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  • 2024

    Careless Whisper: Speech-to-Text Hallucination Harms

    Koenecke, A., Choi, A. S. G., Mei, K. X., Schellmann, H. & Sloane, M., Jun 3 2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, Inc, p. 1672-1681 10 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Do Neural Language Models Compose Concepts the Way Humans Can?

    Rodriguez, A., Wang, S. & Pylkkanen, L., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 5309-5314 6 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax

    Mueller, A., Webson, A., Petty, J. & Linzen, T., 2024, Long Papers. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 4761-4779 19 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    (QA)2: Question Answering with Questionable Assumptions

    Kim, N., Htut, P. M., Bowman, S. R. & Petty, J., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 8466-8487 22 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing

    Timkey, W. & Linzen, T., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 8705-8720 16 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • BERT Shows Garden Path Effects

    Irwin, T., Wilson, K. & Marantz, A., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3212-3224 13 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discovering Language Model Behaviors with Model-Written Evaluations

    Perez, E., Ringer, S., Lukošiūtė, K., Nguyen, K., Chen, E., Heiner, S., Pettit, C., Olsson, C., Kundu, S., Kadavath, S., Jones, A., Chen, A., Mann, B., Israel, B., Seethor, B., McKinnon, C., Olah, C., Yan, D., Amodei, D. & Amodei, D. & 44 others, Drain, D., Li, D., Tran-Johnson, E., Khundadze, G., Kernion, J., Landis, J., Kerr, J., Mueller, J., Hyun, J., Landau, J., Ndousse, K., Goldberg, L., Lovitt, L., Lucas, M., Sellitto, M., Zhang, M., Kingsland, N., Elhage, N., Joseph, N., Mercado, N., DasSarma, N., Rausch, O., Larson, R., McCandlish, S., Johnston, S., Kravec, S., Showk, S. E., Lanham, T., Telleen-Lawton, T., Brown, T., Henighan, T., Hume, T., Bai, Y., Hatfield-Dodds, Z., Clark, J., Bowman, S. R., Askell, A., Grosse, R., Hernandez, D., Ganguli, D., Hubinger, E., Schiefer, N., Anthropic, J. K. & Surge, A. I., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 13387-13434 48 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

    Warstadt, A., Mueller, A., Choshen, L., Wilcox, E., Zhuang, C., Ciro, J., Mosquera, R., Paranjape, B., Williams, A., Linzen, T. & Cotterell, R., 2023, CoNLL 2023 - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, Proceedings. Warstadt, A., Mueller, A., Choshen, L., Wilcox, E., Zhuang, C., Ciro, J., Mosquera, R., Paranjabe, B., Williams, A., Linzen, T. & Cotterell, R. (eds.). Association for Computational Linguistics (ACL), p. 1-34 34 p. (CoNLL 2023 - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Holographic Molecular Binding Assays

    Grier, D. G., Quddus, R., Snyder, K. & Kirshenbaum, K., 2023, Quantitative Phase Imaging IX. Liu, Y. & Park, Y. (eds.). SPIE, 123890E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12389).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech

    Yedetore, A., Linzen, T., Frank, R. & McCoy, R. T., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 9370-9393 24 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • How to Plant Trees in LMs: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases

    Mueller, A. & Linzen, T., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 11237-11252 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Instruction Induction: From Few Examples to Natural Language Task Descriptions

    Honovich, O., Shaham, U., Bowman, S. R. & Levy, O., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 1935-1952 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning

    She, J. S., Potts, C., Bowman, S. R. & Geiger, A., 2023, Short Papers. Association for Computational Linguistics (ACL), p. 1803-1821 19 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • SLOG: A Structural Generalization Benchmark for Semantic Parsing

    Li, B., Donatelli, L., Koller, A., Linzen, T., Yao, Y. & Kim, N., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 3213-3232 20 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number

    Hao, S. & Linzen, T., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 4531-4539 9 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • What Do NLP Researchers Believe? Results of the NLP Community Metasurvey

