Summary of Unlearning Backdoor Attacks For Llms with Weak-to-strong Knowledge Distillation, by Shuai Zhao et al.
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillationby Shuai Zhao, Xiaobao Wu, Cong-Duy Nguyen,…
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillationby Shuai Zhao, Xiaobao Wu, Cong-Duy Nguyen,…
Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphsby Lei Sun,…
Vector-ICL: In-context Learning with Continuous Vector Representationsby Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang,…
Comparing zero-shot self-explanations with human rationales in text classificationby Stephanie Brandl, Oliver EberleFirst submitted to…
Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Languageby Vincent Beliveau,…
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classificationby Ximing Wen, Wenjuan Tan,…
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Scienceby Menglin Liu, Ge ShiFirst…
Text classification optimization algorithm based on graph neural networkby Erdi Gao, Haowei Yang, Dan Sun,…
Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settingsby Lingyu GaoFirst…
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Modelsby Yige Li, Hanxun Huang,…