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2020 – today
- 2024
- [j3]Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano:
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. Trans. Mach. Learn. Res. 2024 (2024) - [c42]Da Ju, Karen Ullrich, Adina Williams:
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality. ACL (Findings) 2024: 4254-4274 - [c41]Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano:
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. FAccT 2024: 585-601 - [i57]Yanli Zhou, Brenden M. Lake, Adina Williams:
Compositional learning of functions in humans and machines. CoRR abs/2403.12201 (2024) - [i56]Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal:
Improving Text-to-Image Consistency via Automatic Prompt Optimization. CoRR abs/2403.17804 (2024) - [i55]Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang:
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2404.06214 (2024) - [i54]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i53]Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew M. Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale:
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. CoRR abs/2404.16019 (2024) - [i52]Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano:
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. CoRR abs/2405.04457 (2024) - [i51]Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim:
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More. CoRR abs/2406.05183 (2024) - [i50]Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall:
Decomposed evaluations of geographic disparities in text-to-image models. CoRR abs/2406.11988 (2024) - [i49]Vipul Gupta, David Pantoja, Candace Ross, Adina Williams, Megan Ung:
Changing Answer Order Can Decrease MMLU Accuracy. CoRR abs/2406.19470 (2024) - [i48]Da Ju, Karen Ulrich, Adina Williams:
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality. CoRR abs/2408.02948 (2024) - 2023
- [c40]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. AAAI 2023: 13591-13599 - [c39]Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. ACL (1) 2023: 6043-6063 - [c38]Kaiser Sun, Adina Williams, Dieuwke Hupkes:
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoNLL 2023: 274-293 - [c37]David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith:
ROBBIE: Robust Bias Evaluation of Large Generative Language Models. EMNLP 2023: 3764-3814 - [c36]Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha:
Robustness of Named-Entity Replacements for In-Context Learning. EMNLP (Findings) 2023: 10914-10931 - [c35]Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - [c34]Benjamin Muller, Belen Alastruey, Prangthip Hansanti, Elahe Kalbassi, Christophe Ropers, Eric Michael Smith, Adina Williams, Luke Zettlemoyer, Pierre Andrews, Marta R. Costa-jussà:
The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages. WMT 2023: 536-550 - [i47]Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang:
Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2301.11796 (2023) - [i46]Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun:
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR abs/2307.05775 (2023) - [i45]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i44]Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano:
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. CoRR abs/2308.06198 (2023) - [i43]Benjamin Muller, Belen Alastruey, Prangthip Hansanti, Elahe Kalbassi, Christophe Ropers, Eric Michael Smith, Adina Williams, Luke Zettlemoyer, Pierre Andrews, Marta R. Costa-jussà:
The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages. CoRR abs/2308.16871 (2023) - [i42]Kaiser Sun, Adina Williams, Dieuwke Hupkes:
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoRR abs/2310.17514 (2023) - [i41]David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith:
ROBBIE: Robust Bias Evaluation of Large Generative Language Models. CoRR abs/2311.18140 (2023) - [i40]Karolina Stanczak, Kevin Du, Adina Williams, Isabelle Augenstein, Ryan Cotterell:
Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective. CoRR abs/2311.18567 (2023) - [i39]Maureen de Seyssel, Antony D'Avirro, Adina Williams, Emmanuel Dupoux:
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models. CoRR abs/2312.14069 (2023) - 2022
- [c33]Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, Douwe Kiela:
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. ACL (demo) 2022: 174-181 - [c32]Eric Wallace, Adina Williams, Robin Jia, Douwe Kiela:
Analyzing Dynamic Adversarial Training Data in the Limit. ACL (Findings) 2022: 202-217 - [c31]Adi Renduchintala, Adina Williams:
Investigating Failures of Automatic Translationin the Case of Unambiguous Gender. ACL (1) 2022: 3454-3469 - [c30]Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes:
