Papers by Shreya Savant
Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory (2026.findings-eacl)
Copied to clipboard
| Challenge: | Large Language Models exhibit significant causal hallucination, but evaluation of their document-level ECI performance is lacking. |
| Approach: | They propose to use Large Language Models to evaluate their document-level ECI performance . they propose a framework to mitigate the causal bias associated with using LLMs . |
| Outcome: | The proposed framework significantly reduces the causal bias associated with using LLMs on ECI while also achieving superior performance. |