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Showing 51–75 of 124 papers

TitleStatusHype
What's in a Name? Answer Equivalence For Open-Domain Question AnsweringCode0
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming DataCode0
A Discrete Hard EM Approach for Weakly Supervised Question AnsweringCode0
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading ComprehensionCode0
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question AnsweringCode0
SFR-RAG: Towards Contextually Faithful LLMs—0
ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices—0
Simple and Effective Semi-Supervised Question Answering—0
SKILL: Structured Knowledge Infusion for Large Language Models—0
Smarnet: Teaching Machines to Read and Comprehend Like Human—0
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference—0
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting—0
Studying Strategically: Learning to Mask for Closed-book QA—0
The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate—0
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering—0
UnitedQA: A Hybrid Approach for Open Domain Question Answering—0
Vision-centric Token Compression in Large Language Model—0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
You Only Need One Model for Open-domain Question Answering—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
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