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2020 – today
- 2024
[i6]Polina Tsvilodub, Hening Wang, Sharon Grosch, Michael Franke:
Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods. CoRR abs/2403.00998 (2024)- [i5]Polina Tsvilodub, Paul Marty, Sonia Ramotowska, Jacopo Romoli, Michael Franke:
Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions. CoRR abs/2405.05776 (2024) - [i4]Michael Franke, Polina Tsvilodub, Fausto Carcassi:
Bayesian Statistical Modeling with Predictors from LLMs. CoRR abs/2406.09012 (2024) - [i3]Polina Tsvilodub, Michael Franke, Fausto Carcassi:
Cognitive Modeling with Scaffolded LLMs: A Case Study of Referential Expression Generation. CoRR abs/2407.03805 (2024) - 2023
- [c4]Polina Tsvilodub, Michael Franke:
Evaluating pragmatic abilities of image captioners on A3DS. ACL (2) 2023: 1277-1285 - [c3]Polina Tsvilodub, Michael Franke, Robert D. Hawkins, Noah D. Goodman:
Overinformative Question Answering by Humans and Machines. CogSci 2023 - [i2]Polina Tsvilodub, Michael Franke, Robert D. Hawkins, Noah D. Goodman:
Overinformative Question Answering by Humans and Machines. CoRR abs/2305.07151 (2023) - [i1]Polina Tsvilodub, Michael Franke:
Evaluating Pragmatic Abilities of Image Captioners on A3DS. CoRR abs/2305.12777 (2023) - 2021
- [c2]Annika Heuser, Polina Tsvilodub:
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract). AAAI 2021: 15799-15800 - 2020
- [c1]Michael Henry Tessler, Polina Tsvilodub, Jesse Snedeker, Roger Levy:
Informational goals, sentence structure, and comparison class inference. CogSci 2020
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