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Ellie Pavlick
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2020 – today
- 2024
- [c65]Martha Lewis, Nihal V. Nayak, Peilin Yu, Jack Merullo, Qinan Yu, Stephen H. Bach, Ellie Pavlick:
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models. EACL (Findings) 2024: 1487-1500 - [c64]Jessica Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick:
Re-Evaluating Evaluation for Multilingual Summarization. EMNLP 2024: 19476-19493 - [c63]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Circuit Component Reuse Across Tasks in Transformer Language Models. ICLR 2024 - [c62]Tianze Hua, Tian Yun, Ellie Pavlick:
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models? NAACL-HLT (Findings) 2024: 1585-1598 - [c61]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Language Models Implement Simple Word2Vec-style Vector Arithmetic. NAACL-HLT 2024: 5030-5047 - [i62]Aaron Traylor, Jack Merullo, Michael J. Frank, Ellie Pavlick:
Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks. CoRR abs/2402.08211 (2024) - [i61]Jacob Russin
, Ellie Pavlick, Michael J. Frank:
Human Curriculum Effects Emerge with In-Context Learning in Neural Networks. CoRR abs/2402.08674 (2024) - [i60]Kunal Handa, Yarin Gal, Ellie Pavlick, Noah D. Goodman, Jacob Andreas, Alex Tamkin, Belinda Z. Li:
Bayesian Preference Elicitation with Language Models. CoRR abs/2403.05534 (2024) - [i59]Senjuti Dutta, Sherol Chen, Sunny Mak, Amnah Ahmad, Katherine Maeve Collins, Alena Butryna, Deepak Ramachandran, Krishnamurthy Dvijotham, Ellie Pavlick, Ravi Rajakumar:
Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction. CoRR abs/2403.05576 (2024) - [i58]Tianze Hua, Tian Yun, Ellie Pavlick:
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models? CoRR abs/2404.12444 (2024) - [i57]Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou:
Lessons from the Trenches on Reproducible Evaluation of Language Models. CoRR abs/2405.14782 (2024) - [i56]Suraj Anand, Michael A. Lepori, Jack Merullo, Ellie Pavlick:
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting. CoRR abs/2406.00053 (2024) - [i55]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models. CoRR abs/2406.09519 (2024) - [i54]Sam Musker, Alex Duchnowski, Raphaël Millière, Ellie Pavlick:
Semantic Structure-Mapping in LLM and Human Analogical Reasoning. CoRR abs/2406.13803 (2024) - [i53]Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick:
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR abs/2406.15955 (2024) - [i52]Ruochen Zhang, Qinan Yu, Matianyu Zang, Carsten Eickhoff, Ellie Pavlick:
The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling. CoRR abs/2410.09223 (2024) - [i51]Enyan Zhang, Zewei Wang, Michael A. Lepori, Ellie Pavlick, Helena Aparicio:
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers. CoRR abs/2410.13984 (2024) - [i50]Apoorv Khandelwal, Tian Yun, Nihal V. Nayak, Jack Merullo, Stephen H. Bach, Chen Sun, Ellie Pavlick:
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources. CoRR abs/2410.23261 (2024) - 2023
- [j10]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) - [j9]Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun:
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Trans. Mach. Learn. Res. 2023 (2023) - [c60]Apoorv Khandelwal, Ellie Pavlick, Chen Sun:
Analyzing Modular Approaches for Visual Question Decomposition. EMNLP 2023: 2590-2603 - [c59]Albert Webson, Alyssa Marie Loo, Qinan Yu, Ellie Pavlick:
Are Language Models Worse than Humans at Following Prompts? It's Complicated. EMNLP (Findings) 2023: 7662-7686 - [c58]Qinan Yu, Jack Merullo, Ellie Pavlick:
Characterizing Mechanisms for Factual Recall in Language Models. EMNLP 2023: 9924-9959 - [c57]Tian Yun, Zilai Zeng, Kunal Handa, Ashish V. Thapliyal, Bo Pang, Ellie Pavlick, Chen Sun:
Emergence of Abstract State Representations in Embodied Sequence Modeling. EMNLP 2023: 12190-12205 - [c56]Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick:
