Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Choi, Eunseong"'
Large language models (LLMs) have achieved significant performance gains using advanced prompting techniques over various tasks. However, the increasing length of prompts leads to high computational costs and often obscures crucial information. Promp
Externí odkaz:
http://arxiv.org/abs/2410.04139
In Open-domain Question Answering (ODQA), it is essential to discern relevant contexts as evidence and avoid spurious ones among retrieved results. The model architecture that uses concatenated multiple contexts in the decoding phase, i.e., Fusion-in
Externí odkaz:
http://arxiv.org/abs/2404.02581
Knowledge Tracing (KT) aims to track proficiency based on a question-solving history, allowing us to offer a streamlined curriculum. Recent studies actively utilize attention-based mechanisms to capture the correlation between questions and combine i
Externí odkaz:
http://arxiv.org/abs/2309.14796
Query reformulation is a key mechanism to alleviate the linguistic chasm of query in ad-hoc retrieval. Among various solutions, query reduction effectively removes extraneous terms and specifies concise user intent from long queries. However, it is c
Externí odkaz:
http://arxiv.org/abs/2305.12662
Sparse document representations have been widely used to retrieve relevant documents via exact lexical matching. Owing to the pre-computed inverted index, it supports fast ad-hoc search but incurs the vocabulary mismatch problem. Although recent neur
Externí odkaz:
http://arxiv.org/abs/2209.05917
Autor:
Choe, Gogwon, Choi, Eunseong, Yoo, Yiseul, Chung, Kyung Yoon, Lim, Hee-Dae, Kwon, Jaesub, Kwak, Jaeik, You, Sang-Hoon, Park, Jong-Il, Nam, Sang Cheol, Park, Kyu-Young, Kim, Yong-Tae
Publikováno v:
In Energy Storage Materials January 2025 74
Autor:
Choi, Minjin, Lee, Sunkyung, Choi, Eunseong, Park, Heesoo, Lee, Junhyuk, Lee, Dongwon, Lee, Jongwuk
Automated metaphor detection is a challenging task to identify metaphorical expressions of words in a sentence. To tackle this problem, we adopt pre-trained contextualized models, e.g., BERT and RoBERTa. To this end, we propose a novel metaphor detec
Externí odkaz:
http://arxiv.org/abs/2104.13615
Publikováno v:
ACS Appl. Energy Mater. 2021
Na-ion solid-state electrolytes (Na-SSE) exhibit high potential for electrical energy storage owing to their high energy densities and low manufacturing cost. However, their mechanical properties critical to maintain structural stability at the inter
Externí odkaz:
http://arxiv.org/abs/2104.10888
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