, 2021
  
• XOR QA: Cross-lingual Open-Retrieval Question Answering
  Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi
  NAACL, 2021
  [project page]
• Probing Contextual Language Models for Common Ground with Visual Representations
  Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
  NAACL, 2021
  
• 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, Hannaneh Hajishirzi
  NAACL, 2021
  
• DeLighT: Deep and Light-weight Transformer
  Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
  ICLR, 2021 [code]
  
• MultiModalQA: Complex Question Answering over Text, Tables and Images
  Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
  ICLR, 2021 [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 [code]
  
• DiCENet: Dimension-wise convolutions for efficient networks
  Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari
  PAMI Journal [code]
  

2020

• An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
  Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
  EMNLP, 2020 [code]
  
• Fact or Fiction: Verifying Scientific Claims
  David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
  EMNLP, 2020 [code]
  
• AmbigQA: Answering Ambiguous Open-domain Questions
  Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer
  EMNLP, 2020 [code]
  
• Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
  Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
  EMNLP, 2020 [code]
  
• X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
  Jaemin Cho, Jiasen Li, Hannaneh Hajishirzi, Ani Kembhavi
  EMNLP, 2020 [code]
  
• IIRC: A Dataset of Incomplete Information / Reading Comprehension Questions
  James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
  EMNLP, 2020 [code]
  
• UnifiedQA: Crossing Format Boundaries With a Single QA System
  Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
  Findings of EMNLP, 2020 [code]
  
• 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 [code]
  
• 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 [code]
  
• Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
  Akari Asai, Hannaneh Hajishirzi
  ACL, 2020 [code]
  
• ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
  Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
  ACL, 2020
  
• SciREX: A Challenge Dataset for Document-Level Information Extraction
  Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy
  ACL, 2020
  [dataset: SciREX] [code]
• Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
  Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang
  ACL, 2020 [code: SPARC]
  
• Procedural Reading Comprehension with Attribute-Aware Context Flow
  Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi
  AKBC, 2020 — Best paper honorable mention
  
• DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling
  Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
  ICLR, 2020
  
• Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
  Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
  ICLR, 2020
  [code]

2019

• Entity, Relation, and Event Extraction with Contextualized Span Representations
  David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi
  EMNLP, 2019 [code: DyGIE++]
  
• Mixture Content Selection for Diverse Sequence Generation
  Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
  EMNLP, 2019 [code]
  
• A Discrete Hard EM Approach for Weakly Supervised Question Answering
  Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer
  EMNLP, 2019 [code]
  
• On making reading comprehension more comprehensive
  Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
  Machine Reading and Question Answering Workshop (MRQA), 2019
  
• Question Answering is a Format; When is it Useful?
  Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
  arXiv preprint, 2019
  
• Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
  Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
  ACL, 2019 [Demo]
  
• Multi-hop Reading Comprehension through Question Decomposition and Rescoring
  Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
  ACL, 2019 [code]
  
• Compositional Questions Do Not Necessitate Multi-hop Reasoning
  Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
  ACL, 2019 [code]
  
• A General Framework for Information Extraction using Dynamic Span Graphs
  Yi Luan, David Wadden, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi
  NAACL, 2019 [code]
  
• Text Generation from Knowledge Graphs with Graph Transformers
  Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi
  NAACL, 2019 [code]
  
• MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
  Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi
  NAACL, 2019 [code]
  
• ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
  Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
  CVPR, 2019 [code]
  

2018

• Pyramidal Recurrent Unit for Language Modeling
  Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
  EMNLP, 2018 [code]
  
• Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
  Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi
  EMNLP, 2018
  [Dataset and code]
• Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
  Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
  EMNLP, 2018
  [PiQA Task]
• ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
  Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda Shapiro, Hannaneh Hajishirzi
  ECCV, 2018 [code]
  
• Semi-Supervised Event Extraction with Paraphrase Clusters
  James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi
  NAACL, 2018
  [code] [Data]
• UW system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings
  Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi
  SemEval, 2018
  
• Neural Speed Reading via Skim-RNN
  Sewon Min, Minjoon Seo, Ali Farhadi, Hannaneh Hajishirzi
  ICLR, 2018 [code]
  

2017

• Scientific Information Extraction with Semi-supervised Neural Tagging
  Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi
  EMNLP, 2017 [code]
  
• Bidirectional Attention Flow for Machine Comprehension
  Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
  ICLR, 2017
  [code] [Website] [Demo]
• Question Answering through Transfer Learning from Large Fine-grained Supervision Data
  Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
  ACL, 2017 [code]
  
• University of Washington TAC-KBP 2016 System Description
  James Ferguson, Colin Lockard, Natalie Hawkins, Stephen Soderland, Hannaneh Hajishirzi, Daniel S. Weld
  TAC-KBP, 2017 [code]
  
• Query-Reduction Networks for Question Answering
  Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
  ICLR, 2017 [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
  CVPR, 2017
  [Data]

2016

• A Theme-Rewriting Approach for Generating Algebra Word Problems
  Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi
  EMNLP, 2016 [code and data]
  
