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Angel X. Chang

2 papers indexed

arxivcs.CLcs.LG2026-07-08

Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator

Shiping Yang, Shining Liang, Weihao Liu, Wenbiao Ding, Linjun Shou, Lu Cheng, et al.

Identifying faithfulness hallucinations in LLM-generated outputs remains challenging due to the scarcity of high-quality annotated data. Recent work relies on advanced LLMs to synthesize training data, including rationales, labels, and hallucinated claims. However, these methods…

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arxivcs.CRcs.AIcs.SE2026-07-06

RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities

Tarek Elsayed, Shiping Yang, Eunsong Koh, Sanika Goyal, Vincent Huang, Paul Ngo, et al.

LLM agents are increasingly applied to vulnerability analysis, but existing benchmarks have not kept pace. They typically rely on small non-compilable snippets, focus on binary classification (vulnerable or not), and do not account for the risk that publicly-released datasets are…

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