Summary of Popalign: Diversifying Contrasting Patterns For a More Comprehensive Alignment, by Zekun Moore Wang et al.
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignmentby Zekun Moore Wang, Shawn Wang, Kang…
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignmentby Zekun Moore Wang, Shawn Wang, Kang…
SPIN: Self-Supervised Prompt INjectionby Leon Zhou, Junfeng Yang, Chengzhi MaoFirst submitted to arxiv on: 17…
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedbackby Zonghai…
Exploring Prompt Engineering: A Systematic Review with SWOT Analysisby Aditi Singh, Abul Ehtesham, Gaurav Kumar…
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuningby Yu-Chen Lin, Wei-Hua Li, Jun-Cheng Chen,…
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoningby Yuanning Cui, Zequn Sun, Wei…
Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstractionby…
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Modelsby Xiao Peng, Liang ChenFirst submitted to…
FlexGen: Flexible Multi-View Generation from Text and Image Inputsby Xinli Xu, Wenhang Ge, Jiantao Lin,…
Generating Synthetic Datasets for Few-shot Prompt Tuningby Xu Guo, Zilin Du, Boyang Li, Chunyan MiaoFirst…