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cs.LG2026
Predictable performance is suboptimal, and what it means for model routing
Guanhua Zhang, Moritz Hardt
Large language models (LLMs) differ in capabilities and costs, motivating routing methods that adaptively choose a model for each query. These methods rely on performance predictio…
cs.GT2026
Leaderboard Incentives: Model Rankings under Strategic Post-Training
Yatong Chen, Guanhua Zhang, Moritz Hardt
Influential benchmarks incentivize competing model developers to strategically allocate post-training resources toward improvements on the leaderboard, a phenomenon dubbed benchmax…
cs.LG2026
Good Allocations from Bad Estimates
Sílvia Casacuberta, Moritz Hardt
Conditional average treatment effect (CATE) estimation is the de facto gold standard for targeting a treatment to a heterogeneous population. The method estimates treatment effects…