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Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy. Here, we had these models generate empathic messages in response to posts describing common…

Computation and Language · Computer Science 2024-03-28 Yoon Kyung Lee , Jina Suh , Hongli Zhan , Junyi Jessy Li , Desmond C. Ong

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

Empathy is central to human connection, yet people often struggle to express it effectively. In blinded evaluations, large language models (LLMs) generate responses that are often judged more empathic than human-written ones. Yet when a…

Computation and Language · Computer Science 2026-03-17 Aakriti Kumar , Nalin Poungpeth , Diyi Yang , Bruce Lambert , Matthew Groh

Artificial intelligence systems increasingly generate text intended to provide social and emotional support. Understanding how users perceive empathic qualities in such content is therefore critical. We examined differences in perceived…

Computers and Society · Computer Science 2026-02-20 Jonas Festor , Ivo Snels , Bennett Kleinberg

Differentiating generated and human-written content is increasingly difficult. We examine how an incentive to convey humanness and task characteristics shape this human vs AI race across five studies. In Study 1-2 (n=530 and n=610) humans…

Computation and Language · Computer Science 2026-01-26 Bennett Kleinberg , Jari Zegers , Jonas Festor , Stefana Vida , Julian Präsent , Riccardo Loconte , Sanne Peereboom

Effective and safe human-machine collaboration requires the regulated and meaningful exchange of emotions between humans and artificial intelligence (AI). Current AI systems based on large language models (LLMs) can provide feedback that…

Computation and Language · Computer Science 2025-06-18 Xiuwen Wu , Hao Wang , Zhiang Yan , Xiaohan Tang , Pengfei Xu , Wai-Ting Siok , Ping Li , Jia-Hong Gao , Bingjiang Lyu , Lang Qin

This paper explores the advancements in making large language models (LLMs) more human-like. We focus on techniques that enhance natural language understanding, conversational coherence, and emotional intelligence in AI systems. The study…

Computation and Language · Computer Science 2026-02-03 Ethem Yağız Çalık , Talha Rüzgar Akkuş

Large Language Models (LLMs) have demonstrated remarkable performance across various information-seeking and reasoning tasks. These computational systems drive state-of-the-art dialogue systems, such as ChatGPT and Bard. They also carry…

Computation and Language · Computer Science 2023-10-13 Siyuan Brandon Loh , Aravind Sesagiri Raamkumar

With large language models (LLMs) becoming increasingly prevalent in daily life, so too has the tendency to attribute to them human-like minds and emotions, or anthropomorphize them. Here, we investigate dimensions people use to…

Large language models have become increasingly common, used by millions of people worldwide in both professional and personal contexts. As these models continue to advance, they are frequently serving as virtual assistants and companions.…

Computation and Language · Computer Science 2025-08-13 Victoria Williams , Benjamin Rosman

As large language models (LLMs) enter the mainstream, aligning them to foster constructive dialogue rather than exacerbate societal divisions is critical. Using an individualized and multicultural alignment dataset of over 7,500…

Human-Computer Interaction · Computer Science 2025-03-24 Yara Kyrychenko , Jon Roozenbeek , Brandon Davidson , Sander van der Linden , Ramit Debnath

This paper explores the potential of large language models (LLMs) as reliable analytical tools in linguistic research, focusing on the emergence of affective meanings in temporal expressions involving manner-of-motion verbs. While LLMs like…

Computation and Language · Computer Science 2025-07-15 Rosa Illan Castillo , Javier Valenzuela

Large language models (LLMs) excel at generating empathic responses in text-based conversations. But, how reliably do they judge the nuances of empathic communication? We investigate this question by comparing how experts, crowdworkers, and…

Computation and Language · Computer Science 2025-10-06 Aakriti Kumar , Nalin Poungpeth , Diyi Yang , Erina Farrell , Bruce Lambert , Matthew Groh

The advancing fluency of LLMs raises important questions about their ability to emulate complex human traits, including emotional expression and personality, across diverse linguistic and cultural contexts. This study investigates whether…

Computation and Language · Computer Science 2026-03-25 Nasser A Alsadhan

Polite speech poses a fundamental alignment challenge for large language models (LLMs). Humans deploy a rich repertoire of linguistic strategies to balance informational and social goals -- from positive approaches that build rapport…

Computation and Language · Computer Science 2025-10-31 Haoran Zhao , Robert D. Hawkins

With the emergence of large language models (LLMs), investigating if they can surpass humans in areas such as emotion recognition and empathetic responding has become a focal point of research. This paper presents a comprehensive study…

Computation and Language · Computer Science 2024-06-10 Anuradha Welivita , Pearl Pu

Clinical empathy is essential for patient care, but physicians need continually balance emotional warmth with factual precision under the cognitive and emotional constraints of clinical practice. This study investigates how large language…

Computation and Language · Computer Science 2026-01-23 Man Luo , Bahareh Harandizadeh , Amara Tariq , Halim Abbas , Umar Ghaffar , Christopher J Warren , Segun O. Kolade , Haidar M. Abdul-Muhsin

Large Language Models (LLMs) are increasingly being used to provide support and advice in personal domains such as romantic relationships, yet little is known about user perceptions of this type of advice. This study investigated how people…

Human-Computer Interaction · Computer Science 2026-03-06 Niva Manchanda , Akshata Kishore Moharir , Ratna Kandala

Large Language Models (LLMs) are already as persuasive as humans. However, we know very little about how they do it. This paper investigates the persuasion strategies of LLMs, comparing them with human-generated arguments. Using a dataset…

Computation and Language · Computer Science 2024-04-23 Carlos Carrasco-Farre

Large language models (LLMs) are increasingly used for emotional support and mental health-related interactions outside clinical settings, yet little is known about how people evaluate and relate to these systems in everyday use. We analyze…

Computation and Language · Computer Science 2026-01-29 Elham Aghakhani , Rezvaneh Rezapour
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