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0 results for “post-hoc”
When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters
Researchers introduce CRAFTER, a method to discover interpretable corrective features from forecast model residuals to improve black-box forecasting performance without fine-tuning the original model.
Aug 7, 2026
Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes
Researchers propose a model-agnostic, post-hoc sentence-level attribution method for proprietary LLMs using an Energy-Based Model surrogate to quantify prompt influence without repeated API calls.
Aug 5, 2026
BAP-SQL: Budget-Aware Observation Planning for Agentic Text-to-SQL
BAP-SQL is a new method for agentic text-to-SQL systems that dynamically manages observation budgets during query execution to improve success rates under tight token and computational constraints.
Aug 5, 2026
Accuracy-Preserving Stability Regularization for Large-Scale Retail Demand Forecasting
A new stability regularization technique for retail demand forecasting models improves forecast path stability without materially degrading point accuracy, as demonstrated on M5 benchmark data.
Jul 16, 2026
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting
A new method called Homogeneous-Heterogeneous Splitting improves synthetic image utility by selecting subsets based on fidelity and diversity, without retraining generators, achieving real-data-level performance with up to 40% fewer samples.
Jul 8, 2026
Vistagen Announces Topline and Post-Hoc Data from PALISADE-4 Phase 3 Public Speaking Challenge Trial of Fasedienol for the Acute Treatment of Social Anxiety Disorder - Business Wire
Vistagen reported topline and post-hoc results from PALISADE-4, a Phase 3 clinical trial evaluating fasedienol for acute treatment of social anxiety disorder using a public speaking challenge paradigm.
Published Jun 30, 2026 · Analyzed Jul 8, 2026