Linearly Mapping from Image to Text Space. ICLR 2023 - [c55]Aaron Traylor, Roman Feiman, Ellie Pavlick:
Can Neural Networks Learn Implicit Logic from Physical Reasoning? ICLR 2023 - [c54]Michael A. Lepori, Thomas Serre, Ellie Pavlick:
Break It Down: Evidence for Structural Compositionality in Neural Networks. NeurIPS 2023 - [i49]Albert Webson, Alyssa Marie Loo, Qinan Yu, Ellie Pavlick:
Are Language Models Worse than Humans at Following Prompts? It's Complicated. CoRR abs/2301.07085 (2023) - [i48]Michael A. Lepori, Thomas Serre, Ellie Pavlick:
Break It Down: Evidence for Structural Compositionality in Neural Networks. CoRR abs/2301.10884 (2023) - [i47]Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi:
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs. CoRR abs/2303.08114 (2023) - [i46]Dylan Ebert, Chen Sun, Ellie Pavlick:
Comparing Trajectory and Vision Modalities for Verb Representation. CoRR abs/2303.12737 (2023) - [i45]Sam Musker, Ellie Pavlick:
Testing Causal Models of Word Meaning in GPT-3 and -4. CoRR abs/2305.14630 (2023) - [i44]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Language Models Implement Simple Word2Vec-style Vector Arithmetic. CoRR abs/2305.16130 (2023) - [i43]Charles Lovering, Ellie Pavlick:
Training Priors Predict Text-To-Image Model Performance. CoRR abs/2306.01755 (2023) - [i42]Michael A. Lepori, Ellie Pavlick, Thomas Serre:
NeuroSurgeon: A Toolkit for Subnetwork Analysis. CoRR abs/2309.00244 (2023) - [i41]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Circuit Component Reuse Across Tasks in Transformer Language Models. CoRR abs/2310.08744 (2023) - [i40]Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick:
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. CoRR abs/2310.09612 (2023) - [i39]Enyan Zhang, Michael A. Lepori, Ellie Pavlick:
Instilling Inductive Biases with Subnetworks. CoRR abs/2310.10899 (2023) - [i38]Qinan Yu, Jack Merullo, Ellie Pavlick:
Characterizing Mechanisms for Factual Recall in Language Models. CoRR abs/2310.15910 (2023) - [i37]Tian Yun, Zilai Zeng, Kunal Handa, Ashish V. Thapliyal, Bo Pang, Ellie Pavlick, Chen Sun:
Emergence of Abstract State Representations in Embodied Sequence Modeling. CoRR abs/2311.02171 (2023) - [i36]Michael A. Lepori, Thomas Serre, Ellie Pavlick:
Uncovering Intermediate Variables in Transformers using Circuit Probing. CoRR abs/2311.04354 (2023) - [i35]Apoorv Khandelwal, Ellie Pavlick, Chen Sun:
Analyzing Modular Approaches for Visual Question Decomposition. CoRR abs/2311.06411 (2023) - 2022
- [j8]Thao Nguyen
Affordance-based robot object retrieval. Auton. Robots 46(1): 83-98 (2022) - [j7]Yoonseon Oh, Roma Patel, Thao Nguyen, Baichuan Huang, Matthew Berg, Ellie Pavlick, Stefanie Tellex:
Hierarchical planning with state abstractions for temporal task specifications. Auton. Robots 46(6): 667-683 (2022) - [j6]Charles Lovering, Ellie Pavlick:
Unit Testing for Concepts in Neural Networks. Trans. Assoc. Comput. Linguistics 10: 1193-1208 (2022) - [c53]Roma Patel, Ellie Pavlick:
Mapping Language Models to Grounded Conceptual Spaces. ICLR 2022 - [c52]Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR 2022 - [c51]Albert Webson, Ellie Pavlick:
Do Prompt-Based Models Really Understand the Meaning of Their Prompts? NAACL-HLT 2022: 2300-2344 - [c50]Dylan Ebert, Chen Sun, Ellie Pavlick:
Do Trajectories Encode Verb Meaning? NAACL-HLT 2022: 2860-2871 - [c49]Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. NeurIPS 2022 - [c48]Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick:
Pretraining on Interactions for Learning Grounded Affordance Representations. *SEM@NAACL-HLT 2022: 258-277 - [e1]Vivi Nastase, Ellie Pavlick, Mohammad Taher Pilehvar, José Camacho-Collados, Alessandro Raganato:
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2022, Seattle, WA, USA, July 14-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-98-8 [contents] - [i34]Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun:
