Author

Tianlin Li

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Preprint Oct 2026

CARET: Training-Free Test-Time Scaling for Repository-Level Code Completion

Retrieval-augmented generation (RAG) dominates repository-level code completion: it retrieves cross-file context (R), then decodes one greedy completion (G). Existing work mainly focuses on retrieval and stops there. We argue both stages can be improved together, with generation in particular gaining from test-time sca...

Jia-Jie Wang, Yu-Tong Zhao, Ke-Bin Peng et al. · 0 citations

Preprint Aug 2026

Mitigating Bias in Large Vision-Language Models via Counterfactual Ensemble Decoding

Large Vision-Language Models (LVLMs) have achieved remarkable performance across a wide range of tasks; however, they often inherit social biases from their training data, resulting in biased behavior when processing portraits from different social groups. Existing debiasing approaches typically compare token probabili...

Yisong Xiao, Aishan Liu, Yongxin Huang et al. · 0 citations

Preprint Jul 2026

Do Uncertainty Signals Help? A Systematic Study of Uncertainty-Aware Decoding with Rollback Mechanisms

Prediction uncertainty is a widely adopted metric for quantifying model confidence, with downstream applications spanning model explanation, data selection, and prediction rollback. Despite its demonstrated utility, the potential of uncertainty quantification to enhance code generation in large language models (LLMs) r...

Xianzong Wu, Xiaohong Li, Yuejun Guo et al. · 0 citations