Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Lai, Yuxuan"'
Abstract. Automatically generating scientific literature surveys is a valuable task that can significantly enhance research efficiency. However, the diverse and complex nature of information within a literature survey poses substantial challenges for
Externí odkaz:
http://arxiv.org/abs/2408.07884
Conditional question answering (CQA) is an important task that aims to find probable answers and identify conditions that need to be satisfied to support the answer. Existing approaches struggle with CQA due to two main challenges: (1) precisely iden
Externí odkaz:
http://arxiv.org/abs/2408.05442
Autor:
Li, Zhen, Xu, Xiaohan, Shen, Tao, Xu, Can, Gu, Jia-Chen, Lai, Yuxuan, Tao, Chongyang, Ma, Shuai
In the rapidly evolving domain of Natural Language Generation (NLG) evaluation, introducing Large Language Models (LLMs) has opened new avenues for assessing generated content quality, e.g., coherence, creativity, and context relevance. This paper ai
Externí odkaz:
http://arxiv.org/abs/2401.07103
A picture is worth a thousand words, thus, it is crucial for conversational agents to understand, perceive, and effectively respond with pictures. However, we find that directly employing conventional image generation techniques is inadequate for con
Externí odkaz:
http://arxiv.org/abs/2309.15516
Coherence is a crucial aspect of evaluating text readability and can be assessed through two primary factors when evaluating an essay in a scoring scenario. The first factor is logical coherence, characterized by the appropriate use of discourse conn
Externí odkaz:
http://arxiv.org/abs/2308.02506
The multi-answer phenomenon, where a question may have multiple answers scattered in the document, can be well handled by humans but is challenging enough for machine reading comprehension (MRC) systems. Despite recent progress in multi-answer MRC, t
Externí odkaz:
http://arxiv.org/abs/2306.00435
Although many large-scale knowledge bases (KBs) claim to contain multilingual information, their support for many non-English languages is often incomplete. This incompleteness gives birth to the task of cross-lingual question answering over knowledg
Externí odkaz:
http://arxiv.org/abs/2302.13241
Open-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context. The open-ended nature of these tasks brings new challenges to the neural auto-regr
Externí odkaz:
http://arxiv.org/abs/2204.09453
Publikováno v:
In Applied Radiation and Isotopes August 2024 210
In this paper, we present a new verification style reading comprehension dataset named VGaokao from Chinese Language tests of Gaokao. Different from existing efforts, the new dataset is originally designed for native speakers' evaluation, thus requir
Externí odkaz:
http://arxiv.org/abs/2109.05149