Author

Shubham Mehrotra

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#machine learning Preprint Sep 2026

Koa-action: Fast and Consistent Structured Decision Making with Generative LLMs

Koa-action is a framework for low-latency atomic actions -- fast, single-step decisions such as classification, semantic endpointing, Boolean checks, and scoring -- formulated as constrained generation with single-token outputs by introducing atomic label tokens and applying supervised fine-tuning.

Sheng-Hong Dai, S. Pentyala, Ying-Chi Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Salesforce Koa: An Enterprise Language Model for Agentic Tool Use

We present Salesforce Koa, an enterprise language model built by post-training the open-weight Nemotron-3-Super-120B foundation model with reinforcement learning using Group Relative Policy Optimization (GRPO). Salesforce Koa is trained on public and synthetically generated data, with no customer data, to improve tool...

Zi-Xiang Chen, Su-Feng Niu, Ying-Chieh Liu et al. · 0 citations