Verification of LLaMA 3.3’s reasoning advantage in the EIC RAG QA system

Determine whether the LLaMA 3.3 language model offers better reasoning ability than the LLaMA 3.2 model within the on‑premises retrieval‑augmented question‑answering pipeline over Electron‑Ion Collider literature, given that this hypothesized improvement could not be verified due to compute constraints.

Background

The paper evaluates an on‑premises RAG-based question‑answering system for Electron‑Ion Collider literature using open‑source components and compares LLaMA 3.2 and LLaMA 3.3 with respect to latency.

While LLaMA 3.3 exhibits substantially higher and more variable latency, the authors speculate it may offer better reasoning ability; however, they report that they were unable to verify this due to compute limitations, leaving the performance impact on reasoning unresolved.

References

This larger model may lead to better reasoning ability, however this could not be verified in this work owing to the compute constraint.

— Retrieval-Augmented Question Answering over Scientific Literature for the Electron-Ion Collider  (2604.02259 - Jat et al., 2 Apr 2026) in Section 5 (Conclusion)