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Question Generation

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하위 태스크: 1
평가표: 11
보존된 평가 기록: 42

The goal of Question Generation is to generate a valid and fluent question according to a given passage and the target answer. Question Generation can be used in many scenarios, such as automatic tutoring systems, improving the performance of Question Answering models and enabling chatbots to lead a conversation.

Source: Generating Highly Relevant Questions

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/h-shahidi/2birds-gen

공식 코드

Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data

https://github.com/hamedhematian/syncqg

공식 코드

Consistency Training by Synthetic Question Generation for Conversational Question Answering

https://github.com/hanxiao/daanet

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Dual Ask-Answer Network for Machine Reading Comprehension

https://github.com/harshj94/20Q-Game

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All It Takes is 20 Questions!: A Knowledge Graph Based Approach

https://github.com/him1411/edgar10q-dataset

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Context-NER : Contextual Phrase Generation at Scale

https://github.com/hkyoon95/mqg

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Diversity Enhanced Narrative Question Generation for Storybooks

https://github.com/hmuus01/educational_qg

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Scalable Educational Question Generation with Pre-trained Language Models

https://github.com/htsucml/VQAG

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End-to-End Video Question-Answer Generation with Generator-Pretester Network

https://github.com/hugochan/RL-based-Graph2Seq-for-NQG

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Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

https://github.com/iai-group/recsys2021-crs-questions

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Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems

https://github.com/ibm/t3qa

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Topic Transferable Table Question Answering

https://github.com/ielab/llm-qlm

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Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

https://github.com/imaodong/DPKG

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Multi-Hop Question Generation via Dual-Perspective Keyword Guidance

https://github.com/jemmryx/EQG-RACE

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EQG-RACE: Examination-Type Question Generation

https://github.com/jeongeun980906/CLARA-SaGC-Code

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CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents

https://github.com/jhyuklee/DensePhrases

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Learning Dense Representations of Phrases at Scale

https://github.com/jiazhen-code/PhD

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PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset

https://github.com/jimxionggm/autoqgs

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AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL

https://github.com/jrc1995/questiongenerationpub

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On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation

https://github.com/julmaxi/with_a_little_push

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With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness

https://github.com/kaushal0494/ZmBART

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ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation

https://github.com/kaushal0494/meta_xnlg

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Meta-X$_{NLG}$: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation

https://github.com/kazutoshishinoda/synonym-replacement

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Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap

https://github.com/kevinsrr/unicmr

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Towards End-to-End Open Conversational Machine Reading

https://github.com/kongds/mist

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Improving Non-autoregressive Generation with Mixup Training

https://github.com/kristiyanvachev/leaf-question-generation

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Leaf: Multiple-Choice Question Generation

https://github.com/lbaa2022/CAUS_v1

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CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models

https://github.com/leiyangithub/qsnail

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Qsnail: A Questionnaire Dataset for Sequential Question Generation

https://github.com/liamdugan/summary-qg

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A Feasibility Study of Answer-Agnostic Question Generation for Education

https://github.com/limu-research/2024-ectel-qg

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Comparison of Large Language Models for Generating Contextually Relevant Questions

https://github.com/lingchensanwen/qudeval

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QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing

https://github.com/liuyuxiang512/ecqg

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Ask To The Point: Open-Domain Entity-Centric Question Generation

https://github.com/lixinze777/knowledge-aware-language-model-attribution

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Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution

https://github.com/lkwate/neural-question-generation

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Semantic-Based Self-Critical Training For Question Generation

https://github.com/lucabenedetto/r2de-nlp-to-estimating-irt-parameters

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R2DE: a NLP approach to estimating IRT parameters of newly generated questions

https://github.com/luohongyin/RGX

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Cooperative Self-training of Machine Reading Comprehension

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