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cs.CL2026
Forging LLM Authorship Fingerprints with Targeted Rewriting
Haohan Yuan, Simin Chen, Xi Niu +3
Model-attribution classifiers can often identify which language model produced a text, making model-specific writing patterns a signal of provenance. Accurate attribution on unmodi…
cs.AI2026
GenCoord: Executable Commitments for Embodied LLM Agents under Private Information
Peng He, Junning Zhu, Haohan Yuan +1
Embodied language-model agents must coordinate interdependent actions while each holds private task information. In dialogue-based coordination, models generate messages and interp…
cs.CY2026
Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
Yizhu Wen, Nan Zhang, Haohan Yuan +3
Large language model (LLM) answer engines are increasingly used for information seeking, shifting visibility from ranked lists to synthesized answers. This enables Generative Engin…