Poster "prompt engineering" Papers
15 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
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
Hyunsoo Kim, Donghyun Kim, Suhyun Kim
CVPR 2025posterarXiv:2506.07750
1
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
No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization
Wenhang Shi, Yiren Chen, Shuqing Bian et al.
NeurIPS 2025posterarXiv:2509.23387
Quantifying Elicitation of Latent Capabilities in Language Models
Elizabeth Donoway, Hailey Joren, Arushi Somani et al.
NeurIPS 2025poster
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
Kevin Miller, Aditya Gangrade, Samarth Mishra et al.
CVPR 2025posterarXiv:2502.16911
1
citations
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
Kailas Vodrahalli, James Zou
ICML 2024poster
GPTSwarm: Language Agents as Optimizable Graphs
Mingchen Zhuge, Wenyi Wang, Louis Kirsch et al.
ICML 2024poster
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu, Haotian Ye, Lei Xing et al.
ICML 2024poster
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
Lichang Chen, Jiuhai Chen, Tom Goldstein et al.
ICML 2024poster
LLMGA: Multimodal Large Language Model based Generation Assistant
Bin Xia, Shiyin Wang, Yingfan Tao et al.
ECCV 2024posterarXiv:2311.16500
25
citations
Position: Towards Implicit Prompt For Text-To-Image Models
Yue Yang, Yuqi Lin, Hong Liu et al.
ICML 2024poster
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
ICML 2024poster