    Michael, J., Holtzman, A., Parrish, A., Mueller, A., Wang, A., Chen, A., Madaan, D., Nangia, N., Pang, R. Y., Phang, J. & Bowman, S. R., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 16334-16368 35 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    A Gentle Introduction to Deep Nets and Opportunities for the Future

    Church, K., Kordoni, V., Marcus, G., Davis, E., Ma, Y. & Chen, Z., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Tutorial Abstracts. Benotti, L., Okazaki, N., Scherrer, Y. & Zampieri, M. (eds.). Association for Computational Linguistics (ACL), p. 1-6 6 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • BBQ: A Hand-Built Bias Benchmark for Question Answering

    Parrish, A., Chen, A., Nangia, N., Padmakumar, V., Phang, J., Thompson, J., Htut, P. M. & Bowman, S. R., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Findings of ACL 2022. Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 2086-2105 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models

    Mueller, A., Xia, Y. & Linzen, T., 2022, CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 95-109 15 p. (CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Characterizing Verbatim Short-Term Memory in Neural Language Models

    Armeni, K., Honey, C. & Linzen, T., 2022, CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 405-424 20 p. (CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Clean or Annotate: How to Spend a Limited Data Collection Budget

    Chen, D., Yu, Z. & Bowman, S. R., 2022, DeepLo 2022 - 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, Proceedings of the DeepLo Workshop. Cherry, C., Fan, A., Foster, G., Haffari, G., Khadivi, S., Peng, N., Ren, X., Shareghi, E. & Swayamdipta, S. (eds.). Association for Computational Linguistics (ACL), p. 152-168 17 p. (DeepLo 2022 - 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, Proceedings of the DeepLo Workshop).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models

    Mueller, A., Frank, R., Linzen, T., Wang, L. & Schuster, S., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Findings of ACL 2022. Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 1352-1368 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Contextual Embeddings Can Distinguish Homonymy from Polysemy in a Human-Like Way

    Wilson, K. & Marantz, A., 2022, ICNLSP 2022 - Proceedings of the 5th International Conference on Natural Language and Speech Processing. Abbas, M. & Freihat, A. A. (eds.). Association for Computational Linguistics (ACL), p. 144-155 12 p. (ICNLSP 2022 - Proceedings of the 5th International Conference on Natural Language and Speech Processing).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs

    Costacurta, J. C., Duncker, L., Sheffer, B., Gillis, W., Weinreb, C., Markowitz, J. E., Datta, S. R., Williams, A. H. & Linderman, S. W., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Effects of Graphene on Twisting of High Density Polyethylene

    Anilal, A., Bendesky, J., Jeong, S., Lee, S. S. & Bozlar, M., 2022, Proceedings of the American Society for Composites - 37th Technical Conference, ASC 2022. Zhupanska, O. & Madenci, E. (eds.). DEStech Publications Inc., (Proceedings of the American Society for Composites - 37th Technical Conference, ASC 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Entailment Semantics Can Be Extracted from an Ideal Language Model

    Merrill, W., Warstadt, A. & Linzen, T., 2022, CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 176-193 18 p. (CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Holographic Molecular Binding Assays

    Grier, D. G., Quddus, R., Snyder, K., Altman, L. E. & Kirshenbaum, K., 2022, Digital Holography and Three-Dimensional Imaging, DH 2022. Optica Publishing Group (formerly OSA), M2A.6. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Improving Compositional Generalization with Latent Structure and Data Augmentation

    Qiu, L., Shaw, P., Pasupat, P., Nowak, P. K., Linzen, T., Sha, F. & Toutanova, K., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4341-4362 22 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations

    Vlasceanu, M., Dudik, M. & Momennejad, I., Jun 21 2022, Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. Association for Computing Machinery, p. 1-10 10 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning sparse features can lead to overfitting in neural networks

    Petrini, L., Vanden-Eijnden, E., Cagnetta, F. & Wyart, M., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors

    Wu, E. G., Brackbill, N., Sher, A., Litke, A. M., Simoncelli, E. P. & Chichilnisky, E. J., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • QuALITY: Question Answering with Long Input Texts, Yes!

