Cross-Domain, Multi-Task Data-to-Text Generation without In-Domain Training Data

arXiv:2608.23391 · cs.CL, cs.AI · Submitted 2026-08-24 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-24

Updated: 2026-08-25

Code: https://github.com/MeloS7/Cross-Domain-D2T-DDKD

Terminology

• Distillation — 51× in this paper · explained in 2 episodes
• Fine-Tuning — 19× in this paper · explained in 5 episodes
• Knowledge Distillation — 18× in this paper · explained in 11 episodes
• LLM judge — 16× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 12× in this paper · explained in 3 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Knowledge Graph — 10× in this paper · explained in 7 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Aggregation — 8× in this paper · explained in 1 episode
• Consistency — 8× in this paper · explained in 3 episodes
• Data-Driven Knowledge Distillation — 8× in this paper
• Robustness — 7× in this paper · explained in 5 episodes
• Annotator Agreement — 6× in this paper · explained in 1 episode
• Data Augmentation — 6× in this paper · explained in 7 episodes
• Knowledge graphs — 5× in this paper · explained in 2 episodes
• Actor — 4× in this paper · explained in 3 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Inter-Annotator Agreement — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Synthetic Data Generation — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Error Taxonomy — 1× in this paper · explained in 2 episodes
• Exchangeability — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• On-Policy Distillation — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Distilling the Knowledge in a Neural Network
• LoRA: Low-Rank Adaptation of Large Language Models
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• TCube: Domain-Agnostic Neural Time-series Narration
• OpenAI GPT-5 System Card
• Gemma 3 Technical Report
• Knowledge Distillation Meets Self-Supervision
• Qwen3 Technical Report
• MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition
• SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

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