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TriviaQA
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
RoR: Read-over-Read for Long Document Machine Reading Comprehension
R2-D2: A Modular Baseline for Open-Domain Question Answering
Challenges in Generalization in Open Domain Question Answering
Efficient Passage Retrieval with Hashing for Open-domain Question Answering
On the Influence of Masking Policies in Intermediate Pre-training
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
UnitedQA: A Hybrid Approach for Open Domain Question Answering
Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering
Studying Strategically: Learning to Mask for Closed-book QA
A Memory Efficient Baseline for Open Domain Question Answering
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering
Generation-Augmented Retrieval for Open-domain Question Answering
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Relevance-guided Supervision for OpenQA with ColBERT
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
Contextualized Representations Using Textual Encyclopedic Knowledge
Entities as Experts: Sparse Memory Access with Entity Supervision
Longformer: The Long-Document Transformer
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
Integrated Triaging for Fast Reading Comprehension
A Discrete Hard EM Approach for Weakly Supervised Question Answering
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering
A Deep Cascade Model for Multi-Document Reading Comprehension
Efficient and Robust Question Answering from Minimal Context over Documents
Simple and Effective Semi-Supervised Question Answering
A Question-Focused Multi-Factor Attention Network for Question Answering
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
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