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Despite the success of ChatGPT, its performances on most NLP tasks are still well below the supervised baselines. In this work, we looked into the causes, and discovered that its subpar performance was caused by the following factors: (1)…

计算与语言 · 计算机科学 2023-10-10 Xiaofei Sun , Linfeng Dong , Xiaoya Li , Zhen Wan , Shuhe Wang , Tianwei Zhang , Jiwei Li , Fei Cheng , Lingjuan Lyu , Fei Wu , Guoyin Wang

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…

Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the…

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

Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in accessing and leveraging long-term memory, leading…

人工智能 · 计算机科学 2024-07-16 Zhongsheng Wang , Jiamou Liu , Qiming Bao , Hongfei Rong , Jingfeng Zhang

Causal reasoning ability is crucial for numerous NLP applications. Despite the impressive emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs in causal reasoning. In this paper, we conduct the first…

计算与语言 · 计算机科学 2023-10-13 Jinglong Gao , Xiao Ding , Bing Qin , Ting Liu

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

计算与语言 · 计算机科学 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

Large Language Models (LLMs) like ChatGPT have demonstrated amazing capabilities in comprehending user intents and generate reasonable and useful responses. Beside their ability to chat, their capabilities in various natural language…

计算与语言 · 计算机科学 2026-02-12 Liz Li , Wei Zhu

Large language models (LLMs) have made significant progress in NLP. However, their ability to memorize, represent, and leverage commonsense knowledge has been a well-known pain point. In this paper, we specifically focus on ChatGPT, a…

计算与语言 · 计算机科学 2024-04-22 Ning Bian , Xianpei Han , Le Sun , Hongyu Lin , Yaojie Lu , Ben He , Shanshan Jiang , Bin Dong

Recently, the emergence of ChatGPT has attracted wide attention from the computational linguistics community. Many prior studies have shown that ChatGPT achieves remarkable performance on various NLP tasks in terms of automatic evaluation…

计算与语言 · 计算机科学 2023-10-25 Jiaan Wang , Yunlong Liang , Fandong Meng , Zengkui Sun , Haoxiang Shi , Zhixu Li , Jinan Xu , Jianfeng Qu , Jie Zhou

Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

计算机视觉与模式识别 · 计算机科学 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

ChatGPT took the world by storm for its impressive abilities. Due to its release without documentation, scientists immediately attempted to identify its limits, mainly through its performance in natural language processing (NLP) tasks. This…

计算与语言 · 计算机科学 2023-11-14 Martino Pelucchi , Matias Valdenegro-Toro

Although large language models (LLMs) have achieved excellent performance in a variety of evaluation benchmarks, they still struggle in complex reasoning tasks which require specific knowledge and multi-hop reasoning. To improve the…

计算与语言 · 计算机科学 2023-11-07 Zhipeng Chen , Kun Zhou , Beichen Zhang , Zheng Gong , Wayne Xin Zhao , Ji-Rong Wen

ChatGPT shows remarkable capabilities for machine translation (MT). Several prior studies have shown that it achieves comparable results to commercial systems for high-resource languages, but lags behind in complex tasks, e.g., low-resource…

计算与语言 · 计算机科学 2023-10-23 Keqin Peng , Liang Ding , Qihuang Zhong , Li Shen , Xuebo Liu , Min Zhang , Yuanxin Ouyang , Dacheng Tao

The increasing use of large language models (LLMs) in natural language processing (NLP) tasks has sparked significant interest in evaluating their effectiveness across diverse applications. While models like ChatGPT and DeepSeek have shown…

计算与语言 · 计算机科学 2025-08-12 Wael Etaiwi , Bushra Alhijawi

Large Language Models (LLMs) have recently shown impressive abilities in handling various natural language-related tasks. Among different LLMs, current studies have assessed ChatGPT's superior performance across manifold tasks, especially…

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges initializing and refining prompts, and their cognitive…

人机交互 · 计算机科学 2024-02-12 Ben Wang , Jiqun Liu , Jamshed Karimnazarov , Nicolas Thompson

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

ChatGPT, as a recently launched large language model (LLM), has shown superior performance in various natural language processing (NLP) tasks. However, two major limitations hinder its potential applications: (1) the inflexibility of…

计算与语言 · 计算机科学 2023-09-20 Yucheng Shi , Hehuan Ma , Wenliang Zhong , Qiaoyu Tan , Gengchen Mai , Xiang Li , Tianming Liu , Junzhou Huang

Large Language Models (LLMs) have achieved remarkable success recently, displaying exceptional capabilities in creating understandable and organized text. These LLMs have been utilized in diverse fields, such as clinical research, where…

统计金融 · 定量金融 2025-01-17 Shuoling Liu , Gaoguo Jia , Yuhang Jiang , Liyuan Chen , Qiang Yang
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