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📄 Automatic Prompt

Paper List

CodeFusion: A Pre-trained Diffusion Model for Code Generation2023.10.26

Mukul Singh, J. Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, etc


GraphGPT: Graph Instruction Tuning for Large Language Models2023.10.19

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, etc . - 【arXiv.org】


OpenAgents: An Open Platform for Language Agents in the Wild2023.10.16

Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, etc . - 【arXiv.org】


MemGPT: Towards LLMs as Operating Systems2023.10.12

Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, etc


LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models2023.09.21

Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, etc . - 【arXiv.org】


AgentBench: Evaluating LLMs as Agents2023.08.07

Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, etc . - 【arXiv.org】


Transferring Visual Attributes from Natural Language to Verified Image Generation2023.05.24

Rodrigo Valerio, Joao Bordalo, Michal Yarom, Yonattan Bitton, Idan Szpektor, etc


Universal Self-adaptive Prompting2023.05.24

Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, etc


Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker2023.05.23

Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Jong C. Park


Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement2023.05.23

Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, etc


Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes2023.05.22

Kuan-Hao Huang, L Tan, Rui Hou, Sinong Wang, Amjad Almahairi, etc


Automated Few-shot Classification with Instruction-Finetuned Language Models2023.05.21

Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, A. Wilson


AutoTrial: Prompting Language Models for Clinical Trial Design2023.05.19

Zifeng Wang, Cao Xiao, Jimeng Sun . - 【arXiv.org】


Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency2023.05.18

Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi . - 【arXiv.org】


Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt2023.05.17

Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, etc . - 【arXiv.org】


Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data2023.02.24

Kashun Shum, Shizhe Diao, Tong Zhang . - 【ArXiv】


Guiding Large Language Models via Directional Stimulus Prompting2023.02.22

Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, etc . - 【ArXiv】


Evaluating the Robustness of Discrete Prompts2023.02.11

Yoichi Ishibashi, D. Bollegala, Katsuhito Sudoh, Satoshi Nakamura . - 【ArXiv】


Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery2023.02.07

Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, etc . - 【ArXiv】


Ask Me Anything: A simple strategy for prompting language models2022.10.05

Simran Arora, A. Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, etc . - 【ArXiv】


STaR: Bootstrapping Reasoning With Reasoning2022.03.28

E. Zelikman, Yuhuai Wu, Noah D. Goodman . - 【ArXiv】


Making Pre-trained Language Models Better Few-shot Learners2021.01.01

Tianyu Gao, Adam Fisch, Danqi Chen . - 【Annual Meeting of the Association for Computational Linguistics】


Eliciting Knowledge from Language Models Using Automatically Generated Prompts2020.10.29

Taylor Shin, Yasaman Razeghi, Robert L Logan IV, Eric Wallace, Sameer Singh . - 【Conference on Empirical Methods in Natural Language Processing】


Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification2020.10.26

Timo Schick, Helmut Schmid, Hinrich Schütze . - 【International Conference on Computational Linguistics】

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