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cs.AI2026
GameDevBench: Evaluating Agentic Capabilities Through Game Development
Wayne Chi, Yixiong Fang, Arnav Yayavaram +8
Despite rapid progress on coding agents, progress on their multimodal counterparts has lagged behind. A key challenge is the scarcity of evaluation testbeds that combine the comple…
cs.AI2026
How can we assess human-agent interactions? Case studies in software agent design
Valerie Chen, Rohit Malhotra, Xingyao Wang +7
While benchmarks measure the accuracy of LLM-powered agents, they mostly assume full automation, failing to represent the collaborative nature of real-world use cases. In this pape…
cs.AI2026
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
Sijie Li, Weiwei Sun, Shanda Li +2
Large language model (LLM) agents show promise in automating machine learning (ML) engineering. However, existing agents typically operate in isolation on a given research problem,…