Papers by Renqiang Luo
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought (2026.findings-eacl)
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| Challenge: | Existing prompting methods for Large Language Models (LLMs) suffer from excessive token usage and limited generalisability across diverse reasoning tasks. |
| Approach: | They propose an Adaptive Causal Prompting with Sketch-of-Thought framework that leverages structural causal models to infer the causal effect of a query on its answer. |
| Outcome: | The proposed framework outperforms existing prompting baselines in terms of accuracy, robustness, and computational efficiency. |