Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models

no code implementations • 23 May 2024 • Yiming Chen, Chen Zhang, Danqing Luo, Luis Fernando D'Haro, Robby T. Tan, Haizhou Li

Specifically, inspired by the recent success of large language models (LLMs) in text generation and evaluation, we adopt strong LLMs as both the data generator and gold evaluator.

nlg evaluation Text Generation

CrossTune: Black-Box Few-Shot Classification with Label Enhancement

no code implementations • 19 Mar 2024 • Danqing Luo, Chen Zhang, Yan Zhang, Haizhou Li

Training or finetuning large-scale language models (LLMs) requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptation to downstream tasks.

Few-Shot Text Classification In-Context Learning +2

Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation

no code implementations • 23 May 2023 • Danqing Luo, Chen Zhang, Jiahui Xu, Bin Wang, Yiming Chen, Yan Zhang, Haizhou Li

To achieve this, we treat the black-box model as a feature extractor and train a classifier with the augmented text data.

Data Augmentation Few-Shot Text Classification +2