Mohit Iyyer
12 papers in the PaperMetrix corpus
Papers by this author
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Exploring and Predicting Transferability across NLP Tasks
2020
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.
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DEMETR: Diagnosing Evaluation Metrics for Translation
2022 · arXiv (Cornell University)
While machine translation evaluation metrics based on string overlap (e.g., BLEU) have their limitations, their computations are transparent: the BLEU score assigned to a particular candidate translation can be traced back to the presence or …
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ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
2022 · arXiv (Cornell University)
Large-scale, high-quality corpora are critical for advancing research in coreference resolution. However, existing datasets vary in their definition of coreferences and have been collected via complex and lengthy guidelines that are curated for linguistic experts. …
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Modeling Exemplification in Long-form Question Answering via Retrieval
2022 · arXiv (Cornell University)
Exemplification is a process by which writers explain or clarify a concept by providing an example. While common in all forms of writing, exemplification is particularly useful in the task of long-form question answering (LFQA), …
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Does quantization affect models' performance on long-context tasks?
2025 · arXiv (Cornell University)
Large language models (LLMs) now support context windows exceeding 128K tokens, but this comes with significant memory requirements and high inference latency. Quantization can mitigate these costs, but may degrade performance. In this work, we …
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Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
2015 · arXiv (Cornell University)
Most tasks in natural language processing can be cast into question answering (QA) problems over language input. We introduce the dynamic memory network (DMN), a neural network architecture which processes input sequences and questions, forms …
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Deep Unordered Composition Rivals Syntactic Methods for Text Classification
2015
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, Hal Daumé III. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). …
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Search-based Neural Structured Learning for Sequential Question Answering
2017
Recent work in semantic parsing for question answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between two humans. In an effort to explore …
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Deep Contextualized Word Representations
2018
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume …
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Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
2018
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.
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QuAC: Question Answering in Context
2018
We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1) a student who poses a sequence of freeform …
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FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
2023
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.