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Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence. While general artificial intelligence is leveraged by…

计算与语言 · 计算机科学 2023-10-31 Yizhe Yang , Huashan Sun , Jiawei Li , Runheng Liu , Yinghao Li , Yuhang Liu , Heyan Huang , Yang Gao

Large Language Models (LLMs) like ChatGPT and GPT-4 are versatile and capable of addressing a diverse range of tasks. However, general LLMs, which are developed on open-domain data, may lack the domain-specific knowledge essential for tasks…

计算与语言 · 计算机科学 2024-03-28 Haitao Li , Qingyao Ai , Jia Chen , Qian Dong , Zhijing Wu , Yiqun Liu , Chong Chen , Qi Tian

The advent of Multilingual Language Models (MLLMs) and Large Language Models has spawned innovation in many areas of natural language processing. Despite the exciting potential of this technology, its impact on developing high-quality…

计算与语言 · 计算机科学 2024-03-06 Séamus Lankford , Haithem Afli , Andy Way

We propose the on-the-fly ensembling of a machine translation model with an LLM, prompted on the same task and input. We perform experiments on 4 language pairs (both directions) with varying data amounts. We find that a slightly…

计算与语言 · 计算机科学 2024-05-07 Hieu Hoang , Huda Khayrallah , Marcin Junczys-Dowmunt

Given the great success of large language models (LLMs) across various tasks, in this paper, we introduce LLM-ST, a novel and effective speech translation model constructed upon a pre-trained LLM. By integrating the large language model…

计算与语言 · 计算机科学 2023-12-22 Zhichao Huang , Rong Ye , Tom Ko , Qianqian Dong , Shanbo Cheng , Mingxuan Wang , Hang Li

Multimodal Large Language Models (MLLMs) have achieved significant success in Speech-to-Text Translation (S2TT) tasks. While most existing research has focused on English-centric translation directions, the exploration of many-to-many…

计算与语言 · 计算机科学 2025-06-17 Yexing Du , Youcheng Pan , Ziyang Ma , Bo Yang , Yifan Yang , Keqi Deng , Xie Chen , Yang Xiang , Ming Liu , Bing Qin

Open-sourced large language models (LLMs) have demonstrated remarkable efficacy in various tasks with instruction tuning. However, these models can sometimes struggle with tasks that require more specialized knowledge such as translation.…

计算与语言 · 计算机科学 2024-01-23 Jiali Zeng , Fandong Meng , Yongjing Yin , Jie Zhou

Large language models (LLMs) such as ChatGPT, Gemini, LlaMa, and Claude are trained on massive quantities of text parsed from the internet and have shown a remarkable ability to respond to complex prompts in a manner often indistinguishable…

光学 · 物理学 2025-04-01 Darui Lu , Yang Deng , Jordan M. Malof , Willie J. Padilla

Existing large language models struggle to support numerous low-resource languages, particularly the extremely low-resource ones, for which there is minimal training data available for effective parameter updating. We thus investigate…

计算与语言 · 计算机科学 2024-06-14 Chen Zhang , Xiao Liu , Jiuheng Lin , Yansong Feng

Large Language Models (LLMs) offer transformative potential for Modeling & Simulation (M&S) through natural language interfaces that simplify workflows. However, over-reliance risks compromising quality due to ambiguities, logical…

软件工程 · 计算机科学 2025-06-16 Philippe J. Giabbanelli , John Beverley , Istvan David , Andreas Tolk

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

计算与语言 · 计算机科学 2023-10-09 Michael R. Douglas

We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models using publicly available datasets…

Large Language Models (LLMs) represent a major step toward artificial general intelligence, significantly advancing our ability to interact with technology. While LLMs perform well on Natural Language Processing tasks -- such as…

计算与语言 · 计算机科学 2025-05-15 Brandon Smith , Mohamed Reda Bouadjenek , Tahsin Alamgir Kheya , Phillip Dawson , Sunil Aryal

Large language models hold significant promise in multilingual applications. However, inherent biases stemming from predominantly English-centric pre-training have led to the widespread practice of pre-translation, i.e., translating…

Large language models (LLMs) have demonstrated strong performance in sentence-level machine translation, but scaling to document-level translation remains challenging, particularly in modeling long-range dependencies and discourse phenomena…

计算与语言 · 计算机科学 2025-08-29 Miguel Moura Ramos , Patrick Fernandes , Sweta Agrawal , André F. T. Martins

In a rapidly evolving digital landscape autonomous tools and robots are becoming commonplace. Recognizing the significance of this development, this paper explores the integration of Large Language Models (LLMs) like Generative pre-trained…

人机交互 · 计算机科学 2024-03-22 Younes Lakhnati , Max Pascher , Jens Gerken

Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation,…

计算与语言 · 计算机科学 2024-12-31 Hanguang Xiao , Feizhong Zhou , Xingyue Liu , Tianqi Liu , Zhipeng Li , Xin Liu , Xiaoxuan Huang

Large language models (LLMs) are increasingly proposed for crisis preparedness and response, particularly for multilingual communication. However, their suitability for high-stakes crisis contexts remains insufficiently evaluated. This work…

计算与语言 · 计算机科学 2026-02-17 Belu Ticona , Antonis Anastasopoulos

Large language models (LLMs) like ChatGPT have exhibited remarkable abilities on a wide range of natural language processing~(NLP) tasks, including various machine translation abilities accomplished during chat. However, these models are…

计算与语言 · 计算机科学 2023-11-03 Wenxiang Jiao , Jen-tse Huang , Wenxuan Wang , Zhiwei He , Tian Liang , Xing Wang , Shuming Shi , Zhaopeng Tu

Large language models (LLMs) like ChatGPT, exhibit powerful zero-shot and instruction-following capabilities, have catalyzed a revolutionary transformation across diverse fields, especially for open-ended tasks. While the idea is less…

人工智能 · 计算机科学 2024-02-29 Mengmei Zhang , Mingwei Sun , Peng Wang , Shen Fan , Yanhu Mo , Xiaoxiao Xu , Hong Liu , Cheng Yang , Chuan Shi
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