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‘Message Passing Enables Efficient Reasoning’ wins a COLM 2026 Outstanding Paper Award

A congratulatory post says the paper lets subagents communicate and claims a 0.6B model beats GPT-5 Pro at Sudoku.

1 Source, 8h ago, first seen 8h ago

TLDR

A researcher congratulated their students and collaborator on receiving an Outstanding Paper Award at COLM. Another post names Xuecheng Liu and Daman as co-first authors of ‘Message Passing Enables Efficient Reasoning.’ It says the work lets subagents talk to each other and claims a 0.6B model beats GPT-5 Pro at Sudoku.

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1 Source, first seen 8h ago

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1 Source, first seen 8h ago

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1 Source

lily zhang @ COLM 2026@lily_gpupoorcongrats to Xuecheng Liu, @amuseddaman @g_k_swamy @Zanette_ai on winning the #COLM2026 Outstanding Paper Award! Xuecheng and Daman are the co-first authors on 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐩𝐚𝐬𝐬𝐢𝐧𝐠 𝐞𝐧𝐚𝐛𝐥𝐞𝐬 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠, let subagents talk to each other, and a 0.6B model beats GPT-5 Pro at Sudoku. it's Andrea's lab's first time at COLM, and they made it! 𝐒𝐎𝐓𝐀 𝐓𝐕 interview coming soon.8h
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    1 Source

    lily zhang @ COLM 2026@lily_gpupoorcongrats to Xuecheng Liu, @amuseddaman @g_k_swamy @Zanette_ai on winning the #COLM2026 Outstanding Paper Award! Xuecheng and Daman are the co-first authors on 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐩𝐚𝐬𝐬𝐢𝐧𝐠 𝐞𝐧𝐚𝐛𝐥𝐞𝐬 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠, let subagents talk to each other, and a 0.6B model beats GPT-5 Pro at Sudoku. it's Andrea's lab's first time at COLM, and they made it! 𝐒𝐎𝐓𝐀 𝐓𝐕 interview coming soon.8h
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