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cs.AI2026
Agentic Router: An Execution-Grounded Continual Learning Approach With Memory
Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +3
Large language model (LLM) agents provide a promising interface for command-line-based network operations, but a plausible command may still fail or introduce operational risk afte…
cs.AI2026
Beyond Compromise: Pareto-Lenient Consensus for Efficient Multi-Preference LLM Alignment
Renxuan Tan, Rongpeng Li, Zhifeng Zhao +1
Transcending the single-preference paradigm, aligning LLMs with diverse human values is pivotal for robust deployment. Contemporary Multi-Objective Preference Alignment (MPA) appro…