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Large Language Models (LLMs) have the unique capability to understand and generate human-like text from input queries. When fine-tuned, these models show enhanced performance on domain-specific queries. OpenAI highlights the process of…

Computation and Language · Computer Science 2024-07-02 Scott Barnett , Zac Brannelly , Stefanus Kurniawan , Sheng Wong

Effective tool use is essential for large language models (LLMs) to interact with their environment. However, progress is limited by the lack of efficient reinforcement learning (RL) frameworks specifically designed for tool use, due to…

Computation and Language · Computer Science 2026-04-16 Junjie Ye , Changhao Jiang , Zhengyin Du , Yufei Xu , Xuesong Yao , Zhiheng Xi , Xiaoran Fan , Qi Zhang , Tao Gui , Xuanjing Huang , Jiecao Chen

During Human Robot Interactions in disaster relief scenarios, Large Language Models (LLMs) have the potential for substantial physical reasoning to assist in mission objectives. However, these reasoning capabilities are often found only in…

Computation and Language · Computer Science 2025-09-05 Mollie Shichman , Claire Bonial , Austin Blodgett , Taylor Hudson , Francis Ferraro , Rachel Rudinger

Large Language Models (LLMs) continue to advance natural language processing with their ability to generate human-like text across a range of tasks. Despite the remarkable success of LLMs in Natural Language Processing (NLP), their…

Computation and Language · Computer Science 2025-07-08 Walid Mohamed Aly , Taysir Hassan A. Soliman , Amr Mohamed AbdelAziz

Large language models (LLMs) have offered new opportunities for emotional support, and recent work has shown that they can produce empathic responses to people in distress. However, long-term mental well-being requires emotional…

Computation and Language · Computer Science 2024-08-09 Hongli Zhan , Allen Zheng , Yoon Kyung Lee , Jina Suh , Junyi Jessy Li , Desmond C. Ong

Large language models (LLMs) have been a disruptive innovation in recent years, and they play a crucial role in our daily lives due to their ability to understand and generate human-like text. Their capabilities include natural language…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-17 Akrit Mudvari , Yuang Jiang , Leandros Tassiulas

Countless disasters have resulted from climate change, causing severe damage to infrastructure and the economy. These disasters have significant societal impacts, necessitating mental health services for the millions affected. To prepare…

Information Retrieval · Computer Science 2024-08-22 Thomas Hoang , Quynh Anh Nguyen , Long Nguyen

Large Language Models (LLMs) are extensively used in text generation tasks. These generative capabilities bring us to a point where LLMs could potentially provide useful insights in policy making or agency operations. In this paper, we…

Information Retrieval · Computer Science 2026-03-24 Aleksandra Edwards , Thomas Edwards , Jose Camacho-Collados , Alun Preece

Large Language Models (LLMs) have exhibited impressive generation capabilities, but they suffer from hallucinations when solely relying on their internal knowledge, especially when answering questions that require less commonly known…

Computation and Language · Computer Science 2023-11-01 Wenting Zhao , Ye Liu , Tong Niu , Yao Wan , Philip S. Yu , Shafiq Joty , Yingbo Zhou , Semih Yavuz

In human-centered design, developing a comprehensive and in-depth understanding of user experiences, i.e., empathic understanding, is paramount for designing products that truly meet human needs. Nevertheless, accurately comprehending the…

Human-Computer Interaction · Computer Science 2024-03-21 Qihao Zhu , Leah Chong , Maria Yang , Jianxi Luo

Large Language Model (LLM) services such as ChatGPT, DALLE, and Cursor have quickly become essential for society, businesses, and individuals, empowering applications such as chatbots, image generation, and code assistance. The complexity…

Accurate load forecasting is crucial for maintaining the power balance between generators and consumers,particularly with the increasing integration of renewable energy sources, which introduce significant intermittent volatility. With the…

Systems and Control · Electrical Eng. & Systems 2024-09-04 Mingyang Gao , Suyang Zhou , Wei Gu , Zhi Wu , Haiquan Liu , Aihua Zhou

Emergency management urgently requires comprehensive knowledge while having a high possibility to go beyond individuals' cognitive scope. Therefore, artificial intelligence(AI) supported decision-making under that circumstance is of vital…

Computation and Language · Computer Science 2023-11-16 Minze Chen , Zhenxiang Tao , Weitong Tang , Tingxin Qin , Rui Yang , Chunli Zhu

Planning is a fundamental capability for large language models (LLMs) because such complex tasks require models to coordinate goals, constraints, resources, and long-term consequences into executable and verifiable solutions. Existing…

Artificial Intelligence · Computer Science 2026-05-21 Ziliang Zhao , Zenan Xu , Shuting Wang , Hongjin Qian , Yan Lei , Minda Hu , Zhao Wang , Shihan Dou , Zhicheng Dou , Pluto Zhou

Natural disasters affect hundreds of millions of people worldwide every year. Early warning, humanitarian response and recovery mechanisms can be improved by using big data sources. Measuring the different dimensions of the impact of…

Computers and Society · Computer Science 2020-06-25 David Pastor-Escuredo , Yolanda Torres , Maria Martinez , Pedro J. Zufiria

Ensuring robust safety measures across a wide range of scenarios is crucial for user-facing systems. While Large Language Models (LLMs) can generate valuable data for safety measures, they often exhibit distributional biases, focusing on…

Computation and Language · Computer Science 2024-10-16 Sabit Hassan , Anthony Sicilia , Malihe Alikhani

Large Language Models (LLMs) have demonstrated amazing capabilities in language generation, text comprehension, and knowledge reasoning. While a single powerful model can already handle multiple tasks, relying on a single perspective can…

Computation and Language · Computer Science 2024-06-12 Zining Qin , Chenhao Wang , Huiling Qin , Weijia Jia

High-quality benchmarks are essential for evaluating reasoning and retrieval capabilities of large language models (LLMs). However, curating datasets for this purpose is not a permanent solution as they are prone to data leakage and…

In the digital age, the prevalence of misleading news headlines poses a significant challenge to information integrity, necessitating robust detection mechanisms. This study explores the efficacy of Large Language Models (LLMs) in…

Computation and Language · Computer Science 2024-05-07 Md Main Uddin Rony , Md Mahfuzul Haque , Mohammad Ali , Ahmed Shatil Alam , Naeemul Hassan

Social media has increasingly played a key role in emergency response: first responders can use public posts to better react to ongoing crisis events and deploy the necessary resources where they are most needed. Timeline extraction and…

Computation and Language · Computer Science 2022-10-26 Hossein Rajaby Faghihi , Bashar Alhafni , Ke Zhang , Shihao Ran , Joel Tetreault , Alejandro Jaimes