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20232026
most citedSentiment Analysis in the Era of Large Language Models: A Reality Check

56 citations · 84 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023★ 7 cited

SeaLLMs -- Large Language Models for Southeast Asia

Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li +14

Despite the remarkable achievements of large language models (LLMs) in various tasks, there remains a linguistic bias that favors high-resource languages, such as English, often at…

cs.CL2023

SOUL: Towards Sentiment and Opinion Understanding of Language

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan +1

Sentiment analysis is a well-established natural language processing task, with sentiment polarity classification being one of its most popular and representative tasks. However, d…

cs.CL2023★ 16 cited

Multilingual Jailbreak Challenges in Large Language Models

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan +1

While large language models (LLMs) exhibit remarkable capabilities across a wide range of tasks, they pose potential safety concerns, such as the ``jailbreak'' problem, wherein mal…

cs.CL2023★ 56 cited

Sentiment Analysis in the Era of Large Language Models: A Reality Check

Wenxuan Zhang, Yue Deng, Bing Liu +2

Sentiment analysis (SA) has been a long-standing research area in natural language processing. It can offer rich insights into human sentiments and opinions and has thus seen consi…

cs.CL2023

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan +1

Cross-domain aspect-based sentiment analysis (ABSA) aims to perform various fine-grained sentiment analysis tasks on a target domain by transferring knowledge from a source domain.…