Faculty of Arts and Science

2022

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

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., 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

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

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, MA., 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, MA., 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, MA., 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, MA., 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, MA., 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

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., 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

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks

Nayebi, A., Attinger, A., Campbell, M. G., Hardcastle, K., Low, I. I. C., Mallory, C. S., Mel, G. C., Sorscher, B., Williams, A. H., Ganguli, S., Giocomo, L. M. & Yamins, D. L. K., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 12167-12179 13 p. (Advances in Neural Information Processing Systems; vol. 15).

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

Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance between White and Black

Brams, S. J. & Ismail, M. S., 2021, 2021 IEEE Conference on Games, CoG 2021. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2021-August).

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

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers

Phang, J., Liu, H. & Bowman, S. R., 2021, BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), p. 529-538 10 p. (BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP).

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

Frequency Effects on Syntactic Rule Learning in Transformers

Wei, J., Garrette, D., Linzen, T. & Pavlick, E., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 932-948 17 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

Generalized Shape Metrics on Neural Representations

Williams, A. H., Kunz, E., Kornblith, S. & Linderman, S. W., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 4738-4750 13 p. (Advances in Neural Information Processing Systems; vol. 6).

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

Impression learning: Online representation learning with synaptic plasticity

Bredenberg, C., Lyo, B. S. H., Simoncelli, E. P. & Savin, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 11717-11729 13 p. (Advances in Neural Information Processing Systems; vol. 14).

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

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Nye, M., Tessler, M. H., Tenenbaum, J. B. & Lake, B. M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25192-25204 13 p. (Advances in Neural Information Processing Systems; vol. 30).

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

Modeling Infant Free Play Using Hidden Markov Models

Le, H., Hoch, J. E., Ossmy, O., Adolph, K. E., Fern, X. & Fern, A., Aug 23 2021, IEEE International Conference on Development and Learning, ICDL 2021. Institute of Electrical and Electronics Engineers Inc., Vol. 2021. (IEEE International Conference on Development and Learning, ICDL 2021).

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

Mueller matrix orientation parameters unwrapping for statistically viable distribution

Wan, J., Yao, Y., Liu, Y., Arnold, S. & Ma, H., 2021, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics. Ramella-Roman, J. C., Ma, H., Novikova, T., Elson, D. S. & Vitkin, I. A. (eds.). SPIE, 116460L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11646).

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

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Dapello, J., Feather, J., Le, H., Marques1, T., Cox, D. D., McDermott, J. H., Dicarlo, J. J. & Chung, S. Y., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 15595-15607 13 p. (Advances in Neural Information Processing Systems; vol. 19).

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

Neural unsupervised parsing beyond english

Kann, K., Mohananey, A., Cho, K. & Bowman, S. R., 2021, DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings. Association for Computational Linguistics (ACL), p. 209-218 10 p. (DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings).

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

NOPE: A Corpus of Naturally-Occurring Presuppositions in English

Parrish, A., Schuster, S., Warstadt, A., Agha, O., Lee, S. H., Zhao, Z., Bowman, S. R. & Linzen, T., 2021, CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings. Bisazza, A. & Abend, O. (eds.). Association for Computational Linguistics (ACL), p. 349-366 18 p. (CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings).

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

Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser

Kadkhodaie, Z. & Simoncelli, E. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 13242-13254 13 p. (Advances in Neural Information Processing Systems; vol. 16).

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

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models

Alleman, M., Mamou, J., Del Rio, M. A., Tang, H., Kim, Y. & Chung, S. Y., 2021, RepL4NLP 2021 - 6th Workshop on Representation Learning for NLP, Proceedings of the Workshop. Rogers, A., Calixto, I., Calixto, I., Vulic, I., Saphra, N., Kassner, N., Camburu, O-M., Bansal, T. & Shwartz, V. (eds.). Association for Computational Linguistics (ACL), p. 263-276 14 p. (RepL4NLP 2021 - 6th Workshop on Representation Learning for NLP, Proceedings of the Workshop).

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

The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation

Aina, L. & Linzen, T., 2021, BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), p. 42-57 16 p. (BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP).

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

Unsupervised Deep Video Denoising

Sheth, D. Y., Mohan, S., Vincent, J. L., Manzorro, R., Crozier, P. A., Khapra, M. M., Simoncelli, E. P. & Fernandez-Granda, C., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 1739-1748 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

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

What ingredients make for an effective crowdsourcing protocol for difficult NLU data collection tasks?

Nangia, N., Sugawara, S., Trivedi, H., Warstadt, A., Vania, C. & 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. 1221-1235 15 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

What Will it Take to Fix Benchmarking in Natural Language Understanding?

Bowman, S. R. & Dahl, G. E., 2021, NAACL-HLT 2021 - 2021 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. 4843-4855 13 p. (NAACL-HLT 2021 - 2021 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

When do you need billions of words of pretraining data?

Zhang, Y., Warstadt, A., Li, H. S. & 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. 1112-1125 14 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

2020

AutoViDev: A Computer-Vision Framework to Enhance and Accelerate Research in Human Development

Ossmy, O., Gilmore, R. O. & Adolph, K. E., 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 147-156 10 p. (Advances in Intelligent Systems and Computing; vol. 944).

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

Can you tell me how to get past sesame street? Sentence-level pretraining beyond language modeling

Wang, A., Hula, J., Xia, P., Pappagari, R., Thomas McCoy, R., Patel, R., Kim, N., Tenney, I., Huang, Y., Yu, K., Jin, S., Chen, B., van Durme, B., Grave, E., Pavlick, E. & Bowman, S. R., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4465-4476 12 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

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

COGS: A compositional generalization challenge based on semantic interpretation

Kim, N. & Linzen, T., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 9087-9105 19 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

Cross-linguistic syntactic evaluation of word prediction models

Mueller, A., Nicolai, G., Petrou-Zeniou, P., Talmina, N. & Linzen, T., 2020, ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 5523-5539 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

CrowS-Pairs: A challenge dataset for measuring social biases in masked language models

Nangia, N., Vania, C., Bhalerao, R. & Bowman, S. R., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1953-1967 15 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

Cryogenic single-molecule active control microscopy with a photoactivatable fluorescent protein

Sartor, A. M., Dahlberg, P. D., Wang, J., Saurabh, S., Shapiro, L. & Moerner, W. E., 2020, Single Molecule Spectroscopy and Superresolution Imaging XIII. Gregor, I., Koberling, F. & Erdmann, R. (eds.). SPIE, 112460G. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11246).

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

Faculty of Arts and Science

Research output

Search results