arXiv cs.CL
· Papers
MT-PingEval: Evaluating Multi-Turn Collaboration with Private Information Games
arXiv:2602.24188v2 Announce Type: replace Abstract: We present a scalable and verifiable methodology for evaluating language models in multi-turn interactions, using a suite of collaborative games that require effective communication about private information. This enables an interactive scaling analysis, in which a fi