Hannaneh Hajishirzi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
152
Venues
19
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
152 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. | Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, 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 |
| 2025 | ACL | Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. | Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi |
| 2025 | ACL | Steering off Course: Reliability Challenges in Steering Language Models. | Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar |
| 2025 | CVPR | Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language 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, Yen-Sung 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 B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2025 | EMNLP | s1: Simple test-time scaling. | Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Cands, Tatsunori Hashimoto |
| 2025 | EMNLP | SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. | David Wadden, Kejian Shi, Jacob Morrison, Alan Li, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan |
| 2025 | EMNLP | Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index. | Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | ICLR | Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions. | Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal |
| 2025 | ICML | Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. | Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini |
| 2025 | NAACL | OLMES: A Standard for Language Model Evaluations. | Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi |
| 2025 | NAACL | 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 |
| 2025 | NAACL | ComPO: Community Preferences for Language Model Personalization. | Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | NAACL | RewardBench: Evaluating Reward Models for Language Modeling. | Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | SIGIR | A Large-Scale Study of Reranker Relevance Feedback at Inference. | Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | Set the Clock: Temporal Alignment of Pretrained Language Models. | Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith |
| 2024 | ECCV | Getting it Right: Improving Spatial Consistency in Text-to-Image Models. | Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang |
| 2024 | EMNLP | CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. | Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh |
| 2024 | EMNLP | Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. | Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi |
| 2024 | ICLR | Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. | Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi |
| 2024 | ICLR | BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. | Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi |
| 2024 | ICLR | 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 |
| 2024 | ICLR | MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. | Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao |
| 2024 | ICLR | 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 |
| 2024 | ICML | Data Engineering for Scaling Language Models to 128K Context. | Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng |
| 2024 | ICML | APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference. | Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao |
| 2024 | NAACL | BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. | Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi |
| 2023 | ACL | CREPE: Open-Domain Question Answering with False Presuppositions. | Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ACL | Task-aware Retrieval with Instructions. | Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih |
| 2023 | ACL | PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. | Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi |
| 2023 | ACL | HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. | Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters |
| 2023 | ACL | Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. | Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi |
| 2023 | ACL | Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. | Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ACL | 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 |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | ACL | Self-Instruct: Aligning Language Models with Self-Generated Instructions. | Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi |
| 2023 | ACL | Elaboration-Generating Commonsense Question Answering at Scale. | Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith |
| 2023 | ACL | FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. | Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi |
| 2023 | EMNLP | Crystal: Introspective Reasoners Reinforced with Self-Feedback. | Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz |
| 2023 | EMNLP | Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. | Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi |
| 2023 | EMNLP | TaskWeb: Selecting Better Source Tasks for Multi-task NLP. | Joongwon Kim, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi |
| 2023 | EMNLP | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. | Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | EMNLP | SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. | Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi |
| 2023 | EMNLP | Machine Reading Comprehension using Case-based Reasoning. | Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum |
| 2023 | ICLR | Editing models with task arithmetic. | Gabriel Ilharco, Marco Tlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi |
| 2023 | ICLR | AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. | Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ICLR | Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. | Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiant Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi |
| 2023 | ICML | Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. | Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox |
| 2022 | ACL | Generated Knowledge Prompting for Commonsense Reasoning. | Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi |
| 2022 | ACL | Reframing Instructional Prompts to GPTk's Language. | Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi |
| 2022 | ACL | Noisy Channel Language Model Prompting for Few-Shot Text Classification. | Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | ACL | Cross-Task Generalization via Natural Language Crowdsourcing Instructions. | Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi |
| 2022 | ACL | FaVIQ: FAct Verification from Information-seeking Questions. | Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2022 | CVPR | 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 |
| 2022 | EMNLP | Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. | Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi |
| 2022 | EMNLP | ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. | Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi |
| 2022 | EMNLP | Exploring The Landscape of Distributional Robustness for Question Answering Models. | Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt |
| 2022 | EMNLP | Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. | Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov |
| 2022 | EMNLP | CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. | Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | SciFact-Open: Towards open-domain scientific claim verification. | David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi |
| 2022 | EMNLP | CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. | Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Hannaneh Hajishirzi, Mari Ostendorf, Gaurav Singh Tomar |
| 2022 | ICML | Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. | Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum |
| 2022 | NAACL | Aligning to Social Norms and Values in Interactive Narratives. | Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi |
| 2022 | NAACL | Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. | Akari Asai, Matt Gardner, Hannaneh Hajishirzi |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2022 | NAACL | MetaICL: Learning to Learn In Context. | Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2022 | NAACL | 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 |
| 2021 | AAAI | 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 |
| 2021 | ACL | Prompting Contrastive Explanations for Commonsense Reasoning Tasks. | Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2021 | ACL | Efficient Passage Retrieval with Hashing for Open-domain Question Answering. | Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi |
| 2021 | EMNLP | 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 |
| 2021 | EMNLP | GooAQ: Open Question Answering with Diverse Answer Types. | Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch |
| 2021 | EMNLP | Probing Across Time: What Does RoBERTa Know and When? | Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith |
| 2021 | EMNLP | Joint Passage Ranking for Diverse Multi-Answer Retrieval. | Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi |
| 2021 | EMNLP | DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization. | Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi, Mari Ostendorf |
| 2021 | ICLR | DeLighT: Deep and Light-weight Transformer. | Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2021 | ICLR | 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 |
| 2021 | NAACL | XOR QA: Cross-lingual Open-Retrieval Question Answering. | Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi |
| 2021 | NAACL | Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. | Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi |
| 2021 | NAACL | Probing Contextual Language Models for Common Ground with Visual Representations. | Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi |
| 2020 | ACL | Logic-Guided Data Augmentation and Regularization for Consistent Question Answering. | Akari Asai, Hannaneh Hajishirzi |
| 2020 | ACL | Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. | Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar |
| 2020 | ACL | SciREX: A Challenge Dataset for Document-Level Information Extraction. | Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy |
| 2020 | ACL | Contextualized Sparse Representations for Real-Time Open-Domain Question Answering. | Jinhyuk Lee, Min Joon Seo, Hannaneh Hajishirzi, Jaewoo Kang |
| 2020 | ACL | ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. | Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi |
| 2020 | EMNLP | Evaluating Models' Local Decision Boundaries 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, Hannaneh 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 |
| 2020 | EMNLP | X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. | Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi |
| 2020 | EMNLP | IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. | James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi |
| 2020 | EMNLP | UnifiedQA: Crossing Format Boundaries With a Single QA System. | Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi |
| 2020 | EMNLP | AmbigQA: Answering Ambiguous Open-domain Questions. | Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2020 | EMNLP | An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. | Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. | Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Fact or Fiction: Verifying Scientific Claims. | David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi |
| 2020 | ICLR | Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. | Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong |
| 2020 | ICLR | DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. | Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi |
| 2020 | KDD | Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. | Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar |
| 2020 | WSDM | Web-scale Knowledge Collection. | Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi |
| 2019 | ACL | Compositional Questions Do Not Necessitate Multi-hop Reasoning. | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | ACL | Multi-hop Reading Comprehension through Question Decomposition and Rescoring. | Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2019 | ACL | Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. | Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi |
| 2019 | CVPR | ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. | Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi |
| 2019 | EMNLP | Mixture Content Selection for Diverse Sequence Generation. | Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi |
