| Aug 20, 2026 | All Leaks Count, Some Count More is accepted to the Findings of EMNLP 2026 (14.3% acceptance)! The paper measures how much of an LLM’s decision-driving reasoning is temporally contaminated (Shapley-DCLR) and blocks it at inference time without retraining (TimeSPEC). |
| Aug 03, 2026 | The capstone of our backtesting line is live on arXiv: Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores proves the standard contamination check is uninformative and shows one defensible reference restores a leakage-adjusted score. In submission to TMLR, with code and data released. |
| May 25, 2026 | Our new preprint on catching models that “peek” at the future is live on arXiv—with code to reproduce the claim-level leakage audit and TimeSPEC mitigation. |
| May 13, 2026 | TEMPO is out: a training approach that teaches LLMs temporal discipline for trustworthy backtesting. Code released. |
| Jan 22, 2026 | Thrilled that LAMP was selected as a Spotlight at AISTATS 2026—a lightweight way to audit whether a model’s explanations behave like they matter. |