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Emotional intelligence significantly impacts our daily behaviors and interactions. Although Large Language Models (LLMs) are increasingly viewed as a stride toward artificial general intelligence, exhibiting impressive performance in…

计算与语言 · 计算机科学 2023-11-14 Cheng Li , Jindong Wang , Yixuan Zhang , Kaijie Zhu , Wenxin Hou , Jianxun Lian , Fang Luo , Qiang Yang , Xing Xie

With the advent of large language models (LLMs), in both the open source and proprietary domains, attention is turning to how to exploit such artificial intelligence (AI) systems in assisting complex scientific tasks, such as material…

人机交互 · 计算机科学 2024-01-26 Yongtao Liu , Marti Checa , Rama K. Vasudevan

Artificial intelligence (AI), particularly in the form of large language models (LLMs) or chatbots, has become increasingly integrated into our daily lives. In the past five years, several LLMs have been introduced, including ChatGPT by…

人机交互 · 计算机科学 2026-05-06 Mouhacine Benosman

The advent of large language models (LLMs), such as GPT, Gemini, and DeepSeek, has significantly advanced natural language processing, giving rise to sophisticated chatbots capable of diverse language-related tasks. The transition from…

Large Language Models (LLMs) have revolutionized code generation, evolving from static tools into dynamic conversational interfaces that facilitate complex, multi-turn collaborative programming. While LLMs exhibit remarkable proficiency in…

软件工程 · 计算机科学 2026-03-31 Binquan Zhang , Li Zhang , Lin Shi , Song Wang , Yuwei Qian , Linhui Zhao , Fang Liu , An Fu , Yida Ye

We introduce Language Feedback Models (LFMs) that identify desirable behaviour - actions that help achieve tasks specified in the instruction - for imitation learning in instruction following. To train LFMs, we obtain feedback from Large…

机器学习 · 计算机科学 2024-10-11 Victor Zhong , Dipendra Misra , Xingdi Yuan , Marc-Alexandre Côté

Large language models (LLMs) are capable of many natural language tasks, yet they are far from perfect. In health applications, grounding and interpreting domain-specific and non-linguistic data is crucial. This paper investigates the…

计算与语言 · 计算机科学 2024-04-30 Yubin Kim , Xuhai Xu , Daniel McDuff , Cynthia Breazeal , Hae Won Park

The advent of Large Language Models (LLM) has revolutionized the efficiency and speed with which tasks are completed, marking a significant leap in productivity through technological innovation. As these chatbots tackle increasingly complex…

软件工程 · 计算机科学 2024-05-24 Luc Bryan Heitz , Joun Chamas , Christopher Scherb

Large Language Models (LLMs) offer a promising approach to enhancing Explainable AI (XAI) by transforming complex machine learning outputs into easy-to-understand narratives, making model predictions more accessible to users, and helping…

人工智能 · 计算机科学 2025-04-02 Ahsan Bilal , David Ebert , Beiyu Lin

Linking information across sources is fundamental to a variety of analyses in social science, business, and government. While large language models (LLMs) offer enormous promise for improving record linkage in noisy datasets, in many…

计算与语言 · 计算机科学 2024-06-26 Abhishek Arora , Melissa Dell

Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary…

计算机与社会 · 计算机科学 2026-04-07 Zhicheng Lin

Recent advances in large language models (LLMs) have opened new avenues for accelerating scientific research. While models are increasingly capable of assisting with routine tasks, their ability to contribute to novel, expert-level…

As large language models (LLMs) are continuously being developed, their evaluation becomes increasingly important yet challenging. This work proposes Chain-of-Thought Hub, an open-source evaluation suite on the multi-step reasoning…

计算与语言 · 计算机科学 2023-05-30 Yao Fu , Litu Ou , Mingyu Chen , Yuhao Wan , Hao Peng , Tushar Khot

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…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

Large Language Models (LLMs) have risen significantly in popularity and are increasingly being adopted across multiple applications. These LLMs are heavily aligned to resist engaging in illegal or unethical topics as a means to avoid…

密码学与安全 · 计算机科学 2025-02-27 Mark Russinovich , Ahmed Salem , Ronen Eldan

Large language models (LLMs) are increasingly explored as substitutes for human participants in cognitive tasks, but their ability to simulate human behavioral variability remains unclear. This study examines whether LLMs can approximate…

计算与语言 · 计算机科学 2026-02-27 Mengyang Qiu , Zoe Brisebois , Siena Sun

This paper investigates the potential of AI models, particularly large language models (LLMs), to support knowledge exploration and augment human creativity during ideation. We present "Latent Lab" an interactive tool for discovering…

人工智能 · 计算机科学 2023-11-23 Kevin Dunnell , Trudy Painter , Andrew Stoddard , Andy Lippman

Recent research has highlighted the potential of large language models (LLMs) to improve their problem-solving capabilities with the aid of suitable external tools. In our work, we further advance this concept by introducing a closed-loop…

机器学习 · 计算机科学 2024-03-12 Tianle Cai , Xuezhi Wang , Tengyu Ma , Xinyun Chen , Denny Zhou

Large language model (LLM) simulations of human behavior have the potential to revolutionize the social and behavioral sciences, if and only if they faithfully reflect real human behaviors. Current evaluations of simulation fidelity are…

计算与语言 · 计算机科学 2026-04-14 Tiancheng Hu , Joachim Baumann , Lorenzo Lupo , Nigel Collier , Dirk Hovy , Paul Röttger

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

人机交互 · 计算机科学 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella