Daniel Khashabi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 113

Top Venues

CoRR

EMNLP (Findings)

NAACL-HLT

ACL (Findings)

Publications

Jiefu Ou, Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. CoRR (2024)
Yining Lu, Dixuan Wang, Tianjian Li, Dongwei Jiang, Daniel Khashabi
Benchmarking Language Model Creativity: A Case Study on Code Generation. CoRR (2024)
Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
RORA: Robust Free-Text Rationale Evaluation. ACL (1) (2024)
Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi
Tur[k]ingBench: A Challenge Benchmark for Web Agents. CoRR (2024)
Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation. CoRR (2024)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. ACL (Findings) (2024)
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. ICLR (2024)
Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme
Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. CoRR (2024)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. CoRR (2024)
Abe Bohan Hou, Jingyu Zhang, Yichen Wang, Daniel Khashabi, Tianxing He
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. CoRR (2024)
Abe Bohan Hou, Jingyu Zhang, Yichen Wang, Daniel Khashabi, Tianxing He
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. ACL (Findings) (2024)
Yining Lu, Haoping Yu, Daniel Khashabi
GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution. EACL (1) (2024)
Taiming Lu, Muhan Gao, Kuai Yu, Adam Byerly, Daniel Khashabi
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell. CoRR (2024)
Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Tiyyala, Nicholas Andrews, Daniel Khashabi
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. CoRR (2024)
Jeffrey Cheng, Marc Marone, Orion Weller, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme
Dated Data: Tracing Knowledge Cutoffs in Large Language Models. CoRR (2024)
Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu
The Trickle-down Impact of Reward Inconsistency on RLHF. ICLR (2024)
Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. NAACL-HLT (2024)
Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme
"According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data. EACL (1) (2024)
Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi
SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. CoRR (2024)
Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan L. Yuille
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. CoRR (2024)
Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
RORA: Robust Free-Text Rationale Evaluation. CoRR (2024)
Jingyu Zhang, Marc Marone, Tianjian Li, Benjamin Van Durme, Daniel Khashabi
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data. CoRR (2024)
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
Self-Instruct: Aligning Language Models with Self-Generated Instructions. ACL (1) (2023)
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. ACL (1) (2023)
Yining Lu, Haoping Yu, Daniel Khashabi
GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution. CoRR (2023)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. ICLR (2023)
Lingfeng Shen, Aayush Mishra, Daniel Khashabi
Do pretrained Transformers Really Learn In-context by Gradient Descent? CoRR (2023)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023)
Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme
"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data. CoRR (2023)
Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu
The Trickle-down Impact of Reward (In-)consistency on RLHF. CoRR (2023)
Anastasia Razdaibiedina, Ashish Khetan, Zohar Karnin, Daniel Khashabi, Vivek Madan
Representation Projection Invariance Mitigates Representation Collapse. EMNLP (Findings) (2023)
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. ACL (2) (2023)
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. CoRR (2023)
Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency. CoRR (2023)
Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. CoRR (2023)
Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency. EMNLP (Findings) (2023)
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. CoRR (2022)
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT (2022)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP (2022)
Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. NeurIPS (2022)
Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal
Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL (Findings) (2022)
Daniel Khashabi, Yeganeh Kordi, Hannaneh Hajishirzi
UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training. CoRR (2022)
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR (2022)
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. CoRR (2022)
Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
Reframing Instructional Prompts to GPTk's Language. ACL (Findings) (2022)
Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT (2022)
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. NAACL-HLT (2022)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. CoRR (2022)
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
Self-Instruct: Aligning Language Model with Self Generated Instructions. CoRR (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR (2022)
Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. CoRR (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP (2022)
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
Cross-Task Generalization via Natural Language Crowdsourcing Instructions. ACL (1) (2022)
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. CoRR (2021)
Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR (2021)
Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch
GooAQ: Open Question Answering with Diverse Answer Types. EMNLP (Findings) (2021)
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. CoRR (2021)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR (2021)
Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal
Learning to Solve Complex Tasks by Talking to Agents. CoRR (2021)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP (2021)
Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. Trans. Assoc. Comput. Linguistics 9 (2021)
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR (2021)
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
Reframing Instructional Prompts to GPTk's Language. CoRR (2021)
Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. CoRR (2021)
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
ParsiNLU: A Suite of Language Understanding Challenges for Persian. Trans. Assoc. Comput. Linguistics 9 (2021)
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR (2021)
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. NAACL-HLT (2021)
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) (2021)
Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch
GooAQ: Open Question Answering with Diverse Answer Types. CoRR (2021)
Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. CoRR (2021)
Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth
Temporal Common Sense Acquisition with Minimal Supervision. CoRR (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
UnifiedQA: Crossing Format Boundaries With a Single QA System. CoRR (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal
Natural Perturbation for Robust Question Answering. CoRR (2020)
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. CoRR (2020)
Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. CoRR (2020)
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
ParsiNLU: A Suite of Language Understanding Challenges for Persian. CoRR (2020)
Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar
UNQOVERing Stereotypical Biases via Underspecified Questions. EMNLP (Findings) (2020)
Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth
Temporal Common Sense Acquisition with Minimal Supervision. ACL (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41 (4) (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal
More Bang for Your Buck: Natural Perturbation for Robust Question Answering. EMNLP (1) (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
UnifiedQA: Crossing Format Boundaries With a Single QA System. EMNLP (Findings) (2020)
Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. IJCAI (2020)
Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek Srikumar
UnQovering Stereotyping Biases via Underspecified Questions. CoRR (2020)
Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. ACL (2020)
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. CoRR (2019)
Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. EMNLP/IJCNLP (1) (2019)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth
Question Answering as Global Reasoning over Semantic Abstractions. CoRR (2019)
Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth
Zero-Shot Open Entity Typing as Type-Compatible Grounding. CoRR (2019)
Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth
PerspectroScope: A Window to the World of Diverse Perspectives. ACL (3) (2019)
Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth
On the Capabilities and Limitations of Reasoning for Natural Language Understanding. CoRR (2019)
Daniel Khashabi
Reasoning-Driven Question-Answering for Natural Language Understanding. CoRR (2019)
Haoruo Peng, Daniel Khashabi, Dan Roth
Solving Hard Coreference Problems. CoRR (2019)
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. NAACL-HLT (1) (2019)
Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. CoRR (2019)
Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses. CoRR (2019)
Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth
PerspectroScope: A Window to the World of Diverse Perspectives. CoRR (2019)
Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. CoRR (2019)
Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth
CogCompNLP: Your Swiss Army Knife for NLP. LREC (2018)

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Daniel Khashabi