---
title: "Who cites Michael C. Frank"
description: "284 papers of the Elamur Research library cite the works of Michael C. Frank, found in their bibliographies; the most cited first."
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---
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# Who cites Michael C. Frank

347 citations of their works from 284 papers of our library (of the 140,884 whose bibliographies we read) · 40 with a page here, the most cited first · [← Michael C. Frank](https://md.research.elamur.ai/free/en/authors/michael-c-frank/)

1. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,695 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
2. [**GeDi: Generative Discriminator Guided Sequence Generation**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/)
3. [**Experience Grounds Language**Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.*2020 · 429 citations*](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)
4. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
5. [**Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding**Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/)
6. [**Investigating the distribution of some (but not all) implicatures using corpora and web-based methods**Judith Degen*2015 · 141 citations*](https://md.research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/)
7. [**A fine-grained comparison of pragmatic language understanding in humans and language models**Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/)
8. [**Unified Pragmatic Models for Generating and Following Instructions**Daniel Fried, Jacob Andreas, Dan Klein*2018 · 111 citations*](https://md.research.elamur.ai/free/en/papers/fried-2018-unified-pragmatic-models-generating-following/)
9. [**Pragmatically Informative Image Captioning with Character-Level Inference**Reuben Cohn-Gordon, Noah Goodman, Christopher Potts*2018 · 103 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2018-pragmatically-informative-image-captioning-character/)
10. [**Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2021 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/)
11. [**The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs**Laura Ruis, Akbir Khan, Stella Biderman, et al.*2022 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/)
12. [**Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2020 · 82 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-will-i-sound-like-me/)
13. [**Pragmatically Informative Text Generation**Sheng Shen, Daniel Fried, Jacob Andreas, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/shen-2019-pragmatically-informative-text-generation/)
14. [**Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle***Yang Trista Cao, Hal Daumé III*2021 · 71 citations*](https://md.research.elamur.ai/free/en/papers/cao-2021-gender-inclusive-coreference-resolution-analysis/)
15. [**Harnessing the linguistic signal to predict scalar inferences**Sebastian Schuster, Yuxing Chen, Judith Degen*2020 · 54 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/)
16. [**Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs**Adam Vogel, Christopher Potts, Dan Jurafsky*2013 · 45 citations*](https://md.research.elamur.ai/free/en/papers/vogel-2013-implicatures-nested-beliefs-approximate-decentralized/)
17. [**Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches**Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/)
18. [**GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning**Zilong Zheng, Shuwen Qiu, Lifeng Fan, et al.*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/)
19. [**An Incremental Iterated Response Model of Pragmatics**Reuben Cohn-Gordon, Noah Goodman, Christopher Potts*2019 · 35 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2019-incremental-iterated-response-model-pragmatics/)
20. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
21. [**Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories**Sina Zarrieß, David Schlangen*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zarriess-2019-know-what-you-don-t/)
22. [**Modeling Cross-Cultural Pragmatic Inference with Codenames Duet**Omar Shaikh, Caleb Ziems, William Held, et al.*2023 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shaikh-2023-modeling-cross-cultural-pragmatic-inference/)
23. [**Evaluating statistical language models as pragmatic reasoners**Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/lipkin-2023-evaluating-statistical-language-models-pragmatic/)
24. [**Maintaining Common Ground in Dynamic Environments**Takuma Udagawa, Akiko Aizawa*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/udagawa-2021-maintaining-common-ground-dynamic-environments/)
25. [**Towards Pragmatic Production Strategies for Natural Language Generation Tasks**Mario Giulianelli*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2022-pragmatic-production-strategies-natural-language/)
26. [**The Gricean Maxims in NLP — A Survey**Lea Krause, Piek T.J.M. Vossen*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/krause-2024-gricean-maxims-nlp-survey/)
27. [**Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models**Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/padovani-2025-child-directed-language-does-not/)
28. [**SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives**Rashid Nizamani, Sebastian Schuster, Vera Demberg*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/)
29. [**PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations**Peng Qi, Nina Du, Christopher Manning, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/qi-2023-pragmaticqa-dataset-pragmatic-question-answering/)
30. [**A practical introduction to the Rational Speech Act modeling framework**Gregory Scontras, Michael Henry Tessler, Michael Franke*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/scontras-2021-practical-introduction-rational-speech-act/)
31. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
32. [**Modelling the Usage of Discourse Connectives as Rational Speech Acts**Frances Yung, Kevin Duh, Taku Komura, et al.*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-usage-discourse-connectives-as/)
33. [**Tell Me Everything You Know: A Conversation Update System for the Rational Speech Acts Framework**Carolyn Jane Anderson*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2021-tell-me-everything-you-know/)
34. [**Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach**Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/le-2022-referring-expressions-rational-speech-act/)
35. [**Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development**Ko Yoshida, Daiki Shiono, Kai Sato, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2025-batch-wise-convergent-pre-training/)
36. [**Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data**Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/)
37. [**Child-directed speech facilitates production, not comprehension, in BabyLMs**Bastian Bunzeck, Sina Zarrieß*2026*](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/)
38. [**ChineseDevBench: A Chinese Developmental Benchmark for Language Development**Shaonan Wang, Yiwen Wu, Na Li, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/)
39. [**DIDECO: An Annotated Dataset for Intent Detection in Digital Communications**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/)
40. [**Do I know what I want to say? Modeling meaning uncertainty in RSA**Anzi Wang, Carolyn Jane Anderson, Grusha Prasad*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-do-i-know-what-i/)

244 more citing papers of our library have no page here yet.

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