Summary of How Susceptible Are Llms to Influence in Prompts?, by Sotiris Anagnostidis et al.
How Susceptible are LLMs to Influence in Prompts?by Sotiris Anagnostidis, Jannis BulianFirst submitted to arxiv…
How Susceptible are LLMs to Influence in Prompts?by Sotiris Anagnostidis, Jannis BulianFirst submitted to arxiv…
Tabular Transfer Learning via Prompting LLMsby Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack,…
Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functionsby Jinxin Liu,…
GACL: Graph Attention Collaborative Learning for Temporal QoS Predictionby Shengxiang Hu, Guobing Zou, Bofeng Zhang,…
In-Context Learning with Representations: Contextual Generalization of Trained Transformersby Tong Yang, Yu Huang, Yingbin Liang,…
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Modelsby Tianyu Zhang, Yuxiang…
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendationby Ching-Wen Yang, Che Wei…
Selective Prompt Anchoring for Code Generationby Yuan Tian, Tianyi ZhangFirst submitted to arxiv on: 17…
Beam Prediction based on Large Language Modelsby Yucheng Sheng, Kai Huang, Le Liang, Peng Liu,…
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysisby Nimeesha Chan, Felix Parker, William Bennett,…