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Generative Question Answering
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering
Towards a Generative Approach for Emotion Detection and Reasoning
ANAH: Analytical Annotation of Hallucinations in Large Language Models
ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering
Mitigating LLM Hallucinations via Conformal Abstention
Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
A Search for Prompts: Generating Structured Answers from Contracts
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model
Sequence-to-Sequence Spanish Pre-trained Language Models
Retrieving Supporting Evidence for Generative Question Answering
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering
Evaluation of medium-large Language Models at zero-shot closed book generative question answering
Retrieval-Augmented Generative Question Answering for Event Argument Extraction
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
Modeling Multi-hop Question Answering as Single Sequence Prediction
Towards Answering Open-ended Ethical Quandary Questions
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense
Survey of Hallucination in Natural Language Generation
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering
Automated Story Generation as Question-Answering
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation
General-Purpose Question-Answering with Macaw
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Incorporating External Knowledge into Machine Reading for Generative Question Answering
Unified Language Model Pre-training for Natural Language Understanding and Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.