Papers by Artem Bisliouk
Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning (2026.findings-acl)
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Zhenjiang Mao, Anirudhh Venkat, Artem Bisliouk, Sindhura Kumbakonam Subramanian, Akshat Kothiyal, Saithej Singhu, Ivan Ruchkin
| Challenge: | Existing confidence estimation methods reduce reasoning process to a single scalar score, ignoring how confidence evolves throughout generation. |
| Approach: | They propose to characterize the stepwise confidence signal using Signal Temporal Logic (STL) based on a discriminative STL mining procedure, they find temporal formulas that distinguish correct and incorrect responses. |
| Outcome: | The proposed method can distinguish between correct and incorrect reasoning signals. |