Corpus-Grounded Feature Diffusion generates synthetic Traditional Chinese IEP training data from 25 seeds to fine-tune a 7B model that reaches BERTScore F1 0.779 on a 10-sample hold-out, beating several larger zero-shot models.
Automatic instruction evolving for large language models
3 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
3
Pith papers citing it
3
external citations · external index
citation-role summary
background 2
citation-polarity summary
roles
background 2polarities
background 2representative citing papers
Agent-World autonomously synthesizes verifiable real-world tasks and uses continuous self-evolution to train 8B and 14B agents that outperform proprietary models on 23 benchmarks.
A survey that organizes LLMs-as-judges research into functionality, methodology, applications, meta-evaluation, and limitations.
citing papers explorer
-
Automated IEP Generation from Traditional Chinese Parent-Teacher Interviews via Corpus-Grounded Feature Diffusion
Corpus-Grounded Feature Diffusion generates synthetic Traditional Chinese IEP training data from 25 seeds to fine-tune a 7B model that reaches BERTScore F1 0.779 on a 10-sample hold-out, beating several larger zero-shot models.
-
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
Agent-World autonomously synthesizes verifiable real-world tasks and uses continuous self-evolution to train 8B and 14B agents that outperform proprietary models on 23 benchmarks.
-
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
A survey that organizes LLMs-as-judges research into functionality, methodology, applications, meta-evaluation, and limitations.