2 papers
cs.CL2026
Sanity Checks for Long-Form Hallucination Detection
Geigh Zollicoffer, Minh Vu, Hongli Zhan +2
Hallucination detection methods for large language models increasingly operate on chain-of-thought reasoning traces, yet it remains unclear whether they evaluate the reasoning itse…
cs.LG2025
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
Pradip Kunwar, Minh N. Vu, Maanak Gupta +2
We propose Tensor-Trained Low-Rank Adaptation Mixture of Experts (TT-LoRA MoE), a novel computational framework integrating Parameter-Efficient Fine-Tuning (PEFT) with sparse MoE r…