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Unlocking the potential of Large Language Models (LLMs) in data classification represents a promising frontier in natural language processing. In this work, we evaluate the performance of different LLMs in comparison with state-of-the-art…

Computation and Language · Computer Science 2025-01-16 Arina Kostina , Marios D. Dikaiakos , Dimosthenis Stefanidis , George Pallis

Recently, computer scientists have developed large language models (LLMs) by training prediction models with large-scale language corpora and human reinforcements. The LLMs have become one promising way to implement artificial intelligence…

Computers and Society · Computer Science 2023-08-22 Hyemin Han

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

Large-scale surveys are essential tools for informing social science research and policy, but running surveys is costly and time-intensive. If we could accurately simulate group-level survey results, this would therefore be very valuable to…

Computation and Language · Computer Science 2025-02-20 Yong Cao , Haijiang Liu , Arnav Arora , Isabelle Augenstein , Paul Röttger , Daniel Hershcovich

Large Language Models (LLMs) often generate inconsistent responses when prompted with semantically equivalent paraphrased inputs. Recently, activation steering, a technique that modulates LLMs' behaviours by adjusting their latent…

Computation and Language · Computer Science 2025-01-23 Jingyuan Yang , Rongjun Li , Weixuan Wang , Ziyu Zhou , Zhiyong Feng , Wei Peng

Product review generation is an important task in recommender systems, which could provide explanation and persuasiveness for the recommendation. Recently, Large Language Models (LLMs, e.g., ChatGPT) have shown superior text modeling and…

Computation and Language · Computer Science 2024-07-11 Qiyao Peng , Hongtao Liu , Hongyan Xu , Qing Yang , Minglai Shao , Wenjun Wang

Classification tasks are typically handled using Machine Learning (ML) models, which lack a balance between accuracy and interpretability. This paper introduces a new approach for classification tasks using Large Language Models (LLMs) in…

Computation and Language · Computer Science 2025-01-03 Praneeth Vadlapati

Behavioral testing in NLP allows fine-grained evaluation of systems by examining their linguistic capabilities through the analysis of input-output behavior. Unfortunately, existing work on behavioral testing in Machine Translation (MT) is…

Computation and Language · Computer Science 2023-11-06 Javier Ferrando , Matthias Sperber , Hendra Setiawan , Dominic Telaar , Saša Hasan

This paper explores the integration of Large Language Models (LLMs) into Automatic Speech Recognition (ASR) systems to improve transcription accuracy. The increasing sophistication of LLMs, with their in-context learning capabilities and…

Computation and Language · Computer Science 2025-06-03 Zeping Min , Jinbo Wang

Generative AI like the Large Language Models (LLMs) has become more available for the general consumer in recent years. Publicly available services, e.g., ChatGPT, perform token generation on networked cloud server hardware, effectively…

Machine Learning · Computer Science 2024-12-23 Liam Seymour , Basar Kutukcu , Sabur Baidya

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

Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has significantly advanced NLP tasks by enhancing the capabilities of conversational models. However, the application of LLMs in the recommendation domain has…

Information Retrieval · Computer Science 2023-08-24 Junling Liu , Chao Liu , Peilin Zhou , Qichen Ye , Dading Chong , Kang Zhou , Yueqi Xie , Yuwei Cao , Shoujin Wang , Chenyu You , Philip S. Yu

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

Quantitative Methods · Quantitative Biology 2024-02-22 Hengchuang Yin , Zhonghui Gu , Fanhao Wang , Yiparemu Abuduhaibaier , Yanqiao Zhu , Xinming Tu , Xian-Sheng Hua , Xiao Luo , Yizhou Sun

Several machine learning methods aim to learn or reason about complex physical systems. A common first-step towards reasoning is to infer system parameters from observations of its behavior. In this paper, we investigate the performance of…

Computation and Language · Computer Science 2024-02-07 Sean Memery , Mirella Lapata , Kartic Subr

In recent years, the integration of large language models (LLMs) has revolutionized the field of robotics, enabling robots to communicate, understand, and reason with human-like proficiency. This paper explores the multifaceted impact of…

Robotics · Computer Science 2024-08-16 Yeseung Kim , Dohyun Kim , Jieun Choi , Jisang Park , Nayoung Oh , Daehyung Park

The recent breakthroughs in the research on Large Language Models (LLMs) have triggered a transformation across several research domains. Notably, the integration of LLMs has greatly enhanced performance in robot Task And Motion Planning…

Robotics · Computer Science 2024-06-12 Yuchen Liu , Luigi Palmieri , Sebastian Koch , Ilche Georgievski , Marco Aiello

Large language models (LLMs) have significantly transformed the landscape of artificial intelligence by demonstrating their ability in generating human-like text across diverse topics. However, despite their impressive capabilities, LLMs…

Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a variety of everyday tasks. An important application of AI…

Computers and Society · Computer Science 2023-12-07 Yugen Sato , Taisei Nakajima , Tatsuki Kawamoto , Tomohiro Takagi

With recent advancements in natural language processing, Large Language Models (LLMs) have emerged as powerful tools for various real-world applications. Despite their prowess, the intrinsic generative abilities of LLMs may prove…

Artificial Intelligence · Computer Science 2025-12-30 Jingqing Ruan , Yihong Chen , Bin Zhang , Zhiwei Xu , Tianpeng Bao , Guoqing Du , Shiwei Shi , Hangyu Mao , Ziyue Li , Xingyu Zeng , Rui Zhao

The capacity of existing human keypoint localization models is limited by keypoint priors provided by the training data. To alleviate this restriction and pursue more general model, this work studies keypoint localization from a different…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Dongkai Wang , Shiyu Xuan , Shiliang Zhang
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