Verified86%Harbor: pendingAgentic / Tool UseKnowledge & Reasoning

AgentDecisionBench

AgentDecisionBench AgentDecisionBench is the benchmark of the paper JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs.

How to run

ltb · agentdecisionbench
$ npm i -g lettokenburn-cli
$ ltb bench info agentdecisionbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

2 sourced entries
HarnessSourceConfidenceLink
AgentDecision-4B v124.0N/AIndependentmediumOct 15, 2026arxiv.org
DeepSeek V4 Pro7.2N/AIndependentmediumOct 15, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

AgentDecisionBench

AgentDecisionBench is the benchmark of the paper JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs. Code: github.com/JevAgentHarness/JevAgentHarness (the research code is in its research/ folder). A decision model is a small model that answers a multiple-choice question about an agent's next step, such as "which tool should the agent call next?", with a probability for each option. A harness can hand that choice…