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pro vyhledávání: '"Brassard, Ana"'
Evaluating the quality of free-text explanations is a multifaceted, subjective, and labor-intensive task. Large language models (LLMs) present an appealing alternative due to their potential for consistency, scalability, and cost-efficiency. In this
Externí odkaz:
http://arxiv.org/abs/2405.04818
Autor:
Li, Yunmeng, Suzuki, Jun, Morishita, Makoto, Abe, Kaori, Tokuhisa, Ryoko, Brassard, Ana, Inui, Kentaro
Publikováno v:
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, pages 88-95, November 2022, Online. Association for Computational Linguistics
In this paper, we describe the development of a communication support system that detects erroneous translations to facilitate crosslingual communications due to the limitations of current machine chat translation methods. We trained an error detecto
Externí odkaz:
http://arxiv.org/abs/2308.01044
Autor:
Aoki, Yoichi, Kudo, Keito, Kuribayashi, Tatsuki, Brassard, Ana, Yoshikawa, Masashi, Sakaguchi, Keisuke, Inui, Kentaro
Neural reasoning accuracy improves when generating intermediate reasoning steps. However, the source of this improvement is yet unclear. Here, we investigate and factorize the benefit of generating intermediate steps for symbolic reasoning. Specifica
Externí odkaz:
http://arxiv.org/abs/2302.08148
Autor:
Kudo, Keito, Aoki, Yoichi, Kuribayashi, Tatsuki, Brassard, Ana, Yoshikawa, Masashi, Sakaguchi, Keisuke, Inui, Kentaro
Compositionality is a pivotal property of symbolic reasoning. However, how well recent neural models capture compositionality remains underexplored in the symbolic reasoning tasks. This study empirically addresses this question by systematically exam
Externí odkaz:
http://arxiv.org/abs/2302.07866
Language models (LMs) have been used in cognitive modeling as well as engineering studies -- they compute information-theoretic complexity metrics that simulate humans' cognitive load during reading. This study highlights a limitation of modern neura
Externí odkaz:
http://arxiv.org/abs/2205.11463
We present Semi-Structured Explanations for COPA (COPA-SSE), a new crowdsourced dataset of 9,747 semi-structured, English common sense explanations for Choice of Plausible Alternatives (COPA) questions. The explanations are formatted as a set of trip
Externí odkaz:
http://arxiv.org/abs/2201.06777
Improving model generalization on held-out data is one of the core objectives in commonsense reasoning. Recent work has shown that models trained on the dataset with superficial cues tend to perform well on the easy test set with superficial cues but
Externí odkaz:
http://arxiv.org/abs/2104.11514
Autor:
Ito, Takumi, Kuribayashi, Tatsuki, Kobayashi, Hayato, Brassard, Ana, Hagiwara, Masato, Suzuki, Jun, Inui, Kentaro
The writing process consists of several stages such as drafting, revising, editing, and proofreading. Studies on writing assistance, such as grammatical error correction (GEC), have mainly focused on sentence editing and proofreading, where surface-l
Externí odkaz:
http://arxiv.org/abs/1910.09180
Autor:
Brassard, Ana
U ovom radu odrađen je zadatak klasificiranja korisnika mrežnog foruma “Reddit” koji sudjeluju u debatama religijske tematike u podforumu “/r/DebateReligion” po njihovom religijskom opredjeljenju. Podaci su prvo obrađeni da bi se kreirao p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4131::288479ae30d6e39b588f819d907ef818
https://repozitorij.fer.unizg.hr/islandora/object/fer:2626/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:2626/datastream/PDF
Autor:
Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Brassard, Ana, Masato Hagiwara, Jun Suzuki, Kentaro Inui
Publikováno v:
Journal of Cognitive Science; 2020, Vol. 21 Issue 1, p103-139, 37p