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Showing 51–75 of 124 papers

TitleStatusHype
Attention-guided Generative Models for Extractive Question Answering—0
Allies: Prompting Large Language Model with Beam Search—0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?—0
Challenges in Generalization in Open Domain Question Answering—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Contextualized Representations Using Textual Encyclopedic Knowledge—0
Cost-Saving LLM Cascades with Early Abstention—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
Deep Understanding based Multi-Document Machine Reading Comprehension—0
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval—0
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures—0
Efficient Transformer Knowledge Distillation: A Performance Review—0
Evaluating Neural Model Robustness for Machine Comprehension—0
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
Fine-Grained Self-Endorsement Improves Factuality and Reasoning—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval—0
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation—0
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation—0
Noisy Pair Corrector for Dense Retrieval—0
On the Influence of Masking Policies in Intermediate Pre-training—0
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model—0
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders—0
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