Wentao Ye

Context-sensitive hallucinations in LLMs can be mitigated by a new optimization technique that rewards step-level consistency, leading to significant improvements in reasoning accuracy.

Dense retrievers miss the mark on answerability, dropping QA performance drastically despite high semantic relevance, revealing a critical oversight in RAG systems.

OPSD can backfire, leading to rote memorization instead of enhancing reasoning, but a novel decomposition approach reveals a path to meaningful improvements.

Ignoring individual olfactory profiles can degrade odor prediction accuracy, but structured integration leads to significant improvements in scent matching for audiovisual content.