advertising 2large language models 2agent simulation 1click-through prediction 1model-agnostic 1plug-and-play 1pricing mechanisms 1response rewriting 1
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cs.CL2026
PILA: Plug-and-Play Insertion for LLM-native Advertising
Zhaowei Zhang, Yuhan Fu, Yihang Zhang +6
The paper introduces PILA, a plug‑and‑play sidecar that rewrites LLM responses to insert sponsored content, allowing ad placement without modifying the underlying language model.
cs.CL2026
Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
Xinyi Yang, Liang Zeng, Heng Dong +6
As humans increasingly share environments with diverse agents powered by RL, LLMs, and beyond, the ability to explain agent policies in natural language is vital for reliable coexi…