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Chengkun Cai

2 accepted papers

2025

Bayesian Optimization for Controlled Image Editing via LLMs

ACL 2025finding

In the rapidly evolving field of image generation, achieving precise control over generated content and maintaining semantic consistency remain significant limitations, particularly concerning grounding techniques and the necessity for model fine-tuning. To address these challenges, we propose Bayes…

Cited by 0SourcePDFScholar
2025

The Role of Deductive and Inductive Reasoning in Large Language Models

ACL 2025long

Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning tasks, yet their reliance on static prompt structures and limited adaptability to complex scenarios remains a major challenge. In this paper, we propose the **Deductive and Inductive (DID)** method, a novel framework…

Cited by 0SourcePDFScholar