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A key feature differentiating artificial general intelligence (AGI) from traditional AI is that AGI can perform composite tasks that require a wide range of capabilities. Although embodied agents powered by multimodal large language models…

Artificial Intelligence · Computer Science 2025-11-21 Zhenliang Zhang , Yuxi Wang , Hongzhao Xie , Shiyun Zhao , Mingyuan Liu , Yujie Lu , Xinyi He , Zhenku Cheng , Yujia Peng

Large language models (LLMs) are becoming increasingly popular in the field of psychological counseling. However, when human therapists work with LLMs in therapy sessions, it is hard to understand how the model gives the answers. To address…

Computation and Language · Computer Science 2025-03-06 Keqi Chen , Zekai Sun , Huijun Lian , Yingming Gao , Ya Li

The rapid emergence of open-source, locally hosted intelligent agents marks a critical inflection point in human-computer interaction. Systems such as OpenClaw demonstrate that Large Language Model (LLM)-based agents can autonomously…

Artificial Intelligence · Computer Science 2026-03-13 Rui Liu , Tao Zhe , Dongjie Wang , Zijun Yao , Kunpeng Liu , Yanjie Fu , Huan Liu , Jian Pei

With the advancement of web techniques, they have significantly revolutionized various aspects of people's lives. Despite the importance of the web, many tasks performed on it are repetitive and time-consuming, negatively impacting overall…

Artificial Intelligence · Computer Science 2025-08-06 Liangbo Ning , Ziran Liang , Zhuohang Jiang , Haohao Qu , Yujuan Ding , Wenqi Fan , Xiao-yong Wei , Shanru Lin , Hui Liu , Philip S. Yu , Qing Li

Neural theorem proving combines large language models (LLMs) with proof assistants such as Lean, where the correctness of formal proofs can be rigorously verified, leaving no room for hallucination. With existing neural theorem provers…

Artificial Intelligence · Computer Science 2025-05-13 Peiyang Song , Kaiyu Yang , Anima Anandkumar

Large language models (LLMs) excel in open domains but struggle in specialized settings with limited data and evolving knowledge. Existing domain adaptation practices rely heavily on manual trial-and-error processes, incur significant…

Machine Learning · Computer Science 2026-03-10 Sidharth Sinha , Anson Bastos , Xuchao Zhang , Akshay Nambi , Chetan Bansal , Saravan Rajmohan

Computer-use agents (CUAs) hold the promise of performing a wide variety of general tasks, but current evaluations have primarily focused on simple scenarios. It therefore remains unclear whether such generalist agents can automate more…

Software Engineering · Computer Science 2025-10-06 Pranjal Aggarwal , Sean Welleck

This paper presents our research towards a near-term future in which legal entities, such as individuals and organisations can entrust semi-autonomous AI-driven agents to carry out online interactions on their behalf. The author's research…

Artificial Intelligence · Computer Science 2024-09-10 Jesse Wright

Powered by the emerging large language models (LLMs), autonomous geographic information systems (GIS) agents have the potential to accomplish spatial analyses and cartographic tasks. However, a research gap exists to support fully…

Information Retrieval · Computer Science 2024-08-09 Huan Ning , Zhenlong Li , Temitope Akinboyewa , M. Naser Lessani

With software maintenance accounting for 50% of the cost of developing software, enhancing code quality and reliability has become more critical than ever. In response to this challenge, this doctoral research proposal aims to explore…

Software Engineering · Computer Science 2024-06-25 Fernando Vallecillos Ruiz

Current large language models (LLMs) are constrained by human-derived training data and limited by a single level of abstraction that impedes definitive truth judgments. This paper introduces a novel framework in which AI models…

Large Language Models (LLMs) have emerged as powerful tools for accelerating scientific discovery, yet their static knowledge and hallucination issues hinder autonomous research applications. Recent advances integrate LLMs into agentic…

Artificial Intelligence · Computer Science 2025-12-23 Zeyu Xia , Jinzhe Ma , Congjie Zheng , Shufei Zhang , Yuqiang Li , Hang Su , P. Hu , Changshui Zhang , Xingao Gong , Wanli Ouyang , Lei Bai , Dongzhan Zhou , Mao Su

Developing chatbots as personal companions has long been a goal of artificial intelligence researchers. Recent advances in Large Language Models (LLMs) have delivered a practical solution for endowing chatbots with anthropomorphic language…

Human-Computer Interaction · Computer Science 2023-12-01 Zhenyu Xu , Hailin Xu , Zhouyang Lu , Yingying Zhao , Rui Zhu , Yujiang Wang , Mingzhi Dong , Yuhu Chang , Qin Lv , Robert P. Dick , Fan Yang , Tun Lu , Ning Gu , Li Shang

Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks. Despite recent advancements that have enabled the creation of autonomous software agents utilizing LLMs…

Software Engineering · Computer Science 2025-09-08 Huy Nhat Phan , Tien N. Nguyen , Phong X. Nguyen , Nghi D. Q. Bui

The increasingly popular agentic AI paradigm promises to harness the power of multiple, general-purpose large language model (LLM) agents to collaboratively complete complex tasks. While many agentic AI systems reduce complexity through…

Artificial Intelligence · Computer Science 2026-05-28 Hanqing Yang , Hyungwoo Lee , Yuhang Yao , Zhiwei Liu , Kay Liu , Jingdi Chen , Carlee Joe-Wong

Recent advances in large language models (LLMs) have enabled agents to autonomously perform complex, open-ended tasks. However, many existing frameworks depend heavily on manually predefined tools and workflows, which hinder their…

Autonomous Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) enable digital automation on end-user devices. While scaling both parameters and data has yielded substantial gains, advanced methods still…

Artificial Intelligence · Computer Science 2026-04-16 Ziwei Wang , Junjie Zheng , Leyang Yang , Sheng Zhou , Xiaoxuan Tang , Zhouhua Fang , Zhiwei Liu , Dajun Chen , Yong Li , Jiajun Bu

Simulations, although powerful in accurately replicating real-world systems, often remain inaccessible to non-technical users due to their complexity. Conversely, large language models (LLMs) provide intuitive, language-based interactions…

Computation and Language · Computer Science 2025-05-22 Jacob Kleiman , Kevin Frank , Joseph Voyles , Sindy Campagna

The rapid advancement of chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming. This…

Artificial Intelligence · Computer Science 2023-11-03 Guohao Li , Hasan Abed Al Kader Hammoud , Hani Itani , Dmitrii Khizbullin , Bernard Ghanem

Augmented Language Models (ALMs) empower large language models with the ability to use tools, transforming them into intelligent agents for real-world interactions. However, most existing frameworks for ALMs, to varying degrees, are…

Artificial Intelligence · Computer Science 2023-08-09 Binfeng Xu , Xukun Liu , Hua Shen , Zeyu Han , Yuhan Li , Murong Yue , Zhiyuan Peng , Yuchen Liu , Ziyu Yao , Dongkuan Xu