Research map / Label-efficient and robust learning / Recognition and long-tail
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train mT5 bilingually rather than monolingually | mT5 · BiToD EN | TSR: 69.13 -> 71.18 | Helped |
| Train mT5 bilingually rather than monolingually | mT5 · BiToD ZH | TSR: 53.77 -> 57.24 | Helped |
| Train mBART bilingually rather than monolingually | mBART · BiToD EN | TSR: 56.00 -> 42.45 | Hurt |
| Train mBART bilingually rather than monolingually | mBART · BiToD ZH | TSR: 56.82 -> 40.39 | Hurt |
| Add source-language pre-training before target-language fine-tuning | mT5 cross-lingual transfer · BiToD ZH → EN (10%) | TSR: 6.78 -> 44.94 | Helped |
| Add mixed-language pre-training using bilingual KB entity counterparts | mT5 cross-lingual transfer · BiToD ZH → EN (10%) | JGA: 48.77 -> 58.31 | Helped |
| Add mixed-language pre-training using bilingual KB entity counterparts | mT5 cross-lingual transfer · BiToD EN → ZH (10%) | JGA: 51.40 -> 55.05 | Helped |
| Add mixed-language pre-training instead of source-language pre-training | mT5 cross-lingual transfer · BiToD ZH → EN (10%) | BLEU: 29.53 -> 32.43 | Helped |
| Add mixed-language pre-training instead of source-language pre-training | mT5 cross-lingual transfer · BiToD EN → ZH (10%) | API_Acc: 49.70 -> 50.55 | Helped |
Closest papers by meaning
- MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation (NeurIPS 2026 · similarity 0.87)
- SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words (NeurIPS 2024 · similarity 0.87)
- Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge (AAAI 2024 · similarity 0.86)
- From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue (AAAI 2024 · similarity 0.86)
- A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators (AAAI 2024 · similarity 0.86)
- ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models (ICLR 2025 · similarity 0.85)
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