SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language Models | ScienceToStartup | ScienceToStartup

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References (36)

[1]

An End-to-end Planning Framework with Agentic LLMs and PDDL

2025Emanuele La Malfa, Ping Zhu et al.

[2]

On the Limits of Innate Planning in Large Language Models

2025Charles Schepanowski, Charles Ling

[3]

Solving a Million-Step LLM Task with Zero Errors

Founder's Pitch

"SokoBench is a benchmark suite focusing on evaluating and enhancing the long-horizon planning capabilities of large language models using Sokoban puzzles."

Benchmarking•Score: 5•View PDF ↗

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2.5

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SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language Models

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References (36)

Founder's Pitch

"SokoBench is a benchmark suite focusing on evaluating and enhancing the long-horizon planning capabilities of large language models using Sokoban puzzles."

Commercial Viability Breakdown

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SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language Models

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References (36)

Founder's Pitch

"SokoBench is a benchmark suite focusing on evaluating and enhancing the long-horizon planning capabilities of large language models using Sokoban puzzles."

Commercial Viability Breakdown

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