arXiv:2608. 16391v1 Announce Type: cross Abstract: As large language models become increasingly widespread, third-party providers that deploy open-weight models have become an important part of the ecosystem.
By Xiangfan Wu, Zonghao Ying, Huiyu Wu, Xing Zheng, Huangsheng Cheng, Xiaorong Shi, Jing Guo
arXiv:2607. 01854v1 Announce Type: cross Abstract: Can a platform tell, before deployment, whether an open-weight checkpoint has had its refusal mechanism stripped?
By Gabriel Hurtado
arXiv:2608. 07911v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models have outgrown accelerator memory, and offloading expert weights to host memory is now standard.
By Yu Zhang
The paper audits whether routing entropy in Attention‑Residual transformer variants (Swin‑Tiny and DeiT‑Small) trained on CIFAR‑10/100 can signal prediction uncertainty beyond model confidence. Three tests examine the presence, consistency, and predictive power of routing signals, while a sensitivity audit measures how much injected effect the probes recover. Results show no significant improvement over confidence alone, with only modest recovery of injected signals and no consistent gains across seeds or metrics.
By Wenhao Liang, Lin Yue, Wei Emma Zhang, Mingyu Guo, Olaf Maennel, Weitong Chen
RAGScope is a leakage‑controlled, cost‑aware protocol that evaluates evidence‑gating mechanisms for retrieval‑augmented generation (RAG) systems using only the task input, retrieved context, and answer text. The enhanced gate, RAGScope‑E, achieves an AUROC of 0.798 and an average precision of 0.660 on three RAGTruth tasks, outperforming ROUGE‑L by 0.034 in pooled AP and delivering 0.748 precision within a top‑10% review budget. It operates quickly (6.22 ms per example on CPU) and demonstrates that cheap evidence gates can effectively triage RAG outputs, though calibration must be validated and adapted for each target domain.
By Zeming Liu, Qibai Chen, Jingtao Zhang, Hang Lyu
arXiv:2608. 08910v1 Announce Type: cross Abstract: PTQTP decomposes LLM weight matrices into two ternary (trit) planes with two free per-group scales.
By Matteo Grella