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Dong-Ting Li

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#artificial intelligence Review Sep 2026

ControlScope: Workflow Revision and Reliability in LLM Agents

How much of a running workflow should a language model agent revise? ControlScope compares continuing generated code, editing the next tool call's data arguments, and replacing the unfinished workflow from the same public execution state. The nested permissions separate available repairs from the actions an agent selec...

Jing-Jie Ning, Xue-Qi Li, Yi-Bo Kong et al. · 0 citations
#artificial intelligence Preprint Sep 2026

WhatWorkedBench: Benchmarking Experimental Understanding in AI Agents

AI research agents must predict the effects of computational changes after budgeted experiments. WhatWorkedBench evaluates this experimental understanding through a delivered response surface of configuration scores. Agents inspect workflow code and buy measurements; exhaustive CPU references score conditional componen...

Jing-Jie Ning, Xue-Qi Li, Yi-Bo Kong et al. · 0 citations
#artificial intelligence Preprint Nov 2023

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration

This work meticulously design a dual-stage pretraining work flow with four dedicated submodels to capture representative dependency agreements at the chunk level, effectively transforming these agreements into embeddings to benefit the pretraining.

Martin Kuo, Jian-Yi Zhang, Dong-Ting Li et al. · 2 citations

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