Evaluating locality in NMT models. CogSci 2022 - [c29]Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell:
Benchmarking Compositionality with Formal Languages. COLING 2022: 6007-6018 - [c28]Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross:
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality. CVPR 2022: 5228-5238 - [c27]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. EMNLP (Findings) 2022: 4449-4472 - [c26]Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, Adina Williams:
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset. EMNLP 2022: 9180-9211 - [c25]Rebecca Qian, Candace Ross, Jude Fernandes, Eric Michael Smith, Douwe Kiela, Adina Williams:
Perturbation Augmentation for Fairer NLP. EMNLP 2022: 9496-9521 - [c24]Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams:
On the Machine Learning of Ethical Judgments from Natural Language. NAACL-HLT 2022: 769-779 - [i38]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. CoRR abs/2201.08214 (2022) - [i37]Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, Douwe Kiela:
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. CoRR abs/2204.01906 (2022) - [i36]Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross:
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality. CoRR abs/2204.03162 (2022) - [i35]Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, Adina Williams:
"I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset. CoRR abs/2205.09209 (2022) - [i34]Rebecca Qian, Candace Ross, Jude Fernandes, Eric Michael Smith, Douwe Kiela, Adina Williams:
Perturbation Augmentation for Fairer NLP. CoRR abs/2205.12586 (2022) - [i33]Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. CoRR abs/2207.10062 (2022) - [i32]Josef Valvoda, Naomi Saphra, Jonathan Rawski, Ryan Cotterell, Adina Williams:
Learning Transductions to Test Systematic Compositionality. CoRR abs/2208.08195 (2022) - [i31]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. CoRR abs/2210.12574 (2022) - [i30]Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. CoRR abs/2212.08979 (2022) - 2021
- [j2]Adina Williams, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach, Ryan Cotterell:
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. Trans. Assoc. Comput. Linguistics 9: 139-159 (2021) - [c23]Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
UnNatural Language Inference. ACL/IJCNLP (1) 2021: 7329-7346 - [c22]Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? BlackboxNLP@EMNLP 2021: 1-14 - [c21]Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, Dieuwke Hupkes:
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network. CoNLL 2021: 94-108 - [c20]Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) 2021: 2888-2913 - [c19]Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Ungrammatical Translations. EMNLP (Findings) 2021: 3205-3227 - [c18]Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams:
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 2021: 4110-4124 - [c17]Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela:
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. NeurIPS 2021: 10351-10367 - [i29]Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
Unnatural Language Inference. CoRR abs/2101.00010 (2021) - [i28]Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR abs/2104.06644 (2021) - [i27]Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Translationese. CoRR abs/2104.07623 (2021) - [i26]Adithya Renduchintala, Adina Williams:
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender. CoRR abs/2104.07838 (2021) - [i25]Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams:
Dynabench: Rethinking Benchmarking in NLP. CoRR abs/2104.14337 (2021) - [i24]Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela:
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. CoRR abs/2106.06052 (2021) - [i23]Eric Michael Smith, Adina Williams:
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models. CoRR abs/2109.03300 (2021) - [i22]Eric Wallace, Adina Williams, Robin Jia, Douwe Kiela:
Analyzing Dynamic Adversarial Training Data in the Limit. CoRR abs/2110.08514 (2021) - [i21]Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams:
A Word on Machine Ethics: A Response to Jiang et al. (2021). CoRR abs/2111.04158 (2021) - 2020
- [c16]Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell:
Information-Theoretic Probing for Linguistic Structure. ACL 2020: 4609-4622 - [c15]Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. ACL 2020: 4885-4901 - [c14]Adina Williams, Tiago Pimentel, Hagen Blix, Arya D. McCarthy, Eleanor Chodroff, Ryan Cotterell:
Predicting Declension Class from Form and Meaning. ACL 2020: 6682-6695 - [c13]Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell:
