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相关论文: Benchmarking ChatGPT on Algorithmic Reasoning

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Logical rules are essential for uncovering the logical connections between relations, which could improve reasoning performance and provide interpretable results on knowledge graphs (KGs). Although there have been many efforts to mine…

人工智能 · 计算机科学 2024-01-23 Linhao Luo , Jiaxin Ju , Bo Xiong , Yuan-Fang Li , Gholamreza Haffari , Shirui Pan

Developing high-performing dialogue systems benefits from the automatic identification of undesirable behaviors in system responses. However, detecting such behaviors remains challenging, as it draws on a breadth of general knowledge and…

计算与语言 · 计算机科学 2023-09-14 Sarah E. Finch , Ellie S. Paek , Jinho D. Choi

Causal reasoning capabilities are essential for large language models (LLMs) in a wide range of applications, such as education and healthcare. But there is still a lack of benchmarks for a better understanding of such capabilities. Current…

计算与语言 · 计算机科学 2024-12-25 Ruibo Tu , Hedvig Kjellström , Gustav Eje Henter , Cheng Zhang

The progress of Large Language Models (LLMs) like ChatGPT raises the question of how they can be integrated into education. One hope is that they can support mathematics learning, including word-problem solving. Since LLMs can handle…

计算与语言 · 计算机科学 2025-08-12 Anselm R. Strohmaier , Wim Van Dooren , Kathrin Seßler , Brian Greer , Lieven Verschaffel

Large language models (LLMs) such as ChatGPT and Google Bard have garnered significant attention in the academic community. Previous research has evaluated these LLMs for various applications such as generating programming exercises and…

人机交互 · 计算机科学 2024-01-08 Ishika Joshi , Ritvik Budhiraja , Harshal D Akolekar , Jagat Sesh Challa , Dhruv Kumar

Large language models have emerged abilities including chain-of-thought to answer math word problems step by step. Solving math word problems not only requires abilities to disassemble problems via chain-of-thought but also needs to…

计算与语言 · 计算机科学 2023-04-06 Zheng Yuan , Hongyi Yuan , Chuanqi Tan , Wei Wang , Songfang Huang

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

Transformer-based language models, including ChatGPT, have demonstrated exceptional performance in various natural language generation tasks. However, there has been limited research evaluating ChatGPT's keyphrase generation ability, which…

计算与语言 · 计算机科学 2023-06-30 Roberto Martínez-Cruz , Alvaro J. López-López , José Portela

News recommendation systems (RS) play a pivotal role in the current digital age, shaping how individuals access and engage with information. The fusion of natural language processing (NLP) and RS, spurred by the rise of large language…

信息检索 · 计算机科学 2023-11-13 Xinyi Li , Yongfeng Zhang , Edward C Malthouse

The correct adoption of cryptography APIs is challenging for mainstream developers, often resulting in widespread API misuse. Meanwhile, cryptography misuse detectors have demonstrated inconsistent performance and remain largely…

密码学与安全 · 计算机科学 2024-09-11 Ehsan Firouzi , Mohammad Ghafari , Mike Ebrahimi

As a natural language assistant, ChatGPT is capable of performing various tasks, including but not limited to article generation, code completion, and data analysis. Furthermore, ChatGPT has consistently demonstrated a remarkable level of…

计算与语言 · 计算机科学 2023-03-15 Yunjie Ji , Yan Gong , Yiping Peng , Chao Ni , Peiyan Sun , Dongyu Pan , Baochang Ma , Xiangang Li

Since the release of LLM-based tools such as GitHub Copilot and ChatGPT the media and popular scientific literature, but also journals such as the Communications of the ACM, have been flooded with opinions how these tools will change…

软件工程 · 计算机科学 2023-10-11 Johan Jeuring , Roel Groot , Hieke Keuning

Test-time scaling has significantly improved large language model performance, enabling deeper reasoning to solve complex problems. However, this increased reasoning capability also leads to excessive token generation and unnecessary…

This tutorial addresses the challenge of incorporating large language models (LLMs), such as ChatGPT, in a data analytics class. It details several new in-class and out-of-class teaching techniques enabled by AI. For example, instructors…

计算机与社会 · 计算机科学 2024-11-13 Robert L. Bray

Generating unit tests is a crucial task in software development, demanding substantial time and effort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script generation. This research…

软件工程 · 计算机科学 2024-02-14 Shreya Bhatia , Tarushi Gandhi , Dhruv Kumar , Pankaj Jalote

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…

Recommendation algorithms have been pivotal in handling the overwhelming volume of online content. However, these algorithms seldom consider direct user input, resulting in superficial interaction between them. Efforts have been made to…

信息检索 · 计算机科学 2024-01-09 Kyle Dylan Spurlock , Cagla Acun , Esin Saka , Olfa Nasraoui

Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises, appointments and promotion. It is therefore important to investigate whether Large Language Models (LLMs)…

数字图书馆 · 计算机科学 2024-12-02 Mike Thelwall

Large Language Models (LLMs) such as ChatGPT have transformed how we interact with and understand the capabilities of Artificial Intelligence (AI). However, the intersection of LLMs with the burgeoning field of Quantum Machine Learning…

量子物理 · 物理学 2024-03-15 Yidong Liao , Chris Ferrie

The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that…

计算与语言 · 计算机科学 2023-01-19 Biyang Guo , Xin Zhang , Ziyuan Wang , Minqi Jiang , Jinran Nie , Yuxuan Ding , Jianwei Yue , Yupeng Wu