6 billion to 2 billion parameters, on 200 real remote-sensing satellite tasks.
Hard decoding constraints improve small models’ tool use at the edge
The framework forces an initial planning call and restricts tool-name generation without retraining the underlying model.
Top University
Shanghai Jiao Tong University · Shanghai Landfun Information Technology
Research Digest··2 min read
Yu, Mu and Wu introduce PTC-Decoder, an inference-time framework for small language model agents operating offline under tight memory constraints.
Why this paper
From Shanghai Jiao Tong University and Shanghai Landfun Information Technology
In one line
Forcing SLMs to output plan and tool names through decoding constraints improves multi-step agent task reliability on edge devices.
What we could check
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- ✓Limitations stated by the authors (2 noted)
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