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Generative Question Answering

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Showing 1–25 of 45 papers

TitleStatusHype
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable AnswersCode2
ANAH: Analytical Annotation of Hallucinations in Large Language ModelsCode2
General-Purpose Question-Answering with MacawCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
KPQA: A Metric for Generative Question Answering Using Keyphrase WeightsCode1
Retrieval-Augmented Generative Question Answering for Event Argument ExtractionCode1
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationCode1
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs—0
ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering—0
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems—0
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation—0
Generative Question Answering: Learning to Answer the Whole Question—0
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA)—0
Incorporating External Knowledge into Machine Reading for Generative Question Answering—0
Mitigating LLM Hallucinations via Conformal Abstention—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering—0
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