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Showing 101–125 of 178 papers

TitleStatusHype
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation—0
Adversarial Retriever-Ranker for dense text retrieval—0
A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
A Petri Dish for Histopathology Image Analysis—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
ARES: A Reading Comprehension Ensembling Service—0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation—0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations—0
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training—0
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption—0
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
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