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pro vyhledávání: '"Frassinelli, Diego"'
The visual representation of a concept varies significantly depending on its meaning and the context where it occurs; this poses multiple challenges both for vision and multimodal models. Our study focuses on concreteness, a well-researched lexical-s
Externí odkaz:
http://arxiv.org/abs/2410.11657
Large vision-language models frequently struggle to accurately predict responses provided by multiple human annotators, particularly when those responses exhibit human uncertainty. In this study, we focus on the Visual Question Answering (VQA) task,
Externí odkaz:
http://arxiv.org/abs/2410.02773
One of the major aspects contributing to the striking performance of large language models (LLMs) is the vast amount of factual knowledge accumulated during pre-training. Yet, many LLMs suffer from self-inconsistency, which raises doubts about their
Externí odkaz:
http://arxiv.org/abs/2407.17125
Autor:
Jang, Hyewon, Frassinelli, Diego
We tested the robustness of sarcasm detection models by examining their behavior when fine-tuned on four sarcasm datasets containing varying characteristics of sarcasm: label source (authors vs. third-party), domain (social media/online vs. offline c
Externí odkaz:
http://arxiv.org/abs/2404.06357
Humans tend to strongly agree on ratings on a scale for extreme cases (e.g., a CAT is judged as very concrete), but judgements on mid-scale words exhibit more disagreement. Yet, collected rating norms are heavily exploited across disciplines. Our stu
Externí odkaz:
http://arxiv.org/abs/2311.04563
While neural networks with attention mechanisms have achieved superior performance on many natural language processing tasks, it remains unclear to which extent learned attention resembles human visual attention. In this paper, we propose a new metho
Externí odkaz:
http://arxiv.org/abs/2010.06396
Autor:
Frassinelli, Diego
The aim of this thesis is to study the effect that linguistic context exerts on the activation and processing of word meaning over time. Previous studies have demonstrated that a biasing context makes it possible to predict upcoming words. The contex
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666054
Akademický článek
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Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 45, iss 45
We conducted two experiments to investigate what triggers sarcasm between close friends and whether the factors prompting sarcastic comments in production are also shared with an external observer. In Experiment 1, participants freely reacted to diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::2fd4adb09787b580793679215c36fbb5
https://escholarship.org/uc/item/1cw1m8bm
https://escholarship.org/uc/item/1cw1m8bm