顾嘉炜, 中山大学计算机科学与技术专业的硕士生,在International Digital Economy Academy (IDEA Research) ,实习期间完成A survey on LLM-as-a-Judge相关工作。她的研究兴趣主要集中于Scaling Law, Reasoning Enhancement 和 Efficient Learning 等。她曾在SenseTime Research实习,并在EMNLP等顶会上发表文章。
One Shot Learning as Instruction Data Prospector for Large Language Models Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin ...
[Summary] Very reader-friendly survey, including ideas such as Causal connectives (verb: cause, result; conjunction: because, so; preposition: for, because of; adverb: consequently; Verb Phrase: result in, lead to; Prepositional phrase: as a result of; Clause: that's why, so that); ...
[🔥🔥🔥] Mooler0410/LLMsPracticalGuide: list of practical guide resources of LLMs based on the paper Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond hpcaitech/ColossalAI: Making large AI models cheaper, faster and more accessible microsoft/LoRA: Code for lora...
基于大型语言模型的自主代理调查A survey on large language model based autonomous agents 作者简介:*,冯学阳*,张泽宇,杨浩,张敬森,陈志远,唐家凯,陈旭(*),林岩凯(*),赵伟鑫、魏哲伟、温继荣 *, X…
(2022). From artificial intelligence to explainable artificial intelligence in industry 4.0: A survey on what, how, and where. IEEE Transactions on Industrial Informatics, 18(8), 5031–5042. https://doi.org/10.1109/TII.2022.3146552 Article Google Scholar Akgun, S., & Greenhow, C. (2021)....
Truşcǎ, M.M., Frasincar, F.: Survey on aspect detection for aspect-based sentiment analysis. Artif. Intell. Rev. 56(5), 3797–3846 (2023) Google Scholar Usuga-Cadavid, J.P., Lamouri, S., Grabot, B., Fortin, A.: Using deep learning to value free-form text data for predic...
综述: Large Language Models for Information Retrieval: A Survey TF-IDF Term Frequency - Inverse Document Frequency: 词频-逆文档频率 TF : 词频, 表示词条在文本中出现的频率, 这个数字通常会被归一化(一般是词频除以文章总词数), 以防止它偏向长的文件(同一个词语在长文件里可能会比短文件有更高的词频,...
A Survey on Quality of Datasets With Machine-Generated Texts The rapid development of autoregressive Large Language Models (LLMs) has significantly improved the quality of generated texts, necessitating reliable machine-generated text detectors. A huge number of detectors and collections with AI ...
A Survey on Evaluation of LLMs by Chang et al. Presents a comprehensive paper covering what to evaluate, where to evaluate, and how to evaluate language models. 🔗 Chatbot Arena Leaderboard by lmsys Showcases an Elo rating system for general-purpose language models, based o...