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The fluency and creativity of large pre-trained language models (LLMs) have led to their widespread use, sometimes even as a replacement for traditional search engines. Yet language models are prone to making convincing but factually…

Computation and Language · Computer Science 2023-11-15 Katherine Tian , Eric Mitchell , Huaxiu Yao , Christopher D. Manning , Chelsea Finn

Recently, large language models (LLMs) and reasoning large language models (RLLMs) have gained considerable attention from many researchers. RLLMs enhance the reasoning capabilities of LLMs through Long Chain-of-Thought (Long CoT)…

Computation and Language · Computer Science 2026-04-14 Peng Wang , Xuesi Hu , Jiageng Wu , Yuntao Zou , Qiancheng Zhang , Dagang Li

Financial reporting systems increasingly leverage Large Language Models (LLMs) to extract and summarize corporate disclosures. However, most existing approaches assume a single-market setting and overlook structural differences across…

Finetuned large language models (LLMs) have shown remarkable performance in financial tasks, such as sentiment analysis and information retrieval. Due to privacy concerns, finetuning and deploying Financial LLMs (FinLLMs) locally are…

Machine Learning · Computer Science 2025-01-22 Dannong Wang , Daniel Kim , Bo Jin , Xingjian Zhao , Tianfan Fu , Steve Yang , Xiao-Yang Liu

The integration of Artificial Intelligence (AI) techniques, particularly large language models (LLMs), in finance has garnered increasing academic attention. Despite progress, existing studies predominantly focus on tasks like financial…

Large language models (LLMs) have achieved impressive proficiency in basic arithmetic, rivaling human-level performance on standard numerical tasks. However, little attention has been given to how these models perform when numerical…

Computation and Language · Computer Science 2026-01-22 Varshini Reddy , Craig W. Schmidt , Seth Ebner , Adam Wiemerslage , Yuval Pinter , Chris Tanner

Advancement in Large Language Models (LLMs) reasoning capabilities enables them to solve scientific problems with enhanced efficacy. Thereby, a high-quality benchmark for comprehensive and appropriate assessment holds significance, while…

Long-form question answering (LFQA) demands nuanced evaluation of multi-sentence explanatory responses, yet existing metrics often fail to reflect human judgment. We present LFQA-HP-1M, a large-scale dataset comprising 1.3M human pairwise…

Computation and Language · Computer Science 2026-03-02 Rafid Ishrak Jahan , Fahmid Shahriar Iqbal , Sagnik Ray Choudhury

This study introduces a benchmark framework for evaluating the financial decision-making capabilities of large language models (LLMs) through portfolio optimization problems with mathematically explicit solutions. Unlike existing financial…

Portfolio Management · Quantitative Finance 2026-05-28 Hanyong Cho , Jang Ho Kim

As AI becomes fundamental in sectors like healthcare, explainable AI (XAI) tools are essential for trust and transparency. However, traditional user studies used to evaluate these tools are often costly, time consuming, and difficult to…

Artificial Intelligence · Computer Science 2024-10-24 Francesco Bombassei De Bona , Gabriele Dominici , Tim Miller , Marc Langheinrich , Martin Gjoreski

Recently, significant efforts have been devoted to enhancing the long-context capabilities of Large Language Models (LLMs), particularly in long-context reasoning. To facilitate this research, we propose \textbf{DetectiveQA}, a dataset…

Computation and Language · Computer Science 2025-03-17 Zhe Xu , Jiasheng Ye , Xiaoran Liu , Xiangyang Liu , Tianxiang Sun , Zhigeng Liu , Qipeng Guo , Linlin Li , Qun Liu , Xuanjing Huang , Xipeng Qiu

As a rising star in the field of natural language processing, question answering systems (Q&A Systems) are widely used in all walks of life. Compared with other scenarios, the applicationin financial scenario has strong requirements in the…

Computation and Language · Computer Science 2022-07-14 Yanbo J. Wang , Yuming Li , Hui Qin , Yuhang Guan , Sheng Chen

Integrating large language models (LLMs) like DeepSeek R1 into healthcare requires rigorous evaluation of their reasoning alignment with clinical expertise. This study assesses DeepSeek R1's medical reasoning against expert patterns using…

Computation and Language · Computer Science 2025-04-02 Birger Moell , Fredrik Sand Aronsson , Sanian Akbar

Existing benchmarks for evaluating mathematical reasoning in large language models (LLMs) rely primarily on competition problems, formal proofs, or artificially challenging questions -- failing to capture the nature of mathematics…

Artificial Intelligence · Computer Science 2025-10-21 Jie Zhang , Cezara Petrui , Kristina Nikolić , Florian Tramèr

Building on advancements in Large Language Models (LLMs), we can tackle complex analytical and mathematical reasoning tasks requiring nuanced contextual understanding. A prime example of such complex tasks is modelling resource allocation…

Networking and Internet Architecture · Computer Science 2025-12-02 Tasnim Ahmed , Siana Rizwan , Naveed Ejaz , Salimur Choudhury

Log data provides crucial insights for tasks like monitoring, root cause analysis, and anomaly detection. Due to the vast volume of logs, automated log parsing is essential to transform semi-structured log messages into structured…

Machine Learning · Computer Science 2025-05-16 Viktor Beck , Max Landauer , Markus Wurzenberger , Florian Skopik , Andreas Rauber

Large language models (LLMs) are a promising venue for natural language understanding and generation tasks. However, current LLMs are far from reliable: they are prone to generate non-factual information and, more crucially, to contradict…

Machine Learning · Computer Science 2024-04-22 Diego Calanzone , Stefano Teso , Antonio Vergari

In education, the capability of generating human-like text of Large Language Models (LLMs) inspired work on how they can increase the efficiency of learning and teaching. We study the affordability of these models for educators and students…

Computation and Language · Computer Science 2025-03-06 Bianca Raimondi , Saverio Giallorenzo , Maurizio Gabbrielli

Large language models (LLMs) have achieved remarkable performance in language understanding and generation tasks by leveraging vast amounts of online texts. Unlike conventional models, LLMs can adapt to new domains through prompt…

Artificial Intelligence · Computer Science 2024-06-18 Ming Cheung

Effective financial reasoning demands not only textual understanding but also the ability to interpret complex visual data such as charts, tables, and trend graphs. This paper introduces a new benchmark designed to evaluate how well AI…

Artificial Intelligence · Computer Science 2025-06-10 Shuangyan Deng , Haizhou Peng , Jiachen Xu , Chunhou Liu , Ciprian Doru Giurcuaneanu , Jiamou Liu
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