LitReview Arena is introduced, a battle-style evaluation platform with a structured protocol tailored to literature review quality: domain experts with AI paper-writing experience compare anonymized drafts, are matched to topics within their expertise, and provide dimension-wise outcomes over five literature-review-spe...
Ruotong Zhao, Zhi-Yu Chen, Xurui Liu et al.· 0 citations
SkillDelta is introduced, a framework for predicting task-conditional skill gains from paired executions of the same agent with and without the skill, and links support coverage, representation mismatch, and execution noise to prediction error and decision regret.
Anjie Xu, Zhiyu Zhang, Rui-Qing Ding et al.· 0 citations
AgentLance is introduced, a repeated labor market in which agents bid on tasks using their private costs and self-maintained strategy notes, an allocator selects winners from bids and public reputation records, and a VCG-style payment rule rewards cost-aware bidding.
Xiao Liu, Hao-Yang Li, Songwei Li et al.· 2 citations
The OpenCity framework provides a robust and efficient framework that unlocks the potential of LLMs for large-scale, high-fidelity multi-agent systems analysis and demonstrates the framework's capability as a policy sandbox through a counterfactual analysis of urban equity.
Qingbin Zeng, Yuwei Yan, Zhiheng Zheng et al.· Proceedings of the 32nd ACM...· 0 citations
This work introduces Ideation Arena, a battle style platform that evaluates research ideas through pairwise human assessment, and constructs Ideation Arena Eval, a benchmark for assessing whether automated evaluators align with human preferences in research ideation.
Zhi-Yu Chen, Keyu Zhao, Ji-Gao Fu et al.· 0 citations
Agent-based models (ABMs) have long been employed to explore how individual behaviors aggregate into complex societal phenomena in urban space. The rise of Large Language Models (LLMs) offers a new paradigm for ABM, enabling high-fidelity modeling of human behavior. However, urban dynamics often require extensive agent...
Qingbin Zeng, Yuwei Yan, Zhiheng Zheng et al.· Proceedings of the 32nd ACM...· 0 citations
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