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One of the key strengths of Large Language Models (LLMs) is their ability to interact with humans by generating appropriate responses to given instructions. This ability, known as instruction-following capability, has established a…

人工智能 · 计算机科学 2025-01-24 Hyeonseok Moon , Jaehyung Seo , Seungyoon Lee , Chanjun Park , Heuiseok Lim

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

综合经济学 · 经济学 2024-06-25 Magnus Lundgren

This work investigates the capabilities of large language models (LLMs) in detecting and understanding human emotions through text. Drawing upon emotion models from psychology, we adopt an interdisciplinary perspective that integrates…

计算与语言 · 计算机科学 2025-03-10 Florian Lecourt , Madalina Croitoru , Konstantin Todorov

Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility allows them to simulate complex human-like interactions and…

计算与语言 · 计算机科学 2024-03-15 Aobo Kong , Shiwan Zhao , Hao Chen , Qicheng Li , Yong Qin , Ruiqi Sun , Xin Zhou , Enzhi Wang , Xiaohang Dong

Large Language Models (LLMs) have demonstrated promise in medical knowledge assessments, yet their practical utility in real-world clinical decision-making remains underexplored. In this study, we evaluated the performance of three…

计算与语言 · 计算机科学 2025-12-30 Mengdi Chai , Ali R. Zomorrodi

Large Language Models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately infer the psychological dispositions of social media users and…

计算与语言 · 计算机科学 2024-06-06 Heinrich Peters , Sandra Matz

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…

Decoding speaker's intent is a crucial part of spoken language understanding (SLU). The presence of noise or errors in the text transcriptions, in real life scenarios make the task more challenging. In this paper, we address the spoken…

计算与语言 · 计算机科学 2019-10-24 Prashanth Gurunath Shivakumar , Mu Yang , Panayiotis Georgiou

Scene understanding is critical for various downstream tasks in autonomous driving, including facilitating driver-agent communication and enhancing human-centered explainability of autonomous vehicle (AV) decisions. This paper evaluates the…

计算机视觉与模式识别 · 计算机科学 2025-06-17 Mohammed Elhenawy , Shadi Jaradat , Taqwa I. Alhadidi , Huthaifa I. Ashqar , Ahmed Jaber , Andry Rakotonirainy , Mohammad Abu Tami

Large language models (LLMs) demonstrate extraordinary abilities in a wide range of natural language processing (NLP) tasks. In this paper, we show that, beyond text understanding capability, LLMs are capable of processing text layouts that…

计算与语言 · 计算机科学 2024-08-29 Weiming Li , Manni Duan , Dong An , Yan Shao

The success of ChatGPT has recently attracted numerous efforts to replicate it, with instruction-tuning strategies being a key factor in achieving remarkable results. Instruction-tuning not only significantly enhances the model's…

计算与语言 · 计算机科学 2023-03-28 Yunjie Ji , Yong Deng , Yan Gong , Yiping Peng , Qiang Niu , Lei Zhang , Baochang Ma , Xiangang Li

The transformative influence of Large Language Models (LLMs) is profoundly reshaping the Artificial Intelligence (AI) technology domain. Notably, ChatGPT distinguishes itself within these models, demonstrating remarkable performance in…

软件工程 · 计算机科学 2024-05-28 Sayed Erfan Arefin , Tasnia Ashrafi Heya , Hasan Al-Qudah , Ynes Ineza , Abdul Serwadda

Recently large language models (LLMs) like ChatGPT have shown impressive performance on many natural language processing tasks with zero-shot. In this paper, we investigate the effectiveness of zero-shot LLMs in the financial domain. We…

计算与语言 · 计算机科学 2023-05-29 Agam Shah , Sudheer Chava

Large Language Models (LLMs) offer numerous applications, the full extent of which is not yet understood. This paper investigates if LLMs can be applied for editing structured and semi-structured documents with minimal effort. Using a…

机器学习 · 计算机科学 2024-09-16 Irene Weber

Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning. These models, solely trained on the language modeling objective, have been shown to exhibit outstanding few-shot…

计算与语言 · 计算机科学 2021-08-31 Jordi Armengol-Estapé , Ona de Gibert Bonet , Maite Melero

Recent advances in Speech Large Language Models (Speech LLMs) have led to great progress in speech understanding tasks such as Automatic Speech Recognition (ASR) and Speech Emotion Recognition (SER). However, whether these models can…

声音 · 计算机科学 2025-12-01 Chen Li , Peiji Yang , Yicheng Zhong , Jianxing Yu , Zhisheng Wang , Zihao Gou , Wenqing Chen , Jian Yin

This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large language model, on inter-sentential relations such as temporal relations, causal relations, and discourse relations. Given ChatGPT's promising…

计算与语言 · 计算机科学 2024-01-29 Chunkit Chan , Jiayang Cheng , Weiqi Wang , Yuxin Jiang , Tianqing Fang , Xin Liu , Yangqiu Song

Affect recognition, encompassing emotions, moods, and feelings, plays a pivotal role in human communication. In the realm of conversational artificial intelligence, the ability to discern and respond to human affective cues is a critical…

计算与语言 · 计算机科学 2024-08-06 Shutong Feng , Guangzhi Sun , Nurul Lubis , Wen Wu , Chao Zhang , Milica Gašić

Large Language Models (LLMs) and chatbots show significant promise in streamlining the legal intake process. This advancement can greatly reduce the workload and costs for legal aid organizations, improving availability while making legal…

计算机与社会 · 计算机科学 2023-11-23 Nick Goodson , Rongfei Lu

Automatic pathological speech detection approaches have shown promising results, gaining attention as potential diagnostic tools alongside costly traditional methods. While these approaches can achieve high accuracy, their lack of…

音频与语音处理 · 电气工程与系统科学 2025-04-01 Mahdi Amiri , Hatef Otroshi Shahreza , Ina Kodrasi