Do Vision-Language Pretrained Models Learn Primitive Concepts? CoRR abs/2203.17271 (2022) - [i33]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
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i32]Dylan Ebert, Chen Sun, Ellie Pavlick:
Do Trajectories Encode Verb Meaning? CoRR abs/2206.11953 (2022) - [i31]Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick:
Pretraining on Interactions for Learning Grounded Affordance Representations. CoRR abs/2207.02272 (2022) - [i30]Charles Lovering, Ellie Pavlick:
Unit Testing for Concepts in Neural Networks. CoRR abs/2208.10244 (2022) - [i29]Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick:
Linearly Mapping from Image to Text Space. CoRR abs/2209.15162 (2022) - [i28]Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR abs/2211.05100 (2022) - [i27]Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR abs/2211.14673 (2022) - [i26]Martha Lewis
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models. CoRR abs/2212.10537 (2022) - 2021
- [c47]Aaron Traylor, Roman Feiman, Ellie Pavlick:
AND does not mean OR: Using Formal Languages to Study Language Models' Representations. ACL/IJCNLP (2) 2021: 158-167 - [c46]Nam Do, Ellie Pavlick:
Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions. ACL/IJCNLP (Findings) 2021: 2061-2073 - [c45]Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran:
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. ACL/IJCNLP (1) 2021: 3932-3945 - [c44]Sheridan Feucht, Babak Hemmatian, Rachel Avram, Alexander Wey, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality. CogSci 2021 - [c43]Alexander Wey, Babak Hemmatian, Rachel Avram, Sheridan Feucht, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
Can computers tell a story? Discourse Structure in Computer-generated Text and Humans. CogSci 2021 - [c42]Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard:
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color. CoNLL 2021: 109-132 - [c41]Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick:
Frequency Effects on Syntactic Rule Learning in Transformers. EMNLP (1) 2021: 932-948 - [c40]Tian Yun, Chen Sun, Ellie Pavlick:
Does Vision-and-Language Pretraining Improve Lexical Grounding? EMNLP (Findings) 2021: 4357-4366 - [c39]Roma Patel, Ellie Pavlick:
"Was it "stated" or was it "claimed"?: How linguistic bias affects generative language models. EMNLP (1) 2021: 10080-10095 - [c38]Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick:
Predicting Inductive Biases of Pre-Trained Models. ICLR 2021 - [c37]Kaiyu Zheng, Deniz Bayazit, Rebecca Mathew, Ellie Pavlick, Stefanie Tellex:
Spatial Language Understanding for Object Search in Partially Observed City-scale Environments. RO-MAN 2021: 315-322 - [i25]Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran:
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. CoRR abs/2101.00391 (2021) - [i24]Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick:
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR abs/2106.16163 (2021) - [i23]Albert Webson, Ellie Pavlick:
Do Prompt-Based Models Really Understand the Meaning of their Prompts? CoRR abs/2109.01247 (2021) - [i22]Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard:
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color. CoRR abs/2109.06129 (2021) - [i21]Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick:
Frequency Effects on Syntactic Rule Learning in Transformers. CoRR abs/2109.07020 (2021) - [i20]Tian Yun, Chen Sun, Ellie Pavlick:
Does Vision-and-Language Pretraining Improve Lexical Grounding? CoRR abs/2109.10246 (2021) - [i19]Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
A Novel Corpus of Discourse Structure in Humans and Computers. CoRR abs/2111.05940 (2021) - 2020
- [j5]Talie Massachi, Grant Fong, Varun Mathur, Sachin R. Pendse, Gabriela Hoefer
Sochiatrist: Signals of Affect in Messaging Data. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 111:1-111:25 (2020) - [c36]Yonatan Belinkov, Sebastian Gehrmann, Ellie Pavlick:
