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相关论文: Will Affective Computing Emerge from Foundation Mo…

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Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot -- i.e., without adaptation on downstream data. Recently, the debut of…

计算与语言 · 计算机科学 2023-11-21 Chengwei Qin , Aston Zhang , Zhuosheng Zhang , Jiaao Chen , Michihiro Yasunaga , Diyi Yang

The emotions we experience involve complex processes; besides physiological aspects, research in psychology has studied cognitive appraisals where people assess their situations subjectively, according to their own values (Scherer, 2005).…

计算与语言 · 计算机科学 2023-10-24 Hongli Zhan , Desmond C. Ong , Junyi Jessy Li

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

Generative AI systems such as ChatGPT and Claude are built upon language models that are typically evaluated for accuracy on curated benchmark datasets. Such evaluation paradigms measure predictive and reasoning capabilities of language…

人机交互 · 计算机科学 2025-03-03 Shreya Rajagopal , Jae Ho Sohn , Hari Subramonyam , Shiwali Mohan

Pretrained Language Models (PLMs) harbor inherent social biases that can result in harmful real-world implications. Such social biases are measured through the probability values that PLMs output for different social groups and attributes…

计算与语言 · 计算机科学 2023-12-07 Rafal Kocielnik , Shrimai Prabhumoye , Vivian Zhang , Roy Jiang , R. Michael Alvarez , Anima Anandkumar

This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness. We adopt the prompts advised by ChatGPT to trigger its translation ability…

计算与语言 · 计算机科学 2023-11-03 Wenxiang Jiao , Wenxuan Wang , Jen-tse Huang , Xing Wang , Shuming Shi , Zhaopeng Tu

Context: The advent of Large Language Model-driven tools like ChatGPT offers software engineers an interactive alternative to community question-answering (CQA) platforms like Stack Overflow. While Stack Overflow provides benefits from the…

软件工程 · 计算机科学 2024-10-01 Mohammed Mehedi Hasan , Mahady Hasan , Mamun Bin Ibne Reaz , Jannat Un Nayeem Iqra

We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology. In…

Large Language Models (LLM) are increasingly integrated into everyday interactions, serving not only as information assistants but also as emotional companions. Even in the absence of explicit toxicity, repeated emotional reinforcement or…

计算与语言 · 计算机科学 2026-01-23 Jihyung Park , Saleh Afroogh , David Atkinson , Junfeng Jiao

AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to generate business value, including explanation of process…

计算与语言 · 计算机科学 2024-01-19 Nataliia Klievtsova , Janik-Vasily Benzin , Timotheus Kampik , Juergen Mangler , Stefanie Rinderle-Ma

Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emotion into tractable computational models. To address this, we…

人工智能 · 计算机科学 2020-08-03 Desmond C. Ong , Harold Soh , Jamil Zaki , Noah D. Goodman

ChatGPT has demonstrated exceptional proficiency in natural language conversation, e.g., it can answer a wide range of questions while no previous large language models can. Thus, we would like to push its limit and explore its ability to…

计算与语言 · 计算机科学 2023-02-07 Ruibo Tu , Chao Ma , Cheng Zhang

Affective computing seeks to support the holistic development of artificial intelligence by enabling machines to engage with human emotion. Recent foundation models, particularly large language models (LLMs), have been trained and evaluated…

计算与语言 · 计算机科学 2026-03-16 Sree Bhattacharyya , Evgenii Kuriabov , Lucas Craig , Tharun Dilliraj , Reginald B. Adams, , Jia Li , James Z. Wang

In this paper, we investigate the emotion recognition ability of the pre-training language model, namely BERT. By the nature of the framework of BERT, a two-sentence structure, we adapt BERT to continues dialogue emotion prediction tasks,…

计算与语言 · 计算机科学 2019-08-20 Yen-Hao Huang , Ssu-Rui Lee , Mau-Yun Ma , Yi-Hsin Chen , Ya-Wen Yu , Yi-Shin Chen

This paper proposes a pipeline for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available dataset. We carry out an extensive technical evaluation of ChatGPT using Big-Vul covering five different common software…

软件工程 · 计算机科学 2024-04-08 Xin Yin

Large Language Models (LLMs) especially ChatGPT have produced impressive results in various areas, but their potential human-like psychology is still largely unexplored. Existing works study the virtual personalities of LLMs but rarely…

计算与语言 · 计算机科学 2023-10-16 Haocong Rao , Cyril Leung , Chunyan Miao

The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing popularity, with more than 600 million users today. The…

其他计算机科学 · 计算机科学 2023-08-15 Ioannis D. Apostolopoulos , Mpesi Tzani , Sokratis I. Aznaouridis

Mental health challenges pose considerable global burdens on individuals and communities. Recent data indicates that more than 20% of adults may encounter at least one mental disorder in their lifetime. On the one hand, the advancements in…

计算与语言 · 计算机科学 2024-02-05 Mihael Arcan , David-Paul Niland , Fionn Delahunty

The rapid development of the Internet has profoundly changed human life. Humans are increasingly expressing themselves and interacting with others on social media platforms. However, although artificial intelligence technology has been…

计算与语言 · 计算机科学 2024-07-11 Haochen Xue , Chong Zhang , Chengzhi Liu , Fangyu Wu , Xiaobo Jin