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Martin Hirzel

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Preprint Aug 2026

PPDL: LLM-Based Flows as Probabilistic Programs

Building reliable applications that leverage large language models (LLMs) remains a significant challenge. While LLMs offer impressive capabilities across diverse tasks, their outputs often lack accuracy and provide no clear measure of confidence. This uncertainty compounds in flows of multiple calls to LLMs and other...

Louis Mandel, Guillaume Baudart, M. Vaziri et al. · 0 citations
Preprint Aug 2026

Online Monitoring and Corrective Steering of Programming Agents

LivePlan decouples judging from advising: a deterministic, rule-based monitor examines general signals over the trajectory to detect issues without invoking an LLM, and only when an issue is detected does it consult an advisor LLM for a high-level, next-step correction.

Shuyang Liu, Saman Dehghan, Ji Young Kim et al. · 1 citation
Preprint Aug 2026

One Recipe, Many Harnesses: What Self-Evolution Encodes Across Languages and Models

Together, these results recast the evolved harness as a legible compensation layer, shaped jointly by the language's engineering demands and the model's behavioral gaps, rather than an opaque benchmark-tuned scaffold.

Siqi Yang, Qianlan Yang, Yu-Xiong Wang et al. · 2 citations

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