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cs.AI2026
RecourseBench: A Modular Framework for Reproducible Algorithmic Recourse Evaluation
Hashir Ahmed, Zahra Khotanlou, Chenghao Tan +2
Algorithmic recourse methods provide counterfactual explanations that inform individuals of the actions required to overturn an unfavorable model decision. Despite rapid methodolog…
cs.LG2026
A Unified Perturbation Framework for Analyzing Leaderboard Stability and Manipulation
Hosna Oyarhoseini, Jimmy Lin, Amir-Hossein Karimi
Evaluation leaderboards such as LMArena play a central role in benchmarking large language models by aggregating pairwise human preferences into model rankings, yet the robustness…