arXiv:2607. 29343v1 Announce Type: new Abstract: Artificial intelligence is increasingly embedded in everyday software, making its integration into mobile apps inevitable.
By Babar Shah, Faheem Ullah, Myles Watkinson, Muhammad Moiz Khalid, Tehmina Karamat Khan, Muhammad Junaid
arXiv:2606. 16072v1 Announce Type: cross Abstract: Compared with binaries and decompiled code, malware source code more directly reflects the attackers' original intent.
By Bojing Li, Duo Zhong, Prajna Bhandary, Raguvir S, Charles Maxa, Robert J Joyce, Charles Nicholas
HalluPeer is a new benchmark designed to detect hallucinations in scientific peer reviews. It provides aligned triples of paper content, human-written reviews, and hallucination-injected reviews, annotated for detection, classification, and localization. Experiments on 12K papers and 38K reviews show that current detectors struggle to distinguish hallucinations from legitimate critique, and real peer reviews contain HalluPeer-defined hallucination patterns, underscoring the need for source-aware verification.
HalluPeer is a new benchmark designed to detect hallucinations in scientific peer reviews. It provides aligned triples of paper content, human-written reviews, and hallucination-injected reviews, annotated for detection, classification, and localization. Experiments on 12K papers and 38K reviews show that existing detectors struggle to separate hallucinations from legitimate critique, and that HalluPeer-defined hallucination patterns occur in real peer reviews.
By Tzu-Ling Lin, Dong-Ting Yao, Teng-Fang Hsiao, Wei-Chih Chen, Hong-Han Shuai
arXiv:2608. 10970v1 Announce Type: cross Abstract: Recent advances in Large Language Models (LLMs) have demonstrated strong capabilities in generating semantically relevant concepts and relations, making them promising tools for taxonomy enrichment.
By Zeinab Ghamlouch, Mehwish Alam
Redakto is a new tool designed to anonymize text before it is processed by large language models (LLMs). It offers state‑of‑the‑art redaction of personally identifiable information (PII) and pseudonymization, accessible via a web interface, REST APIs, and model context protocol hooks. The authors evaluate its performance on legal and medical datasets, showing that anonymized texts retain utility comparable to the originals, enabling LLM tasks without significant loss of effectiveness.
By Saurav Kumar Saha, Tom R\"ohr, Felix Bie{\ss}mann