| 2019 | EMNLP | A Discrete Hard EM Approach for Weakly Supervised Question Answering. | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | EMNLP | Entity, Relation, and Event Extraction with Contextualized Span Representations. | David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi |
| 2019 | NAACL | MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. | Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi |
| 2019 | NAACL | Text Generation from Knowledge Graphs with Graph Transformers. | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi |
| 2019 | NAACL | A general framework for information extraction using dynamic span graphs. | Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi |
| 2018 | ECCV | ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. | Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi |
| 2018 | EMNLP | Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. | Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi |
| 2018 | EMNLP | Pyramidal Recurrent Unit for Language Modeling. | Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi |
| 2018 | EMNLP | Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. | Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi |
| 2018 | ICLR | Neural Speed Reading via Skim-RNN. | Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi |
| 2018 | NAACL | Semi-Supervised Event Extraction with Paraphrase Clusters. | James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi |
| 2017 | ACL | Question Answering through Transfer Learning from Large Fine-grained Supervision Data. | Sewon Min, Min Joon Seo, Hannaneh Hajishirzi |
| 2017 | CVPR | Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. | Aniruddha Kembhavi, Min Joon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi |
| 2017 | EMNLP | Scientific Information Extraction with Semi-supervised Neural Tagging. | Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi |
| 2017 | ICLR | Bidirectional Attention Flow for Machine Comprehension. | Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi |
| 2017 | ICLR | Query-Reduction Networks for Question Answering. | Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi |
| 2016 | AAAI | Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. | Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi |
| 2016 | ACL | Learning Prototypical Event Structure from Photo Albums. | Antoine Bosselut, Jianfu Chen, David Scott Warren, Hannaneh Hajishirzi, Yejin Choi |
| 2016 | ACL | Multiplicative Representations for Unsupervised Semantic Role Induction. | Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li |
| 2016 | CVPR | A Task-Oriented Approach for Cost-Sensitive Recognition. | Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi |
| 2016 | ECCV | A Diagram is Worth a Dozen Images. | Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi |
| 2016 | EMNLP | A Theme-Rewriting Approach for Generating Algebra Word Problems. | Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2016 | Interspeech | Disfluency Detection Using a Bidirectional LSTM. | Vicky Zayats, Mari Ostendorf, Hannaneh Hajishirzi |
| 2016 | NAACL | MAWPS: A Math Word Problem Repository. | Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Hannaneh Hajishirzi |
| 2015 | CVPR | Discriminative and consistent similarities in instance-level Multiple Instance Learning. | Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi |
| 2015 | EMNLP | Talking to the crowd: What do people react to in online discussions? | Aaron Jaech, Victoria Zayats, Hao Fang, Mari Ostendorf, Hannaneh Hajishirzi |
| 2015 | EMNLP | Solving Geometry Problems: Combining Text and Diagram Interpretation. | Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm |
| 2015 | ICCV | Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. | Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi |
| 2015 | NAACL | Learning Knowledge Graphs for Question Answering through Conversational Dialog. | Ben Hixon, Peter Clark, Hannaneh Hajishirzi |
| 2015 | NAACL | Aligning Sentences from Standard Wikipedia to Simple Wikipedia. | William Hwang, Hannaneh Hajishirzi, Mari Ostendorf, Wei Wu |
| 2015 | NAACL | Unediting: Detecting Disfluencies Without Careful Transcripts. | Victoria Zayats, Mari Ostendorf, Hannaneh Hajishirzi |
| 2014 | AAAI | Diagram Understanding in Geometry Questions. | Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni |
| 2014 | EMNLP | Learning to Solve Arithmetic Word Problems with Verb Categorization. | Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman |
| 2014 | EMNLP | Multi-Resolution Language Grounding with Weak Supervision. | Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ali Farhadi |
| 2014 | Interspeech | Multi-domain disfluency and repair detection. | Victoria Zayats, Mari Ostendorf, Hannaneh Hajishirzi |
| 2013 | AAAI | Take or Wait? Learning Turn-Taking from Multiparty Data. | Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, Jill Fain Lehman |
| 2013 | EMNLP | Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves. | Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, Luke Zettlemoyer |
| 2013 | ICMI | Managing chaos: models of turn-taking in character-multichild interactions. | Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, Jill Fain Lehman |
| 2012 | FlAIRS | Question Answering in Natural Language Narratives Using Symbolic Probabilistic Reasoning. | Hannaneh Hajishirzi, Erik T. Mueller |
| 2012 | UAI | Semantic Understanding of Professional Soccer Commentaries. | Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins |
| 2012 | SIGdial | Using Group History to Identify Character-Directed Utterances in Multi-Child Interactions. | Hannaneh Hajishirzi, Jill Fain Lehman, Jessica K. Hodgins |
| 2011 | UAI | Reasoning about RoboCup Soccer Narratives. | Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, Eyal Amir |
| 2010 | KR | Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering. | Hannaneh Hajishirzi, Eyal Amir |
| 2010 | SIGIR | Adaptive near-duplicate detection via similarity learning. | Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz |
| 2009 | IJCAI | Greedy Algorithms for Sequential Sensing Decisions. | Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesik Choi, Eyal Amir |
| 2008 | UAI | Sampling First Order Logical Particles. | Hannaneh Hajishirzi, Eyal Amir |
| 2007 | AAAI | Stochastic Filtering in a Probabilistic Action Model. | Hannaneh Hajishirzi, Eyal Amir |