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Papers
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
ACL 2024
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
ACL 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
ACL 2024
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
ACL 2024
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
ACL 2024
Analysis of LLM’s “Spurious” Correct Answers Using Evidence Information of Multi-hop QA Datasets
ACL 2024