12 citations · 16 across the 7 of their papers we have counts for
3 papers
cs.CR2026
Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
Ying Zhou, Jiacheng Wei, Yu Qi +2
Large language models (LLMs) demonstrate remarkable capabilities in natural language understanding and generation. Despite being trained on large-scale, high-quality data, LLMs sti…
cs.CL2025
A Lightweight Framework for Trigger-Guided LoRA-Based Self-Adaptation in LLMs
Jiacheng Wei, Faguo Wu, Xiao Zhang
Large language models are unable to continuously adapt and learn from new data during reasoning at inference time. To address this limitation, we propose that complex reasoning tas…
cs.LG2025
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood
Qingmao Yao, Zhichao Lei, Tianyuan Chen +5
Offline Reinforcement Learning (RL) struggles with distributional shifts, leading to the -value overestimation for out-of-distribution (OOD) actions. Existing methods address th…