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Multimodal Large Language Models (MM-LLMs) have seen significant advancements in the last year, demonstrating impressive performance across tasks. However, to truly democratize AI, models must exhibit strong capabilities and be able to run…

Machine Learning · Computer Science 2024-09-04 Jainaveen Sundaram , Ravi Iyer

Large language models (LLMs) have revolutionized natural language processing (NLP), yet open-source multilingual LLMs remain scarce, with existing models often limited in language coverage. Such models typically prioritize well-resourced…

Computation and Language · Computer Science 2025-03-04 Yiran Zhao , Chaoqun Liu , Yue Deng , Jiahao Ying , Mahani Aljunied , Zhaodonghui Li , Lidong Bing , Hou Pong Chan , Yu Rong , Deli Zhao , Wenxuan Zhang

Large language models (LMs) of code have recently shown tremendous promise in completing code and synthesizing code from natural language descriptions. However, the current state-of-the-art code LMs (e.g., Codex (Chen et al., 2021)) are not…

Programming Languages · Computer Science 2022-05-05 Frank F. Xu , Uri Alon , Graham Neubig , Vincent J. Hellendoorn

This paper studies how to effectively build meeting summarization systems for real-world usage using large language models (LLMs). For this purpose, we conduct an extensive evaluation and comparison of various closed-source and open-source…

Computation and Language · Computer Science 2023-11-09 Md Tahmid Rahman Laskar , Xue-Yong Fu , Cheng Chen , Shashi Bhushan TN

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

Computation and Language · Computer Science 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

The widespread adoption of Large Language Models (LLMs) has become commonplace, particularly with the emergence of open-source models. More importantly, smaller models are well-suited for integration into consumer devices and are frequently…

Computation and Language · Computer Science 2024-08-16 Aisha Khatun , Daniel G. Brown

With the emergence of Large Language Models (LLMs) and Vision Foundation Models (VFMs), multimodal AI systems benefiting from large models have the potential to equally perceive the real world, make decisions, and control tools as humans.…

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications. However, there is a notable paucity of detailed, open-sourced methodologies on…

Large Language Models (LLMs) have recently demonstrated remarkable performance in various Natural Language Processing (NLP) applications, such as sentiment analysis, content generation, and personalized recommendations. Despite their…

Computation and Language · Computer Science 2024-12-10 Mahaman Sanoussi Yahaya Alassan , Jessica López Espejel , Merieme Bouhandi , Walid Dahhane , El Hassane Ettifouri

Large Language Models (LLMs) have remarkable capabilities across NLP tasks. However, their performance in multilingual contexts, especially within the mental health domain, has not been thoroughly explored. In this paper, we evaluate…

Computation and Language · Computer Science 2026-02-03 Nishat Raihan , Sadiya Sayara Chowdhury Puspo , Ana-Maria Bucur , Stevie Chancellor , Marcos Zampieri

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

Multilingual large language models (MLLMs) have shown impressive capabilities across a variety of languages. However, efficacy can differ greatly between different language families, especially for those with limited linguistic resources.…

Computation and Language · Computer Science 2025-01-23 Xin Huang , Tarun Kumar Vangani , Minh Duc Pham , Xunlong Zou , Bin Wang , Zhengyuan Liu , Ai Ti Aw

Large Language Models (LLMs) have shown significant advances in the past year. In addition to new versions of GPT and Llama, several other LLMs have been introduced recently. Some of these are open models available for download and…

Computation and Language · Computer Science 2024-08-01 Ravindu Jayakody , Gihan Dias

Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without…

Computation and Language · Computer Science 2024-04-23 Yilin Gao , Sai Kumar Arava , Yancheng Li , James W. Snyder

Large language models (LLMs) have demonstrated remarkable language abilities. GPT-4, based on advanced LLMs, exhibits extraordinary multimodal capabilities beyond previous visual language models. We attribute this to the use of more…

Computation and Language · Computer Science 2023-05-23 Feilong Chen , Minglun Han , Haozhi Zhao , Qingyang Zhang , Jing Shi , Shuang Xu , Bo Xu

Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks. From natural language processing and sentiment analysis to…

Previous learning-based vulnerability detection methods relied on either medium-sized pre-trained models or smaller neural networks from scratch. Recent advancements in Large Pre-Trained Language Models (LLMs) have showcased remarkable…

Software Engineering · Computer Science 2024-01-30 Xin Zhou , Ting Zhang , David Lo

Large Language Models (LLMs) have seen an impressive wave of advances recently, with models now excelling in a variety of tasks, such as mathematical reasoning and program synthesis. However, their potential to effectively use tools via API…

Computation and Language · Computer Science 2023-05-25 Shishir G. Patil , Tianjun Zhang , Xin Wang , Joseph E. Gonzalez

The integration of Large Language Models (LLMs) into healthcare promises to transform medical diagnostics, research, and patient care. Yet, the progression of medical LLMs faces obstacles such as complex training requirements, rigorous…

Machine Learning · Computer Science 2024-04-26 Emre Can Acikgoz , Osman Batur İnce , Rayene Bench , Arda Anıl Boz , İlker Kesen , Aykut Erdem , Erkut Erdem