A Tale of a Probe and a Parser. ACL 2020: 7389-7395 - [c12]Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, Adina Williams:
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition. ACL 2020: 8690-8705 - [c11]Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell:
Intrinsic Probing through Dimension Selection. EMNLP (1) 2020: 197-216 - [c10]Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams:
Multi-Dimensional Gender Bias Classification. EMNLP (1) 2020: 314-331 - [c9]Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell:
Pareto Probing: Trading Off Accuracy for Complexity. EMNLP (1) 2020: 3138-3153 - [c8]Arya D. McCarthy, Adina Williams, Shijia Liu, David Yarowsky, Ryan Cotterell:
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. EMNLP (1) 2020: 5664-5675 - [c7]Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, Jason Weston:
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation. EMNLP (1) 2020: 8173-8188 - [c6]Ekaterina Vylomova, Jennifer C. White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis M. Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden:
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. SIGMORPHON 2020: 1-39 - [i20]Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell:
Information-Theoretic Probing for Linguistic Structure. CoRR abs/2004.03061 (2020) - [i19]Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, Adina Williams:
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition. CoRR abs/2004.03066 (2020) - [i18]Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams:
Multi-Dimensional Gender Bias Classification. CoRR abs/2005.00614 (2020) - [i17]Adina Williams, Tiago Pimentel, Arya D. McCarthy, Hagen Blix, Eleanor Chodroff, Ryan Cotterell:
Predicting Declension Class from Form and Meaning. CoRR abs/2005.00626 (2020) - [i16]Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach:
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. CoRR abs/2005.01204 (2020) - [i15]Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell:
A Tale of a Probe and a Parser. CoRR abs/2005.01641 (2020) - [i14]Ekaterina Vylomova, Jennifer C. White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis M. Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden:
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. CoRR abs/2006.11572 (2020) - [i13]Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell:
Pareto Probing: Trading Off Accuracy for Complexity. CoRR abs/2010.02180 (2020) - [i12]Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell:
Intrinsic Probing through Dimension Selection. CoRR abs/2010.02812 (2020) - [i11]Adina Williams, Tristan Thrush, Douwe Kiela:
ANLIzing the Adversarial Natural Language Inference Dataset. CoRR abs/2010.12729 (2020) - [i10]Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? CoRR abs/2012.13354 (2020)
2010 – 2019
- 2019
- [c5]Adina Williams, Damián E. Blasi, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell:
Quantifying the Semantic Core of Gender Systems. EMNLP/IJCNLP (1) 2019: 5733-5738 - [c4]Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. NAACL-HLT (1) 2019: 4100-4106 - [i9]Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. CoRR abs/1902.10193 (2019) - [i8]Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach:
Quantifying the Semantic Core of Gender Systems. CoRR abs/1910.13497 (2019) - [i7]Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. CoRR abs/1910.14599 (2019) - [i6]Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, Jason Weston:
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation. CoRR abs/1911.03842 (2019) - 2018
- [j1]Adina Williams, Andrew Drozdov, Samuel R. Bowman:
Do latent tree learning models identify meaningful structure in sentences? Trans. Assoc. Comput. Linguistics 6: 253-267 (2018) - [c3]Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. EMNLP 2018: 2475-2485 - [c2]Adina Williams, Nikita Nangia, Samuel R. Bowman:
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. NAACL-HLT 2018: 1112-1122 - [i5]Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. CoRR abs/1809.05053 (2018) - [i4]Katharina Kann, Alex Warstadt, Adina Williams, Samuel R. Bowman:
Verb Argument Structure Alternations in Word and Sentence Embeddings. CoRR abs/1811.10773 (2018) - 2017
- [c1]Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman:
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. RepEval@EMNLP 2017: 1-10 - [i3]Adina Williams, Nikita Nangia, Samuel R. Bowman:
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. CoRR abs/1704.05426 (2017) - [i2]Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman:
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. CoRR abs/1707.08172 (2017) - [i1]Adina Williams, Andrew Drozdov, Samuel R. Bowman:
Learning to parse from a semantic objective: It works. Is it syntax? CoRR abs/1709.01121 (2017)