The VEX-Bench is introduced, a unified benchmark for evaluating the verification complexity of LLM-generated misinformation, as perceived during screening, across models and generation methods, and shows that no single method dominates all dimensions, underscoring the need for multi-dimensional evaluation.
Hanxun Huang, Yu-Tao Wu, Qi-Zhou Wang et al.· 0 citations
On-policy distillation (OPD) applies token-level teacher supervision to student-generated trajectories, but this supervision is not always reliable. Existing methods use local confidence or teacher-student agreement to weight, filter, or truncate the sampled trajectory. These signals do not directly determine whether t...
Ximo Zhu, Rui-Qi Liu, Rong Wang et al.· 4 citations
DropVLA is presented, an action-level backdoor attack that forces a reusable action primitive to execute at attacker-chosen decision points under a realistic pipeline-black-box setting with limited data-poisoning access, using a window-consistent relabeling scheme for chunked fine-tuning.
Zong-Huan Xu, Jiayu Li, Yun-Han Zhao et al.· 5 citations
Sci-MMR is introduced, a benchmark for multi-step evidence-grounded scientific reasoning built on structured argument graphs linking scientific claims, citation-grounded knowledge, visual evidence, and supporting regions, and it is found that current answer-centric benchmarks substantially overestimate the evidence-gro...
Jia-Qiang Li, Ya-Jie Yang, Zhi-Heng Xi et al.· 0 citations
The results suggest that directly asking for the target response may not always yield the most effective score for predicting it, and that comparing direct scores with indirect paths through related judgments may reveal a more effective predictive route.
Zonghuan Xu, Xiang Zheng, Yu-Tao Wu et al.· 0 citations
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