ICLR 2025 "prompt engineering" Papers
8 papers found
Ask, and it shall be given: On the Turing completeness of prompting
Ruizhong Qiu, Zhe Xu, Wenxuan Bao et al.
ICLR 2025posterarXiv:2411.01992
5
citations
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh et al.
ICLR 2025posterarXiv:2403.06833
45
citations
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
Aiwei Liu, Sheng Guan, Yiming Liu et al.
ICLR 2025posterarXiv:2410.03168
12
citations
Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control
Sunguk Shin, Youngjoon Kim
ICLR 2025poster
3
citations
Fantastic Copyrighted Beasts and How (Not) to Generate Them
Luxi He, Yangsibo Huang, Weijia Shi et al.
ICLR 2025posterarXiv:2406.14526
23
citations
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky, Andrei Atanov, Yulun Jiang et al.
ICLR 2025posterarXiv:2504.02349
3
citations
Pareto Prompt Optimization
Guang Zhao, Byung-Jun Yoon, Gilchan Park et al.
ICLR 2025poster
1
citations
ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
Hao Di, Tong He, Haishan Ye et al.
ICLR 2025poster
2
citations