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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

The "AI Scientist" paradigm is transforming scientific research by automating key stages of the research process, from idea generation to scholarly writing. This shift is expected to accelerate discovery and expand the scope of scientific…

Human-Computer Interaction · Computer Science 2026-02-05 Keyu Zhao , Fengli Xu , Yong Li , Tie-Yan Liu

The exponential growth of academic publications poses challenges for the research process, such as literature review and procedural planning. Large Language Models (LLMs) have emerged as powerful AI tools, especially when combined with…

Applied Physics · Physics 2025-02-13 Joaquin Ramirez-Medina , Mohammadmehdi Ataei , Alidad Amirfazli

This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models demonstrate strong performance across academic benchmarks for language…

Computation and Language · Computer Science 2024-04-17 Gemma Team , Thomas Mesnard , Cassidy Hardin , Robert Dadashi , Surya Bhupatiraju , Shreya Pathak , Laurent Sifre , Morgane Rivière , Mihir Sanjay Kale , Juliette Love , Pouya Tafti , Léonard Hussenot , Pier Giuseppe Sessa , Aakanksha Chowdhery , Adam Roberts , Aditya Barua , Alex Botev , Alex Castro-Ros , Ambrose Slone , Amélie Héliou , Andrea Tacchetti , Anna Bulanova , Antonia Paterson , Beth Tsai , Bobak Shahriari , Charline Le Lan , Christopher A. Choquette-Choo , Clément Crepy , Daniel Cer , Daphne Ippolito , David Reid , Elena Buchatskaya , Eric Ni , Eric Noland , Geng Yan , George Tucker , George-Christian Muraru , Grigory Rozhdestvenskiy , Henryk Michalewski , Ian Tenney , Ivan Grishchenko , Jacob Austin , James Keeling , Jane Labanowski , Jean-Baptiste Lespiau , Jeff Stanway , Jenny Brennan , Jeremy Chen , Johan Ferret , Justin Chiu , Justin Mao-Jones , Katherine Lee , Kathy Yu , Katie Millican , Lars Lowe Sjoesund , Lisa Lee , Lucas Dixon , Machel Reid , Maciej Mikuła , Mateo Wirth , Michael Sharman , Nikolai Chinaev , Nithum Thain , Olivier Bachem , Oscar Chang , Oscar Wahltinez , Paige Bailey , Paul Michel , Petko Yotov , Rahma Chaabouni , Ramona Comanescu , Reena Jana , Rohan Anil , Ross McIlroy , Ruibo Liu , Ryan Mullins , Samuel L Smith , Sebastian Borgeaud , Sertan Girgin , Sholto Douglas , Shree Pandya , Siamak Shakeri , Soham De , Ted Klimenko , Tom Hennigan , Vlad Feinberg , Wojciech Stokowiec , Yu-hui Chen , Zafarali Ahmed , Zhitao Gong , Tris Warkentin , Ludovic Peran , Minh Giang , Clément Farabet , Oriol Vinyals , Jeff Dean , Koray Kavukcuoglu , Demis Hassabis , Zoubin Ghahramani , Douglas Eck , Joelle Barral , Fernando Pereira , Eli Collins , Armand Joulin , Noah Fiedel , Evan Senter , Alek Andreev , Kathleen Kenealy

Developments in the field of Artificial Intelligence (AI), and particularly large language models (LLMs), have created a 'perfect storm' for observing 'sparks' of Artificial General Intelligence (AGI) that are spurious. Like simpler models,…

Artificial Intelligence · Computer Science 2024-06-03 Patrick Altmeyer , Andrew M. Demetriou , Antony Bartlett , Cynthia C. S. Liem

This project investigates the efficacy of Large Language Models (LLMs) in understanding and extracting scientific knowledge across specific domains and to create a deep learning framework: Knowledge AI. As a part of this framework, we…

Computation and Language · Computer Science 2024-08-12 Balaji Muralidharan , Hayden Beadles , Reza Marzban , Kalyan Sashank Mupparaju

Large Language Models (LLMs) have assisted humans in several writing tasks, including text revision and story generation. However, their effectiveness in supporting domain-specific writing, particularly in business contexts, is relatively…

Human-Computer Interaction · Computer Science 2024-07-17 Minhwa Lee , Zae Myung Kim , Vivek Khetan , Dongyeop Kang

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains…

Computation and Language · Computer Science 2024-01-09 Vahid Ashrafimoghari , Necdet Gürkan , Jordan W. Suchow

Recent advancements in artificial intelligence, particularly with the emergence of large language models (LLMs), have sparked a rethinking of artificial general intelligence possibilities. The increasing human-like capabilities of AI are…

Computation and Language · Computer Science 2024-01-23 Ruoxi Xu , Yingfei Sun , Mengjie Ren , Shiguang Guo , Ruotong Pan , Hongyu Lin , Le Sun , Xianpei Han

Recent advancements have positioned AI, and particularly Large Language Models (LLMs), as transformative tools for scientific research, capable of addressing complex tasks that require reasoning, problem-solving, and decision-making. Their…

The widespread adoption of large language models (LLMs) such as ChatGPT, Gemini, and DeepSeek has significantly changed how people approach tasks in education, professional work, and creative domains. This paper investigates how the…

Human-Computer Interaction · Computer Science 2025-08-29 Rizal Khoirul Anam

Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI systems. However, results to date have been limited, and few…

Human-Computer Interaction · Computer Science 2025-06-06 Jacy Reese Anthis , Ryan Liu , Sean M. Richardson , Austin C. Kozlowski , Bernard Koch , James Evans , Erik Brynjolfsson , Michael Bernstein

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

Human-Computer Interaction · Computer Science 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-world settings such as negotiation, medical diagnosis, and criminal investigation. It serves as a fundamental methodology in the field of…

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

In recent years, Large Language Models (LLMs) have emerged as a transformative development in artificial intelligence (AI), drawing significant attention from industry and academia. Trained on vast datasets, these sophisticated AI systems…

Artificial Intelligence · Computer Science 2025-01-15 Oudom Hean , Utsha Saha , Binita Saha

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

Artificial Intelligence · Computer Science 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

The scientific research paradigm is undergoing a profound transformation owing to the development of Artificial Intelligence (AI). Recent works demonstrate that various AI-assisted research methods can largely improve research efficiency by…

Artificial Intelligence · Computer Science 2025-04-10 Jiakang Yuan , Xiangchao Yan , Shiyang Feng , Bo Zhang , Tao Chen , Botian Shi , Wanli Ouyang , Yu Qiao , Lei Bai , Bowen Zhou

Large language models (LLMs) exhibit expert-level performance in tasks across a wide range of different domains. Ethical issues raised by LLMs and the need to align future versions makes it important to know how state of the art models…

Artificial Intelligence · Computer Science 2024-05-24 Guilherme F. C. F. Almeida , José Luiz Nunes , Neele Engelmann , Alex Wiegmann , Marcelo de Araújo

Academic writing is an indispensable yet laborious part of the research enterprise. This Perspective maps out principles and methods for using generative artificial intelligence (AI), specifically large language models (LLMs), to elevate…

Computers and Society · Computer Science 2026-04-07 Zhicheng Lin