Interpretability and Analysis in Neural NLP. ACL (tutorial) 2020: 1-5 - [c35]Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney:
What Happens To BERT Embeddings During Fine-tuning? BlackboxNLP@EMNLP 2020: 33-44 - [c34]Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick:
Do "Undocumented Workers" == "Illegal Aliens"? Differentiating Denotation and Connotation in Vector Spaces. EMNLP (1) 2020: 4090-4105 - [c33]Matthew Berg, Deniz Bayazit, Rebecca Mathew, Ariel Rotter-Aboyoun, Ellie Pavlick, Stefanie Tellex:
Grounding Language to Landmarks in Arbitrary Outdoor Environments. ICRA 2020: 208-215 - [c32]Thao Nguyen, Nakul Gopalan, Roma Patel, Matthew Corsaro, Ellie Pavlick, Stefanie Tellex
Robot Object Retrieval with Contextual Natural Language Queries. Robotics: Science and Systems 2020 - [c31]Roma Patel, Ellie Pavlick, Stefanie Tellex:
Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications. Robotics: Science and Systems 2020 - [c30]Dylan Ebert, Ellie Pavlick:
A Visuospatial Dataset for Naturalistic Verb Learning. *SEM@COLING 2020: 143-153 - [i18]Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney:
What Happens To BERT Embeddings During Fine-tuning? CoRR abs/2004.14448 (2020) - [i17]Rohan Jha, Charles Lovering, Ellie Pavlick:
When does data augmentation help generalization in NLP? CoRR abs/2004.15012 (2020) - [i16]Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex:
Robot Object Retrieval with Contextual Natural Language Queries. CoRR abs/2006.13253 (2020) - [i15]Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick:
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces. CoRR abs/2010.02976 (2020) - [i14]Charles Lovering, Ellie Pavlick:
Self-play for Data Efficient Language Acquisition. CoRR abs/2010.04872 (2020) - [i13]Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov:
Measuring and Reducing Gendered Correlations in Pre-trained Models. CoRR abs/2010.06032 (2020) - [i12]Dylan Ebert, Ellie Pavlick:
A Visuospatial Dataset for Naturalistic Verb Learning. CoRR abs/2010.15225 (2020) - [i11]Kaiyu Zheng, Deniz Bayazit, Rebecca Mathew, Ellie Pavlick, Stefanie Tellex:
Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments. CoRR abs/2012.02705 (2020)
2010 – 2019
- 2019
- [j4]Ellie Pavlick, Tom Kwiatkowski:
Inherent Disagreements in Human Textual Inferences. Trans. Assoc. Comput. Linguistics 7: 677-694 (2019) - [c29]Tom McCoy, Ellie Pavlick, Tal Linzen:
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. ACL (1) 2019: 3428-3448 - [c28]Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman:
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) 2019: 4465-4476 - [c27]Ian Tenney, Dipanjan Das, Ellie Pavlick:
BERT Rediscovers the Classical NLP Pipeline. ACL (1) 2019: 4593-4601 - [c26]Nicholas Tomlin, Ellie Pavlick:
Emergent Compositionality in Signaling Games. CogSci 2019: 3593 - [c25]Alexis Ross, Ellie Pavlick:
How well do NLI models capture verb veridicality? EMNLP/IJCNLP (1) 2019: 2230-2240 - [c24]Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick:
What do you learn from context? Probing for sentence structure in contextualized word representations. ICLR (Poster) 2019 - [c23]Yoonseon Oh, Roma Patel, Thao Nguyen, Baichuan Huang, Ellie Pavlick, Stefanie Tellex:
Planning with State Abstractions for Non-Markovian Task Specifications. Robotics: Science and Systems 2019 - [c22]Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. *SEM@NAACL-HLT 2019: 235-249 - [i10]R. Thomas McCoy, Ellie Pavlick, Tal Linzen:
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. CoRR abs/1902.01007 (2019) - [i9]Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR abs/1904.11544 (2019) - [i8]Ian Tenney, Dipanjan Das, Ellie Pavlick:
BERT Rediscovers the Classical NLP Pipeline. CoRR abs/1905.05950 (2019) - [i7]Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick:
What do you learn from context? Probing for sentence structure in contextualized word representations. CoRR abs/1905.06316 (2019) - [i6]Yoonseon Oh, Roma Patel, Thao Nguyen, Baichuan Huang, Ellie Pavlick, Stefanie Tellex:
