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Yu-Long Huang

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Preprint Oct 2026

The Window Is in the Reasoning: When LLM Agents Decide to Follow Prompt Injections

LLM agents that read untrusted content can be hijacked by prompt injections. Runtime monitors that try to catch a hijack before the agent acts, and benchmarks that score each task with a single run, share an assumption: whether an agent follows an injection is settled when the injection is read. We test this assumption...

H. Jia, Yang Liu, Bin Chong et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Harness-agnostic detection and immunization of reward hacking in self-evolving language models

This work introduces HackProbe, a monitor that attaches to an arbitrary self-evolving loop through two black-box hooks, with no access to weights or activations, and proves a detectability bound that converts a target error rate into an explicit probe-size budget, and delimit what probe rotation does and does not buy.

Rong-Xin Yang, Yang Liu, Shang Luo et al. · 2 citations
#natural language process... Preprint Aug 2026

Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit

Hindsight Memory-PRM exploits this audit trail twice: offline to train an operation-conditioned memory-utility critic, and online, where retrievals, citations, and one controlled deletion-and-reanswer per probe settle an intervention-calibrated entry-level presence credit.

H. Jia, Yang Liu, Ying-Guang Yang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Safety Does Not Compose: Non-Decaying Loop State for Autonomous LLM Agents

LoopHarness is presented, which restores a persistent, non-decaying safety state at the loop level at the loop level, and gives a complete evaluation protocol on native Agent-SafetyBench tasks with paired clean and attacked episodes, an outer-state attack suite whose decisive evidence exists only across iterations, per...

Chenmin Wu, H. Jia, Yang Liu et al. · 0 citations

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