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Found 4 papers, 2 papers with code
Aligning Language Models Using Follow-up Likelihood as Reward Signal
Building upon the FLR mechanism, we propose to automatically mine preference data from the online generations of a base policy model.
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
The effectiveness of large language models (LLMs) is often hindered by duplicated data in their extensive pre-training datasets.
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
This automatic mining process is efficiently accomplished through the collaboration between a large-scale teacher model and a small-scale student model.
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
The English dialogue data are extended to nine other languages with commercial machine translation systems.
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