Unverified50% confidenceBenchmarkExact time
The paper conducted experiments on two tasks, a synthetic label-efficient prediction game and LLM routing, and E2D.PMSide outperforms previous methods on both tasks.
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50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
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UnverifiedThe paper conducts experiments on two types of scenarios—synthetic target distributions and real posterior distributions—with comparisons against state-of-the-art samplers and control variate methods.72% similarUnverified不同AI模型在不同任务上的表现差异已被SWE-bench、HumanEval、MBPP等基准测试证实68% similarUnverifiedEarly test results show that DecisionLoop outperforms an LLM Agent built on LangChain with a 12B model in tool-calling accuracy, while also having advantages in cost and latency.68% similarUnverifiedOn synthetic benchmarks, a hyperparameter optimization task and a control task, after introducing the exploration strategy, the final recommendation quality of existing Bayesian optimization algorithms was improved in all cases.67% similarUnverifiedOutcome-aware likelihood comparison evaluates skill utility by computing the log-likelihood of the model reproducing the trajectory under the two conditions of carrying and not carrying the candidate skill, and weighting and comparing the likelihood difference according to the trajectory outcome label.67% similar
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