2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Beyond Surface Statistics: Robust Conformal Prediction for LLMs via Internal Representations
Yanli Wang, Peng Kuang, Xiaoyu Han +2
Large language models are increasingly deployed in settings where reliability matters, yet output-level uncertainty signals such as token probabilities, entropy, and self-consisten…
cs.SE2025
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
Wenchao Gu, Zongyi Lyu, Yanlin Wang +3
Code retrieval aims to provide users with desired code snippets based on users' natural language queries. With the development of deep learning technologies, adopting pre-trained m…
cs.SE2023★ 2 cited
Improving Code Search with Hard Negative Sampling Based on Fine-tuning
Hande Dong, Jiayi Lin, Yanlin Wang +3
Pre-trained code models have emerged as the state-of-the-art paradigm for code search tasks. The paradigm involves pre-training the model on search-irrelevant tasks such as masked…