• A Diagram is Worth a Dozen Images
  Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi
  ECCV, 2016
  [Data]
• Learning Prototypical Event Structure from Photo Albums
  Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, Yejin Choi
  ACL, 2016
  [project website] [Data]
• Multiplicative Representations for Unsupervised Semantic Role Induction
  Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li
  ACL, 2016
  
• Disfluency Detection using a Bidirectional LSTM
  Vicky Zayats, Mari Ostendorf, Hannaneh Hajishirzi
  Interspeech, 2016
  
• MAWPS: A Math Word Problem Repository
  Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Hannaneh Hajishirzi
  NAACL, 2016
  
• A Task-Oriented Approach for Cost-sensitive Recognition
  Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi
  CVPR, 2016
  
• Parsing Algebraic Word Problems into Equations
  Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, Siena Dumas Ang
  TACL, 2016
  
• Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
  Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
  AAAI, 2016
  

2015

• Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
  Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
  ICCV, 2015
  
• Solving Geometry Problems: Combining Text and Diagram Interpretation
  Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm
  EMNLP, 2015
  
• Talking to the crowd: What do people react to in online discussions?
  Aaron Jaech, Vicky Zayats, Hao Fang, Mari Ostendorf, Hannaneh Hajishirzi
  EMNLP, 2015
  
• Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning
  Mohammad Rastegardi, Hannaneh Hajishirzi, Ali Farhadi
  CVPR, 2015
  
• Learning Knowledge Graphs for Question Answering through Conversational Dialog
  Ben Hixon, Peter Clark, Hannaneh Hajishirzi
  NAACL HLT, 2015
  [code and data]
• Aligning Sentences from Standard Wikipedia to Simple Wikipedia
  William Hwang, Hannaneh Hajishirzi, Mari Ostendorf, Wei Wu
  NAACL HLT, 2015
  [code and data]
• Unediting: Detecting Disfluencies Without Careful Transcripts
  Victoria Zayats, Mari Ostendorf, Hannaneh Hajishirzi
  NAACL HLT, 2015
  [code and data]

2014

• Multi Resolution Language Grounding with Weak Supervision
  Rik Koncel Kedziorski, Hannaneh Hajishirzi, Ali Farhadi
  EMNLP, 2014
  [code and data]
• Learning to Solve Arithmetic Word Problems with Verb Categorization
  Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman
  EMNLP, 2014
  [code and data]
• Multi-Domain Disfluency and Repair Detection
  Victoria Zayats, Mari Ostendorf, Hannaneh Hajishirzi
  Interspeech, 2014
  [data]
• Diagram Understanding in Geometry Questions
  Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni
  AAAI, 2014

2013

• Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves
  Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, Luke Zettlemoyer
  EMNLP, 2013
  [code and data]
• Managing Chaos: Models of Turn-taking in Character-multichild Interactions
  Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, Jill F. Lehman
  ICMI, 2013
  
• Take or Wait? Learning Turn-Taking from Multiparty Data
  Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, Jill F. Lehman
  AAAI (Late Breaking Report), 2013
  

2012

• Semantic Understanding of Professional Soccer Commentaries
  Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica Hodgins
  UAI, 2012
  [data] [press]
• Using Group History to Identify Character-directed Utterances in Multi-child Interactions
  Hannaneh Hajishirzi, Jill F. Lehman, Jessica Hodgins
  SIGDIAL, 2012 — Best paper award [patent]
  
• Question Answering in Natural Language Narratives Using Symbolic Probabilistic Reasoning
  Hannaneh Hajishirzi, Erik T. Mueller
  FLAIRS, 2012
  
• Recognizing Character-directed Utterances in Multi-child Interactions
  Hannaneh Hajishirzi, Jill Lehman, Kenichi Kumatani, Leonid Segal, Jessica Hodgins
  HRI (Late-breaking report), 2012
  

2011

• Action-centered Reasoning for Probabilistic Dynamic Systems
  Hannaneh Hajishirzi
  PhD Thesis, University of Illinois at Urbana-Champaign, 2011
• Reasoning in Robocup Soccer Narratives
  Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, Eyal Amir
  UAI, 2011
  
• Symbolic Probabilistic Reasoning for Narratives
  Hannaneh Hajishirzi, Erik T. Mueller
  Commonsense, 2011
  

2007–2010

• Adaptive Near-Duplicate Detection via Similarity Learning
  Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz
  SIGIR, 2010 [patent]
  
• Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering
  Hannaneh Hajishirzi, Eyal Amir
  KR, 2010
  
• Greedy Algorithms for Sensing Decision
  Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesic Choi, Eyal Amir
  IJCAI, 2009
  
• Sampling First Order Logical Particles
  Hannaneh Hajishirzi, Eyal Amir
  UAI, 2008
  
• Stochastic Filtering in a Probabilistic Action Model
  Hannaneh Hajishirzi, Eyal Amir
  AAAI, 2007
  

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