Papers by Anna Marshalova
Call, Reward, Repeat: Advancing Dialog State Tracking with GRPO and Function Calling (2026.eacl-srw)
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| Challenge: | Recent advances in Large Language Models (LLMs) have notably enhanced task-oriented dialogue systems, particularly in Dialogue State Tracking (DST). |
| Approach: | They propose a group-relative policy optimization method that guides LLMs toward improved DST accuracy even under low-resource conditions. |
| Outcome: | The proposed method improves on established DST benchmarks while using significantly reduced out-of-domain training data. |