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Liangxin Liu

2 accepted papers

2024

Curriculum Consistency Learning for Conditional Sentence Generation

EMNLP 2024main

Consistency learning (CL) has proven to be a valuable technique for improving the robustness of models in conditional sentence generation (CSG) tasks by ensuring stable predictions across various input data forms. However, models augmented with CL often face challenges in optimizing consistency feat…

2024

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection

NeurIPS 2024poster

Instruction tuning (IT) is crucial to tailoring large language models (LLMs) towards human-centric interactions. Recent advancements have shown that the careful selection of a small, high-quality subset of IT data can significantly enhance the performance of LLMs. Despite this, common approaches of…