Challenge track
Technical reports for the LM-Playschool Challenge, at least 3 pages long and up to 5 pages of content (excluding references), detailing methodology, experimental setup, training data, and results for submitted systems.
The LM Playschool Challenge 2026
The LM Playschool Workshop 2026 focuses on advancing language models through interactive, dialogue-based learning in collaborative, goal-oriented environments. It bridges research in game-based benchmarking, machine language acquisition through social interaction, and interactive learning signals, with an emphasis on data efficiency, social cognition, and robust agent behavior in multi-turn settings.
Full paper
July 18, 2026
AoE
Conference timeline
Full paperKey deadline
July 18, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Technical reports for the LM-Playschool Challenge, at least 3 pages long and up to 5 pages of content (excluding references), detailing methodology, experimental setup, training data, and results for submitted systems.
Original research, work-in-progress, position papers, or recently published papers on language models learning through situated interaction; can be short (up to 4 pages) or long (up to 8 pages), and may be archival or non-archival.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026