74 citations · 171 across the 29 of their papers we have counts for
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cs.AI2026
HarnessNet: Feedback-driven Hierarchical Joint Harness Evolution for Multi-agent Systems
Zhaoyuan Qiu, Sachith Seneviratne, Yu Xia +1
AI agents can evolve by using environment feedback to revise their harnesses, the software managing model inputs, tool use, memory, and execution, while keeping foundation models f…
cs.AI2026
When Agents Disagree: Bayesian Backward Reasoning as a Label-Free Anchor for Multi-Agent Collective Decision-Making
Ken Chen, Wei Wang, Sachith Seneviratne +2
When multiple LLM agents yield conflicting answers, the decision-making process dictates whether agent diversity improves performance or merely compounds shared errors. Existing co…