2 citations · 2 across the 3 of their papers we have counts for
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cs.AI2026
SafeAdapt-Poker: Counterfactual Risk Calibration for Budgeted Adaptation under Opponent Shift
Miaobo Hu, Shuhao Hu, Xiaobo Guo +5
Opponent histories can mislead after behavioral shifts. SafeAdapt-Poker formulates budgeted adaptation under opponent shift as a dual-counterfactual sequential-control problem usin…
cs.AI2026
DemoEvolve: Demonstration-Guided Harness Evolution under Sparse Feedback
Lirong Che, Yuzhe yang, Peiwen lin +4
Harness evolution enables frozen language model agents to adapt to unfamiliar tasks by modifying the external programs that govern their behavior. For long-horizon tasks, each roll…
cs.AI2024★ 2 cited
CACA Agent: Capability Collaboration based AI Agent
Peng Xu, Haoran Wang, Chuang Wang +1
As AI Agents based on Large Language Models (LLMs) have shown potential in practical applications across various fields, how to quickly deploy an AI agent and how to conveniently e…