You can practice with the previous year and model question papers given below for getting more insights about the pattern and difficulty level of TN 10th English language paper. Question Paper Pattern and Marking Scheme for 10th English Board Examination The latest question pattern for 10th Board ex...
[arxiv] Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs.2024.01 [arxiv] Clue-Guided Path Exploration: An Efficient Knowledge Base Question-Answering Framework with Low Computational Resource Consumption.2024.01 [AAAI 2024] KAM-CoT: Knowledge Augmented Mult...
DetGPT DetGPT: Detect What You Need via Reasoning Link Instruction-tuning dataset with 5000 images and around 30000 query-answer pairs PMC-VQA PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering Coming soon Large-scale medical visual question-answering dataset VideoChat VideoChat...
− The Summary was disappointing – candidates seemed not to have been able to grasp which portion of the text was required to be referred to for the answer. 5) Grammar: The rules of grammar were not clear to many candidates. ICSE Class 10 English Language Question Paper 2020 With Solut...
Paper:QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering,NAACL 2021 来自Jure组的paper emmmm,思路还可以,但是感觉核心还是信息的堆叠,没有一些惊艳的操作。实验的分析真的很细致全面,值的学习~ Motivation: 使用GNN来推理,目前有两个问题:1)难以准确检索出有用的信息 2)很难使...
Larger models were compared to a 4-billion-parameter baseline trained on The Pile. Our evaluation encompassed the zero-shot setting, where no examples are provided, and the one-shot setting, where one instance of a question–answer pair is prepended in the prompt. To combat known issues70 ...
substantially across individuals. This is an empirical question, though, and while its answer ought to be pursued, it is not a question that this dataset is well-suited to address. Given the limitations of the dataset, arriving at a satisfactory account for the cross-participant variability of...
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer Arxiv 2023-11 GitHub Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction Arxiv 2023-08 Prompts Design Question Answer PaperVenueDateCode Knowledge-Enriched Prompt...
以ChatGPT、GPT-4等为代表的大语言模型(Large Language Model, LLM)掀起了新一轮自然语言处理领域的研究浪潮,展现出了类通用人工智能(AGI)的能力,受到业界广泛关注。然而,由于大语言模型的训练和部署都极为昂贵,为构建透明且开放的学术研究造成了一定的阻碍。 为了促进大模型在中文NLP社区的开放研究,本项目开源了中...
Results from the Paper Edit AddRemove Ranked #2 onQuestion Answering on TruthfulQA Get a GitHub badge TaskDatasetModelMetric NameMetric ValueGlobal RankBenchmark Question AnsweringTruthfulQAMistral-7B-Instruct-v0.2 + TruthXMC10.56# 2 Compare