Code Implementation of TDS Article "Semi-supervised Intent Classification with GAN-BERT"
Student project regarding out-of-domain text classification methods comparison on CLINC150 dataset.
Cost-aware hybrid router for multi-agent LLM systems: keyword → embedding → LLM cascade. 88.1% accuracy on CLINC150 with 53% fewer LLM calls than full-LLM routing.
Frozen encoder + Mahalanobis prototype for class-incremental intent classification. 50+ experiments across BANKING77, CLINC150, HWU64, AG News. Matches fine-tuned baselines at 5MB state with zero forgetting, order-invariance, 455 QPS.
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