JunJie Li
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The paper introduces XekRung, a frontier large language model for cybersecurity, which achieves state-of-the-art performance on domain-specific benchmarks through a comprehensive training and evaluation pipeline.
This paper proposes a Cross-Feature Knowledge Distillation (CFKD) framework to improve automatic speaker verification (ASV) performance of neural audio codecs (NACs) by guiding the student model to mimic the embedding space of a strong Fbank-based teacher model.
A framework called Restor is presented, which generates executable test assertions from a single observed request-response pair in a black-box REST API setting using a fine-tuned Large Language Model.
Papers
RESTOR: Automated Test Oracle Generation for RESTful APIs via Reinforcement Learning
Xun Zhou, Zhen Dong, Mingyu Ren, Qiang Li +5 more
A framework called Restor is presented, which generates executable test assertions from a single observed request-response pair in a black-box REST API setting using a fine-tuned Large Language Model.