SabaPivot/repro-differentiable-conformal-training-for-llm-reasoning-factuality-artifacts
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Hong Seong Pyo
SabaPivot
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ICML 2026 Reproduction: No Free Lunch
Paper, logbook, numerical artifacts, and scaled-run outputs for ICML 2026 paper #28680.
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Reproduction: No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
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SabaPivot/repro-no-free-lunch-non-asymptotic-analysis-of-prediction-powered-inference-artifacts
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ICML 2026 Reproduction: No Free Lunch
Paper, logbook, numerical artifacts, and scaled-run outputs for ICML 2026 paper #28680.
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Reproduction: No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
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SabaPivot/repro-no-free-lunch-non-asymptotic-analysis-of-prediction-powered-inference-artifacts
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Reproduction: Online Fair Division
ICML 2026 paper #1428 reproduction: logbook, downloadable bundle, and source paper.
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Reproduction: Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
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Reproduction: Differentiable Conformal Training for LLM Reasoning Factuality
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Reproduction: Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
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Reproduction: Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
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Reproduction: Finding Most Influential Sets
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Reproduction: Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better
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SabaPivot/icml26-repro-online-ppp-change-point
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SabaPivot/icml26-repro-oddshap
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SabaPivot/icml8440-logbook-source
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SabaPivot/KMMLU-Summarized-Chain_of_Thought
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