Papers with step-by-step multi-intent recognition

1 papers
ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent (2025.acl-long)

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Challenge: Large Language Models (LLMs) have demonstrated impressive capabilities in language generation and general task performance, but their application to spoken language understanding remains challenging.
Approach: They propose an Entity-level Language Model framework which reformulates slot-filling as an entity recognition task and introduces a new concept, Chain of Intent, to enable step-by-step multi-intent recognition.
Outcome: The proposed framework outperforms strong baselines such as Uni-MIS and achieves gains of 3.7% and 3.1% on MixATIS and MixSNIPS.

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