    Pang, R. Y., Parrish, A., Joshi, N., Nangia, N., Phang, J., Chen, A., Padmakumar, V., Ma, J., Thompson, J., He, H. & Bowman, S. R., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 5336-5358 23 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit

    Rhea, A., Markey, K., D'Arinzo, L., Schellmann, H., Sloane, M., Squires, P. & Stoyanovich, J., Jul 26 2022, AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 572-587 16 p. (AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions

    Parrish, A., Trivedi, H., Perez, E., Chen, A., Nangia, N., Phang, J. & Bowman, S. R., 2022, LNLS 2022 - 1st Workshop on Learning with Natural Language Supervision, Proceedings of the Workshop. Andreas, J., Narasimhan, K. & Nematzadeh, A. (eds.). Association for Computational Linguistics (ACL), p. 17-28 12 p. (LNLS 2022 - 1st Workshop on Learning with Natural Language Supervision, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Syntactic Surprisal from Neural Models Predicts, but Underestimates, Human Processing Difficulty from Syntactic Ambiguities

    Arehalli, S., Dillon, B. & Linzen, T., 2022, CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 301-313 13 p. (CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail

    Bowman, S. R., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 7484-7499 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • What is the Bureaucratic Counterfactual? Categorical versus Algorithmic Prioritization in U.S. Social Policy

    Johnson, R. A. & Zhang, S., Jun 21 2022, Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. Association for Computing Machinery, p. 1671-1682 12 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • What Makes Reading Comprehension Questions Difficult?

    Sugawara, S., Nangia, N., Warstadt, A. & Bowman, S. R., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 6951-6971 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it

    Schuster, S. & Linzen, T., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 969-982 14 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    Across-animal odor decoding by probabilistic manifold alignment

    Herrero-Vidal, P., Rinberg, D. & Savin, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 20360-20372 13 p. (Advances in Neural Information Processing Systems; vol. 25).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Adaptive Denoising via GainTuning

    Mohan, S., Vincent, J. L., Manzorro, R., Crozier, P. A., Fernandez-Granda, C. & Simoncelli, E. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 23727-23740 14 p. (Advances in Neural Information Processing Systems; vol. 28).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • A sampling-based circuit for optimal decision making

    Rullán Buxó, C. E. & Savin, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 14163-14175 13 p. (Advances in Neural Information Processing Systems; vol. 17).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others

    Gandhi, K., Stojnic, G., Lake, B. M. & Dillon, M. R., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 9963-9976 14 p. (Advances in Neural Information Processing Systems; vol. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Causal analysis of syntactic agreement mechanisms in neural language models

    Finlayson, M., Mueller, A., Gehrmann, S., Shieber, S., Linzen, T. & Belinkov, Y., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1828-1843 16 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Comparing test sets with item response theory

    Vania, C., Htut, P. M., Huang, W., Mungra, D., Pang, R. Y., Phang, J., Liu, H., Cho, K. & Bowman, S. R., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1141-1158 18 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction

    Ravfogel, S., Prasad, G., Linzen, T. & Goldberg, Y., 2021, CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings. Bisazza, A. & Abend, O. (eds.). Association for Computational Linguistics (ACL), p. 194-209 16 p. (CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Credit Assignment Through Broadcasting a Global Error Vector

    Clark, D. G., Abbott, L. F. & Chung, S. Y., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 10053-10066 14 p. (Advances in Neural Information Processing Systems; vol. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection

    Suhr, A., Vania, C., Nangia, N., Sap, M., Yatskar, M., Bowman, S. R. & Artzi, Y., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts. Association for Computational Linguistics (ACL), p. 1-6 6 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • CURI: A Benchmark for Productive Concept Learning under Uncertainty

    Vedantam, R., Szlam, A., Nickel, M., Morcos, A. & Lake, B., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 10519-10529 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Does Putting a Linguist in the Loop Improve NLU Data Collection?

    Parrish, A., Huang, W., Agha, O., Lee, S. H., Nangia, N., Warstadt, A., Aggarwal, K., Allaway, E., Linzen, T. & Bowman, S. R., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M.-F., Huang, X., Specia, L. & Yih, S. W.-T. (eds.). Association for Computational Linguistics (ACL), p. 4886-4901 16 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution