New dataset captures group deliberation for chess puzzle solving

Researchers have introduced DeliChess, a new dataset designed to study collaborative reasoning in multi-party dialogues. The dataset comprises 107 dialogues where groups solve chess puzzles, first individually and then collectively after discussion. Analysis indicates that group deliberation improves puzzle-solving accuracy, although the impact of probing utterances on performance is variable. AI

IMPACT Provides a new benchmark for evaluating collaborative reasoning and dialogue systems in complex strategic domains.

RANK_REASON The cluster contains a new academic paper introducing a novel dataset for research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• DeliChess

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →