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Large Language Model (LLM) Agents have recently garnered increasing interest yet they are limited in their ability to learn from trial and error, a key element of intelligent behavior. In this work, we argue that the capacity to learn new…

Artificial Intelligence · Computer Science 2024-08-09 Haiteng Zhao , Chang Ma , Guoyin Wang , Jing Su , Lingpeng Kong , Jingjing Xu , Zhi-Hong Deng , Hongxia Yang

Artificial intelligence (AI) tools such as large language models (LLMs) are already altering student learning. Unlike previous technologies, LLMs can independently solve problems regardless of student understanding, yet are not always…

Theoretical Economics · Economics 2025-09-04 Eric Gao

Large Language Models (LLMs) like GPT and LLaMA are revolutionizing the AI industry with their sophisticated capabilities. Training these models requires vast GPU clusters and significant computing time, posing major challenges in terms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-30 Jiangfei Duan , Shuo Zhang , Zerui Wang , Lijuan Jiang , Wenwen Qu , Qinghao Hu , Guoteng Wang , Qizhen Weng , Hang Yan , Xingcheng Zhang , Xipeng Qiu , Dahua Lin , Yonggang Wen , Xin Jin , Tianwei Zhang , Peng Sun

Strong Artificial Intelligence (Strong AI) or Artificial General Intelligence (AGI) with abstract reasoning ability is the goal of next-generation AI. Recent advancements in Large Language Models (LLMs), along with the emerging field of…

Computation and Language · Computer Science 2024-01-19 Yiqi Wang , Wentao Chen , Xiaotian Han , Xudong Lin , Haiteng Zhao , Yongfei Liu , Bohan Zhai , Jianbo Yuan , Quanzeng You , Hongxia Yang

Recent advances in Large Language Models (LLMs) have presented new opportunities for integrating Artificial General Intelligence (AGI) into biological research and education. This study evaluated the capabilities of leading LLMs, including…

Computation and Language · Computer Science 2023-11-15 Xinyu Gong , Jason Holmes , Yiwei Li , Zhengliang Liu , Qi Gan , Zihao Wu , Jianli Zhang , Yusong Zou , Yuxi Teng , Tian Jiang , Hongtu Zhu , Wei Liu , Tianming Liu , Yajun Yan

Large language models~(LLM) like ChatGPT have become indispensable to artificial general intelligence~(AGI), demonstrating excellent performance in various natural language processing tasks. In the real world, graph data is ubiquitous and…

Artificial Intelligence · Computer Science 2023-07-12 Jiayan Guo , Lun Du , Hengyu Liu , Mengyu Zhou , Xinyi He , Shi Han

Generative AI models garnered a large amount of public attention and speculation with the release of OpenAIs chatbot, ChatGPT. At least two opinion camps exist: one excited about possibilities these models offer for fundamental changes to…

Artificial Intelligence · Computer Science 2024-06-28 Ann Speed

The emergence of Large Language Models (LLMs) have fundamentally altered the way we interact with digital systems and have led to the pursuit of LLM powered AI agents to assist in daily workflows. LLMs, whilst powerful and capable of…

Computation and Language · Computer Science 2024-08-05 Prattyush Mangal , Carol Mak , Theo Kanakis , Timothy Donovan , Dave Braines , Edward Pyzer-Knapp

Memory is the process of encoding, storing, and retrieving information, allowing humans to retain experiences, knowledge, skills, and facts over time, and serving as the foundation for growth and effective interaction with the world. It…

Information Retrieval · Computer Science 2025-04-24 Yaxiong Wu , Sheng Liang , Chen Zhang , Yichao Wang , Yongyue Zhang , Huifeng Guo , Ruiming Tang , Yong Liu

Cognitive Reframing, a core element of Cognitive Behavioral Therapy (CBT), helps individuals reinterpret negative experiences by finding positive meaning. Recent advances in Large Language Models (LLMs) have demonstrated improved…

Computation and Language · Computer Science 2025-04-02 Yilin Qi , Dong Won Lee , Cynthia Breazeal , Hae Won Park

Current large language models (LLMs) have demonstrated emerging capabilities in social intelligence tasks, including implicature resolution and theory-of-mind reasoning, both of which require substantial pragmatic understanding. However,…

Computation and Language · Computer Science 2026-01-13 Kefan Yu , Qingcheng Zeng , Weihao Xuan , Wanxin Li , Jingyi Wu , Rob Voigt

Research into the external behaviors and internal mechanisms of large language models (LLMs) has shown promise in addressing complex tasks in the physical world. Studies suggest that powerful LLMs, like GPT-4, are beginning to exhibit…

Artificial Intelligence · Computer Science 2024-10-25 Miao Yu , Junyuan Mao , Guibin Zhang , Jingheng Ye , Junfeng Fang , Aoxiao Zhong , Yang Liu , Yuxuan Liang , Kun Wang , Qingsong Wen

Since the advent of ChatGPT, Large Language Models (LLMs) have excelled in various tasks but remain as black-box systems. Understanding the reasoning bottlenecks of LLMs has become a critical challenge, as these limitations are deeply tied…

Computation and Language · Computer Science 2024-12-24 Zifan Zheng , Yezhaohui Wang , Yuxin Huang , Shichao Song , Mingchuan Yang , Bo Tang , Feiyu Xiong , Zhiyu Li

Given the advancements in conversational artificial intelligence, the evaluation and assessment of Large Language Models (LLMs) play a crucial role in ensuring optimal performance across various conversational tasks. In this paper, we…

The rapid integration of large language models (LLMs) into everyday workflows has transformed how individuals perform cognitive tasks such as writing, programming, analysis, and multilingual communication. While prior research has focused…

Artificial Intelligence · Computer Science 2026-04-29 Hyunwoo Kim , Harin Yu , Hanau Yi

Creative thinking is a fundamental aspect of human cognition, and divergent thinking-the capacity to generate novel and varied ideas-is widely regarded as its core generative engine. Large language models (LLMs) have recently demonstrated…

Theory of Mind (ToM)-the ability to reason about the mental states of oneself and others-is a cornerstone of human social intelligence. As Large Language Models (LLMs) become increasingly integrated into daily life, understanding their…

Computation and Language · Computer Science 2025-08-26 Ruirui Chen , Weifeng Jiang , Chengwei Qin , Cheston Tan

Recently, large language models (LLMs) have outperformed human experts in predicting the results of neuroscience experiments (Luo et al., 2024). What is the basis for this performance? One possibility is that statistical patterns in that…

Neurons and Cognition · Quantitative Biology 2024-07-03 Xiaoliang Luo , Guangzhi Sun , Bradley C. Love

We investigate whether large language models (LLMs) can successfully perform financial statement analysis in a way similar to a professional human analyst. We provide standardized and anonymous financial statements to GPT4 and instruct the…

Statistical Finance · Quantitative Finance 2025-02-24 Alex Kim , Maximilian Muhn , Valeri Nikolaev

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu