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Showing 51–100 of 124 papers

TitleStatusHype
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders—0
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?—0
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
Large Language Models Struggle to Learn Long-Tail KnowledgeCode1
Recitation-Augmented Language ModelsCode1
Unsupervised Question Answering via Answer DiversifyingCode0
A Neural Corpus Indexer for Document RetrievalCode1
SKILL: Structured Knowledge Infusion for Large Language Models—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval—0
LinkBERT: Pretraining Language Models with Document LinksCode2
Deep Understanding based Multi-Document Machine Reading Comprehension—0
Text and Code Embeddings by Contrastive Pre-TrainingCode1
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
You Only Need One Model for Open-domain Question Answering—0
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
What’s in a Name? Answer Equivalence For Open-Domain Question AnsweringCode0
Challenges in Generalization in Open Domain Question Answering—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Attention-guided Generative Models for Extractive Question Answering—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Adversarial Retriever-Ranker for dense text retrieval—0
Relation-Guided Pre-Training for Open-Domain Question Answering—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
What's in a Name? Answer Equivalence For Open-Domain Question AnsweringCode0
RoR: Read-over-Read for Long Document Machine Reading ComprehensionCode1
R2-D2: A Modular Baseline for Open-Domain Question AnsweringCode1
Challenges in Generalization in Open Domain Question AnsweringCode0
Efficient Passage Retrieval with Hashing for Open-domain Question AnsweringCode1
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
On the Influence of Masking Policies in Intermediate Pre-training—0
Evaluating Neural Model Robustness for Machine Comprehension—0
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
Rider: Reader-Guided Passage Reranking for Open-Domain Question AnsweringCode1
UnitedQA: A Hybrid Approach for Open Domain Question Answering—0
Machine Reading Comprehension with Enhanced Linguistic Verifiers—0
Studying Strategically: Learning to Mask for Closed-book QA—0
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning—0
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip PredictionCode1
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question AnsweringCode1
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering—0
Generation-Augmented Retrieval for Open-domain Question AnsweringCode1
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Relevance-guided Supervision for OpenQA with ColBERTCode2
Recurrent Chunking Mechanisms for Long-Text Machine Reading ComprehensionCode1
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question AnsweringCode0
Contextualized Representations Using Textual Encyclopedic Knowledge—0
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