Planning with State Abstractions for Non-Markovian Task Specifications. CoRR abs/1905.12096 (2019) - 2018
- [c21]Adam Poliak, Aparajita Haldar, Rachel Rudinger
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP 2018: 67-81 - [c20]Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das:
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. EMNLP 2018: 305-315 - [c19]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP 2018: 337-340 - [c18]Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki
Learning Scalar Adjective Intensity from Paraphrases. EMNLP 2018: 1752-1762 - [i5]Adam Poliak, Aparajita Haldar
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR abs/1804.08207 (2018) - [i4]Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das:
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. CoRR abs/1808.09422 (2018) - [i3]Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen:
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR abs/1812.10860 (2018) - 2017
- [c17]Ellie Pavlick, Marius Pasca:
Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition. ACL (1) 2017: 2099-2109 - [i2]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - 2016
- [j3]Ellie Pavlick, Joel R. Tetreault:
An Empirical Analysis of Formality in Online Communication. Trans. Assoc. Comput. Linguistics 4: 61-74 (2016) - [j2]Wei Xu
Optimizing Statistical Machine Translation for Text Simplification. Trans. Assoc. Comput. Linguistics 4: 401-415 (2016) - [c16]Ellie Pavlick, Chris Callison-Burch:
Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns. ACL (1) 2016 - [c15]Ellie Pavlick, Chris Callison-Burch:
Simple PPDB: A Paraphrase Database for Simplification. ACL (2) 2016 - [c14]Ellie Pavlick, Heng Ji, Xiaoman Pan, Chris Callison-Burch:
The Gun Violence Database: A new task and data set for NLP. EMNLP 2016: 1018-1024 - [c13]Ellie Pavlick, Chris Callison-Burch:
Tense Manages to Predict Implicative Behavior in Verbs. EMNLP 2016: 2225-2229 - [c12]Ellie Pavlick, Chris Callison-Burch:
So-Called Non-Subsective Adjectives. *SEM@ACL 2016 - [i1]Ellie Pavlick, Chris Callison-Burch:
The Gun Violence Database. CoRR abs/1610.01670 (2016) - 2015
- [c11]Ellie Pavlick, Juri Ganitkevitch, Tsz Ping Chan, Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch:
Domain-Specific Paraphrase Extraction. ACL (2) 2015: 57-62 - [c10]Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme:
FrameNet+: Fast Paraphrastic Tripling of FrameNet. ACL (2) 2015: 408-413 - [c9]Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. ACL (2) 2015: 425-430 - [c8]Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch:
Adding Semantics to Data-Driven Paraphrasing. ACL (1) 2015: 1512-1522 - [c7]Anne Cocos, Aaron J. Masino, Ting Qian, Ellie Pavlick, Chris Callison-Burch:
Effectively Crowdsourcing Radiology Report Annotations. Louhi@EMNLP 2015: 109-114 - [c6]Ellie Pavlick, Chris Callison-Burch:
Extracting Structured Information via Automatic + Human Computation. HCOMP 2015: 26-27 - [c5]Chris Callison-Burch, Lyle H. Ungar, Ellie Pavlick:
Crowdsourcing for NLP. HLT-NAACL 2015: 2-3 - [c4]Ellie Pavlick, Ani Nenkova:
Inducing Lexical Style Properties for Paraphrase and Genre Differentiation. HLT-NAACL 2015: 218-224 - 2014
- [j1]Ellie Pavlick, Matt Post, Ann Irvine, Dmitry Kachaev, Chris Callison-Burch:
The Language Demographics of Amazon Mechanical Turk. Trans. Assoc. Comput. Linguistics 2: 79-92 (2014) - [c3]Rui Yan, Mingkun Gao, Ellie Pavlick, Chris Callison-Burch:
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors. ACL (1) 2014: 1134-1144 - [c2]Ellie Pavlick, Rui Yan, Chris Callison-Burch:
Crowdsourcing for grammatical error correction. CSCW Companion 2014: 209-212 - [c1]Quanze Chen, Chenyang Lei, Wei Xu, Ellie Pavlick, Chris Callison-Burch:
Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse. HCOMP 2014: 10-11
Coauthor Index
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