This paper from Fujikawa, Tamura, Akimoto, Haraguchi and Oyamada maps LLM-plus-harness combinations using their action log-likelihoods on shared reference trajectories, so no new rollouts are needed. Across 100 LLMs and four environments, the coordinates p...
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RESEARCH
WATCH
TECHNICAL
Agent Behavior Maps place agents by what they would do, without running them
This paper from Fujikawa, Tamura, Akimoto, Haraguchi and Oyamada maps LLM-plus-harness combinations using their action log-likelihoods on shared reference trajectories, so no new rollouts are needed. Across 100 LLMs and four environments, the coordinates p...
This paper from Fujikawa, Tamura, Akimoto, Haraguchi and Oyamada maps LLM-plus-harness combinations using their action log-likelihoods on shared reference trajectories, so no new rollouts are needed. Across 100 LLMs and four environments, the coordinates predict performance and reveal behavioral similarities that...
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Signal Strength 88%
Technical label WATCH
Public Interest 30
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 0
Novelty Interest Score 94
Consequence Score 34
Curiosity Score 16
Shareability Score 45
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