Research map / Label-efficient and robust learning / Knowledge distillation
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add dialogue attribute learning with attribute-specific training subsets (ablation) | CDL · DailyDialog | Dist-1: 0.0177 -> 0.0252 | Helped |
| Add orthogonal projection (ablation) | CDL · DailyDialog | Dist-1: 0.0203 -> 0.0252 | Helped |
| Add hidden-state negative distillation (ablation) | CDL · DailyDialog | Dist-1: 0.0222 -> 0.0252 | Helped |
| Add negative distillation (ablation) | CDL · DailyDialog | Dist-1: 0.0215 -> 0.0252 | Helped |
| Use attribute-aware collaborative learning instead of the strongest listed collaborative baseline | CDL-IS vs. CL-ILR · DailyDialog | Dist-2: 0.0686 -> 0.1081 | Helped |
| Use attribute-aware collaborative learning instead of the strongest listed collaborative baseline | CDL-CI vs. CL-ILR · OpenSubtitles | Dist-2: 0.0179 -> 0.0239 | Helped |
| Increase branch count from 3 to 4 | CDL · DailyDialog | Dist-1: 0.0252 -> 0.0211 | Mixed |
Closest papers by meaning
- Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation (AAAI 2021 · similarity 0.90)
- A Kernel Perspective on Distillation-based Collaborative Learning (NeurIPS 2024 · similarity 0.85)
- DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models (ICML 2025 · similarity 0.84)
- DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024 · similarity 0.84)
- TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models (ICLR 2025 · similarity 0.84)
- Cooperative Knowledge Distillation: A Learner Agnostic Approach (AAAI 2024 · similarity 0.84)
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