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With the advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), there is a profound transformation occurring in the realm of natural language processing tasks within the legal domain. The capabilities of LLMs are…

Computation and Language · Computer Science 2024-04-02 Weicong Qin , Zhongxiang Sun

As the scaling of Large Language Models (LLMs) has dramatically enhanced their capabilities, there has been a growing focus on the alignment problem to ensure their responsible and ethical use. While existing alignment efforts predominantly…

Computation and Language · Computer Science 2024-06-21 Yuhang Wang , Yanxu Zhu , Chao Kong , Shuyu Wei , Xiaoyuan Yi , Xing Xie , Jitao Sang

Training Learning-to-Rank models for e-commerce product search ranking can be challenging due to the lack of a gold standard of ranking relevance. In this paper, we decompose ranking relevance into content-based and engagement-based…

Information Retrieval · Computer Science 2024-09-27 Qi Liu , Atul Singh , Jingbo Liu , Cun Mu , Zheng Yan

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

Software Engineering · Computer Science 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

Frontier AI systems, including large language models (LLMs), hold increasing influence over the epistemology of human users. Such influence can reinforce prevailing societal values, potentially contributing to the lock-in of misguided moral…

Machine Learning · Computer Science 2024-11-01 Tianyi Qiu , Yang Zhang , Xuchuan Huang , Jasmine Xinze Li , Jiaming Ji , Yaodong Yang

Collaborative problem solving and learning are shaped by who or what is on the team. As large language models (LLMs) increasingly function as collaborators rather than tools, a key question is whether AI teammates can be aligned to express…

Human-Computer Interaction · Computer Science 2026-03-03 Mohammad Amin Samadi , Nia Nixon

Language models trained on large-scale corpus often generate content that is harmful, toxic, or contrary to human preferences, making their alignment with human values a critical concern. Reinforcement learning from human feedback (RLHF)…

Computation and Language · Computer Science 2023-10-26 Jixiang Hong , Quan Tu , Changyu Chen , Xing Gao , Ji Zhang , Rui Yan

Integration of artificial intelligence (AI) into life cycle assessment (LCA) has accelerated in recent years, with numerous studies successfully adapting machine learning algorithms to support various stages of LCA. Despite this rapid…

Artificial Intelligence · Computer Science 2026-02-27 Anastasija Mensikova , Donna M. Rizzo , Kathryn Hinkelman

The rapid progress of Multimodal Large Language Models(MLLMs) has transformed the AI landscape. These models combine pre-trained LLMs with various modality encoders. This integration requires a systematic understanding of how different…

Computation and Language · Computer Science 2025-06-06 Jisu An , Junseok Lee , Jeoungeun Lee , Yongseok Son

Language has long been conceived as an essential tool for human reasoning. The breakthrough of Large Language Models (LLMs) has sparked significant research interest in leveraging these models to tackle complex reasoning tasks. Researchers…

As AI systems advance in capabilities, measuring their safety and alignment to human values is becoming paramount. A fast-growing field of AI research is devoted to developing such assessments. However, most current advances therein may be…

Computers and Society · Computer Science 2026-03-17 Max Hellrigel-Holderbaum , Edward James Young

Large language models (LLMs) are emerging as promising tools for mental health care, offering scalable support through their ability to generate human-like responses. However, the effectiveness of these models in clinical settings remains…

Artificial Intelligence · Computer Science 2024-08-22 Yining Hua , Hongbin Na , Zehan Li , Fenglin Liu , Xiao Fang , David Clifton , John Torous

Large language models have emerged as a promising approach towards achieving general-purpose AI agents. The thriving open-source LLM community has greatly accelerated the development of agents that support human-machine dialogue interaction…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Zhenfei Yin , Jiong Wang , Jianjian Cao , Zhelun Shi , Dingning Liu , Mukai Li , Lu Sheng , Lei Bai , Xiaoshui Huang , Zhiyong Wang , Jing Shao , Wanli Ouyang

As large language models (LLMs) become integral to intelligent user interfaces (IUIs), their role as decision-making agents raises critical concerns about alignment. Although extensive research has addressed issues such as factuality, bias,…

Artificial Intelligence · Computer Science 2025-04-23 Anna Karnysheva , Christian Drescher , Dietrich Klakow

With the advancements in Large Language Models (LLMs), Vision-Language Models (VLMs) have reached a new level of sophistication, showing notable competence in executing intricate cognition and reasoning tasks. However, existing evaluation…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Yuanfeng Ji , Chongjian Ge , Weikai Kong , Enze Xie , Zhengying Liu , Zhengguo Li , Ping Luo

Artificial intelligence (AI), machine learning, and deep learning have become transformative forces in big data analytics and management, enabling groundbreaking advancements across diverse industries. This article delves into the…

Large Language Models (LLMs) are highly proficient in language-based tasks. Their language capabilities have positioned them at the forefront of the future AGI (Artificial General Intelligence) race. However, on closer inspection, Valmeekam…

Computation and Language · Computer Science 2025-03-17 Dibyanayan Bandyopadhyay , Soham Bhattacharjee , Asif Ekbal

In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional…

Computation and Language · Computer Science 2024-11-25 Zhiyu Zoey Chen , Jing Ma , Xinlu Zhang , Nan Hao , An Yan , Armineh Nourbakhsh , Xianjun Yang , Julian McAuley , Linda Petzold , William Yang Wang

Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support. \emph{Peer support}, grounded in lived experience, offers a valuable complement to professional care. However,…

Human-Computer Interaction · Computer Science 2026-04-10 Kellie Yu Hui Sim , Roy Ka-Wei Lee , Kenny Tsu Wei Choo

Human values and their measurement are long-standing interdisciplinary inquiry. Recent advances in AI have sparked renewed interest in this area, with large language models (LLMs) emerging as both tools and subjects of value measurement.…

Computation and Language · Computer Science 2025-03-07 Haoran Ye , Yuhang Xie , Yuanyi Ren , Hanjun Fang , Xin Zhang , Guojie Song
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