Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Duan, Xufeng"'
As synthetic data becomes increasingly prevalent in training language models, particularly through generated dialogue, concerns have emerged that these models may deviate from authentic human language patterns, potentially losing the richness and cre
Externí odkaz:
http://arxiv.org/abs/2409.15890
As large language models (LLMs) become advance in their linguistic capacity, understanding how they capture aspects of language competence remains a significant challenge. This study therefore employs psycholinguistic paradigms, which are well-suited
Externí odkaz:
http://arxiv.org/abs/2409.15827
We introduce a novel analysis that leverages linguistic minimal pairs to probe the internal linguistic representations of Large Language Models (LLMs). By measuring the similarity between LLM activation differences across minimal pairs, we quantify t
Externí odkaz:
http://arxiv.org/abs/2409.12435
Large language models (LLMs) have demonstrated exceptional performance across various linguistic tasks. However, it remains uncertain whether LLMs have developed human-like fine-grained grammatical intuition. This preregistered study (https://osf.io/
Externí odkaz:
http://arxiv.org/abs/2406.11116
There has been increasing interest in investigating the behaviours of large language models (LLMs) and LLM-powered chatbots by treating an LLM as a participant in a psychological experiment. We therefore developed an R package called "MacBehaviour" t
Externí odkaz:
http://arxiv.org/abs/2405.07495
Large language models (LLMs) such as ChatGPT and Vicuna have shown remarkable capacities in comprehending and producing language. However, their internal workings remain a black box, and it is unclear whether LLMs and chatbots can develop humanlike c
Externí odkaz:
http://arxiv.org/abs/2303.08014
Akademický článek
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A Turing test for ChatGPT focusing on its ability to compute pragmatic implicatures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::947ad1d440f8b877077ea6d560966184
This experiment tests whether ChatGPT's production of anaphoric expressions (e.g., he/she) is sensitive to verb types (stimulus-experiencer vs. experiencer-stimulus verbs), as humans have been shown to be (e.g., Fukumura & van Gompel, 2010).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa0b2b4d28d7181ed401bc875fa62062
This experiment tests whether ChatGPT is susceptible to structural priming and the lexical boost, as humans have been shown to be (e.g., Pickering & Branigan, 1998).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::018328987ba284249c3fb0afc04e98d4