DiagEval uses trajectory-conditioned diagnostic probes to disambiguate evaluator errors from software defects in GUI-agent evaluations, recovering over 45% of misattributed failures and improving accuracy substantially.
SR-MCR aligns multimodal reasoning via intrinsic process rewards and a critic-free GRPO objective, achieving 81.4% average accuracy across visual benchmarks.