Transformers learn to detect invalid planning steps and abort to retry

The authors show that training on invalid transitions with a special abort token enables the model to use previous-node attention and feed-forward layers to flag errors, improving planning reliability.

Big Tech
Shi Feng · Qimin Zhong · Siwei Wang · Yifei Shen · Shang-Hua Teng · Hao Liao · +1 more

Harvard University · Shenzhen University · Microsoft Research Asia · University of Southern California

Research Digest··3 min read
This paper studies how Transformer language models can learn to recognise invalid steps during planning.

The authors extend the ALPINE graph path-finding setup to include invalid transitions.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

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