“英语语言的paper2很难拿分。许多学生没有文化意识、阅读能力差且理解文本的速度太慢，所以常常误解要点...
WeaQA: Weak Supervision via Captions for Visual Question Answering; Pratyay Banerjee et al MULTIINSTRUCT: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning; Zhiyang Xu et al SELF-INSTRUCT: Aligning Language Model with Self Generated Instructions; Yizhong Wang et al Exploring the Impact ...
Figure 1: Overview of LLM on Tabular Data: the paper discusses application of LLM for prediction, data generation, and table understanding tasks. Figure 4: Key techniques in using LLMs for tabular data. The dotted line indicates steps that are optional. ...
We use PaLM 2-S and GPT 3.5 as the backbone LLMs and conduct the experiments on three public table understanding benchmarks: WikiTQ, TabFact, and FeTaQA. WikiTQ and FeTaQA are datasets for table-based question answering. TabFact is a table-based fact verification benchmark. In this blog...
In this paper, I draw on the ethnography of language planning and policy to consider how urban Indigenous language education might benefit from understanding the meanings and processes behind other language planning and policy activities migrant youth participate in, specifically, family language policymaki...
Language in India www.languageinindia.com 13 : 2 February 2013 Kaneez Fatima Syeda Narratological Framework in Heer Waris Shah - An Application of Valadimir Propp's Narrative Situations 204 Conclusion This paper clearly supports the claim that Heer Waris Shah, if judged according to narrative fram...
Let’s take the question of the difference between choosinghighest mountainandtallest mountainthat arose in a class recently. One explanation is based on the distribution of what collocates with tall – that is living things (tall man, tall tree) and man made objects (tall building, tall pole...
Section UI UsiriR Language Part I Talk about scientific experiences 听说技能强化 听说课前清障 1. cast vt. 投射;向投以视线笑容等;投掷 2. sh
A-Paper-List-of-Awesome-Tabular-LLMs Different types of tables are widely used to store and present information. To automatically process numerous tables and gain valuable insights, researchers have proposed a series of deep-learning models for various table-based tasks, e.g., table question answ...
Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey". - GitHub - wangbz98/LLM-on-Tabular-Data-Prediction-Table-Understanding-Data-Generation: Repository for collecting and ca