Papers by Benjamin Reichman
Dense Passage Retrieval: Is it Retrieving? (2024.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) internally store repositories of knowledge, but access to these repositoriels is imprecise. |
| Approach: | They propose a paradigm called retrieval augmented generation to address hallucinations . they analyze the role of fine-tuning pre-trained networks to enhance alignment . |
| Outcome: | The proposed paradigm addresses hallucinations by fine-tuning pre-trained models . the model can be decentralized, inject facts as decentralized representations . |