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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 38 1 EnvEdit: Environment Editing for Vision-and-Language Navigation ... Li, Jialu; Tan, Hao; Bansal, Mohit. - : arXiv, 2022 BASE Show details 2 How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language ... Zhang, Shiyue; Frey, Ben; Bansal, Mohit. - : arXiv, 2022 BASE Show details 3 FixMyPose: Pose Correctional Captioning and Retrieval ... Kim, Hyounghun; Zala, Abhay; Burri, Graham. - : arXiv, 2021 BASE Show details 4 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ... Saha, Swarnadeep; Yadav, Prateek; Bansal, Mohit. - : arXiv, 2021 BASE Show details 5 MTVR: Multilingual Moment Retrieval in Videos ... Lei, Jie; Berg, Tamara L.; Bansal, Mohit. - : arXiv, 2021 BASE Show details 6 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bansal, Mohit; Guo, Han. - : Underline Science Inc., 2021 BASE Show details 7 ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bansal, Mohit; Bauer, Lisa. - : Underline Science Inc., 2021 BASE Show details 8 Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization ... Maharana, Adyasha; Bansal, Mohit. - : arXiv, 2021 BASE Show details 9 EmailSum: Abstractive Email Thread Summarization ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Celikyilmaz, Asli. - : Underline Science Inc., 2021 BASE Show details 10 Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bansal, Mohit; Jiang, Yichen. - : Underline Science Inc., 2021 BASE Show details 11 I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 12 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Chang, Shih-Fu. - : Underline Science Inc., 2021 BASE Show details 13 Continuous Language Generative Flow ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Kim, Hyounghun. - : Underline Science Inc., 2021 BASE Show details 14 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ... NAACL 2021 2021; Bansal, Mohit; Saha, Swarnadeep. - : Underline Science Inc., 2021 BASE Show details 15 ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Frey, Benjamin. - : Underline Science Inc., 2021 BASE Show details 16 Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bansal, Mohit; Maharana, Adyasha. - : Underline Science Inc., 2021 BASE Show details 17 Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Ramakanth; Bansal, Mohit. - : Underline Science Inc., 2021 BASE Show details 18 Continual Few-Shot Learning for Text Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Ramakanth; Bansal, Mohit. - : Underline Science Inc., 2021 BASE Show details 19 Finding a Balanced Degree of Automation for Summary Evaluation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bansal, Mohit; Zhang, Shiyue. - : Underline Science Inc., 2021 BASE Show details 20 Analyzing the Limits of Self-Supervision in Handling Bias in Language ... Bauer, Lisa; Gopalakrishnan, Karthik; Gella, Spandana; Liu, Yang; Bansal, Mohit; Hakkani-Tur, Dilek. - : arXiv, 2021 Abstract: Prompting inputs with natural language task descriptions has emerged as a popular mechanism to elicit reasonably accurate outputs from large-scale generative language models with little to no in-context supervision. This also helps gain insight into how well language models capture the semantics of a wide range of downstream tasks purely from self-supervised pre-training on massive corpora of unlabeled text. Such models have naturally also been exposed to a lot of undesirable content like racist and sexist language and there is limited work on awareness of models along these dimensions. In this paper, we define and comprehensively evaluate how well such language models capture the semantics of four tasks for bias: diagnosis, identification, extraction and rephrasing. We define three broad classes of task descriptions for these tasks: statement, question, and completion, with numerous lexical variants within each class. We study the efficacy of prompting for each task using these classes and the null task ... : 16 pages, 1 figure ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2112.08637 https://arxiv.org/abs/2112.08637 BASE Hide details Page: 1 2

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