14 skills found
Yifan-Gao / Distractor Generation RACE[AAAI 2019] Generating Distractors for Reading Comprehension Questions from Real Examinations
harrylclc / LTR DG"Distractor Generation for Multiple Choice Questions Using Learning to Rank" (Liang et al. 2018)
voidful / BDGCode for "A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies."
DRSY / DGen[AAAI 2021]Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
AndyChiangSH / CDGPCode for Findings of EMNLP 2022 short paper "CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model".
umass-ml4ed / Prompt Distractor Generation NAACLOfficial repo for the paper "Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models" at NAACL 2024 Findings.
qusaybtoush / Texas Wind Turbine Accuracy 99 Texas Wind - Turbine About Dataset Problem Statement: The intermittent nature and low control over the wind conditions bring up the same problem to every grid operator in their successful integration to satisfy current demand. In combination with having to predict demand and balance it with the supply, the grid operator now also must predict the availability of wind and solar generation plants in the next hour, day, or week. Apart from holding back the benefits of renewable energy, incorrectly scheduling of wind generation plants may lead to unnecessary reservations, higher costs passed over to the consumer, and use of other more expensive and polluting power resources. Working with real data is challenging due to noise and missing periods. Dataset details: The provided full-year hourly time-series are simulated using the National Renewable Energy Laboratory (NREL) software for a location in Texas, US. It has perfect data completeness, and no noisy data; challenges that hinder forecasting tasks with real datasets and distract from the goal. The dataset contains various weather features which can be analyzed and used as predictors. Colums: Time stamp System power generated | (kW) Wind speed | (m/s) Wind direction | (deg) Pressure | (atm) Air temperature | ('C) Work plan 🤝🤝🤝🤝🤝 1- Data Exploration & Analysis 🤝🤝🤝 2- Building a Machine Learning Model / Predict
Gary-code / PEIFG[ACM MM 2024] The released code of paper "Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor"
xinzhu-cai / Probase Concept GeneratorAn Open-domain Concept Distractor Generation System for Multiple Choice Questions
obss / Disgem[EMNLP 2024] Official Implementation of DisGeM: Distractor Generation for Multiple Choice Question with Span Masking
rrodrigu3z / T5 DistractorsDistractors Generation using T5 (Text-to-Text-Transfer-Transformer)
subhadarship / Round Trip DistractorsCode for the paper Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation https://aclanthology.org/2022.acl-srw.31.pdf
ryyrn / Knowledge Graph Guided Distractor GenerationThe official implementation of paper "Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation"
zpqiu / EDGESource code for "Automatic Distractor Generation for Multiple Choice Questions in Standard Tests"
