Papers Text2text Generation
“Text2text Generation” 태그가 달린 논문 5편 · 필터 해제
Read between the lines -- Functionality Extraction From READMEs
While text summarization is a well-known NLP task, in this paper, we introduce a novel and useful variant of it called functionality extraction from Git README files. Though this task is a text2text generation at an abst…
Code Summarizationtext2text-generationText2text GenerationText SummarizationChatHaruhi: Reviving Anime Character in Reality via Large Language Model
Role-playing chatbots built on large language models have drawn interest, but better techniques are needed to enable mimicking specific fictional characters. We propose an algorithm that controls language models via an i…
Language ModelingLanguage ModellingLarge Language ModelText2text Generation+1MTTN: Multi-Pair Text to Text Narratives for Prompt Generation
The increased interest in diffusion models has opened up opportunities for advancements in generative text modeling. These models can produce impressive images when given a well-crafted prompt, but creating a powerful or…
Text2text GenerationText GenerationForecasting User Interests Through Topic Tag Predictions in Online Health Communities
The increasing reliance on online communities for healthcare information by patients and caregivers has led to the increase in the spread of misinformation, or subjective, anecdotal and inaccurate or non-specific recomme…
Recommendation SystemsText2text Generationniksss at SemEval-2022 Task7:Transformers for Grading the Clarifications on Instructional Texts
This paper describes the 9th place system description for SemEval-2022 Task 7. The goal of this shared task was to develop computational models to predict how plausible a clarification made on an instructional text is. T…
regressiontext2text-generationText2text Generation