question-answering text-simplification question-generation llms Updated Feb 2, 2024 Jupyter Notebook RussianNLP / RusEnQA Star 0 Code Issues Pull requests Materials for bilingual QA-system with ruGPT-3 (English + Russian) nlp qa question-answering bilingual question-generation gpt-3 gpt3 ...
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Large language models (LLMs)PromptBloom’s revised taxonomyWe explore the automated generation of open-ended questions from technical domain textbooks. These questions are more diverse than those typically examined in the field of question generation (QG) for reading comprehension. To facilitate this ...
First, itgives insights into open questions on LLM abilities,as some show LLMs excel in generation over com-prehension (West et al., 2023, RQA), while others1 https://github.com/nbalepur/QG-vs-QAGenerate a one-sentence question with the answer: "488".The only possible answer to the ...
Answer的嵌入层Ea和从feature到class的矩阵Wa共享参数,这里感觉和LLM的embedding层和LM head共享参数类似。 从Question到Vq,Vq到Question的两个LSTM也共享参数。 两个Dual Mutan共享参数。 Loss 从图中也可以看出loss分为两部分,从feature上计算和通过feature生成的问题和答案上也计算损失。
National Library of Medicine (NLM) in Visual Question Answering (VQA) and Visual Question Generation (VQG) tasks of the VQA-Med challenge at ImageCLEF 2020. In the VQA task, I proposed a variational autoencoders model that takes as input a medical question-image pair and generates a ...
In light of this, we propose SMMQG, a synthetic data generation framework. SMMQG leverages interplay between a retriever, large language model (LLM) and large multimodal model (LMM) to generate question and answer pairs directly from multimodal documents, with the questions conforming to specified...
Retrieval Augmented Generation (RAG) seems to be quite popular these days. Along the wave of Large Language Models (LLM’s), it is one of the popular techniques to get LLM’s to perform better on…
Now we come to our final step in which we combine the query, prompt, and the context containing text from relevant documents and pass it to the text generation LLM Flan T5 XXL model to generate the answer. We get the following response for th...
Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen LLM4Code Workshop at ICSE '24|April 2024 Best Paper Automated insight generation is a common tactic for helping knowledge workers, such as data scientists, to quickly understand the potential value of new and unfamiliar data. Unfortunately, au...