Question Answering Comparison Hub
4 papers - avg viability 7.3
Top Papers
- MDER-DR: Multi-Hop Question Answering with Entity-Centric Summaries(9.0)
MDER-DR is a robust, LLM-driven QA pipeline that enhances multi-hop question answering using knowledge graphs.
- Gradually Excavating External Knowledge for Implicit Complex Question Answering(8.0)
A framework for open-domain complex question answering that iteratively acquires external information and reasons based on historical knowledge, achieving SOTA results with smaller models.
- Fine-Grained Table Retrieval Through the Lens of Complex Queries(7.0)
A fine-grained table retrieval mechanism for complex question answering over relational databases, enabling more accurate and robust data access.
- Evaluating Monolingual and Multilingual Large Language Models for Greek Question Answering: The DemosQA Benchmark(5.0)
Develop a Greek-specific QA system leveraging a new dataset and evaluation framework for enhancing LLM performance in under-resourced languages.