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Showing 76–100 of 178 papers

TitleStatusHype
Challenges in Generalization in Open Domain Question Answering—0
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval—0
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation—0
CQMrobust: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models—0
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Deep Bayesian Network for Visual Question Generation—0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
DSI++: Updating Transformer Memory with New Documents—0
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models—0
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering—0
Ensembling Strategies for Answering Natural Questions—0
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information—0
Event Extraction as Machine Reading Comprehension—0
Frustratingly Easy Natural Question Answering—0
Generating Natural Questions from Images for Multimodal Assistants—0
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
Improving Question Answering with Generation of NQ-like Questions—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
In defense of dual-encoders for neural ranking—0
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style—0
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