Papers by Cristina Mahanta
DateLogicQA: Benchmarking Temporal Biases in Large Language Models (2025.naacl-srw)
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| Challenge: | DateLogicQA examines temporal biases in Large Language Models (LLMs) 190 questions are curated by humans to examine temporal reasoning across date formats and contexts . |
| Approach: | They propose a human-curated benchmark of 190 questions specifically designed to understand temporal bias in Large Language Models. |
| Outcome: | The proposed dataset covers seven date formats across past, present, and future contexts . it examines four reasoning types: commonsense, factual, conceptual, and numerical . |