CodeFusion: A Pre-trained Diffusion Model for Code Generation (2023.10.26)
Mukul Singh, J. Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, etc
GraphGPT: Graph Instruction Tuning for Large Language Models (2023.10.19)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, etc . - 【arXiv.org】
OpenAgents: An Open Platform for Language Agents in the Wild (2023.10.16)
Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, etc . - 【arXiv.org】
MemGPT: Towards LLMs as Operating Systems (2023.10.12)
Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, etc
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models (2023.09.21)
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, etc . - 【arXiv.org】
AgentBench: Evaluating LLMs as Agents (2023.08.07)
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, etc . - 【arXiv.org】
Transferring Visual Attributes from Natural Language to Verified Image Generation (2023.05.24)
Rodrigo Valerio, Joao Bordalo, Michal Yarom, Yonattan Bitton, Idan Szpektor, etc
Universal Self-adaptive Prompting (2023.05.24)
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, etc
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker (2023.05.23)
Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Jong C. Park
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement (2023.05.23)
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, etc
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes (2023.05.22)
Kuan-Hao Huang, L Tan, Rui Hou, Sinong Wang, Amjad Almahairi, etc
Automated Few-shot Classification with Instruction-Finetuned Language Models (2023.05.21)
Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, A. Wilson
AutoTrial: Prompting Language Models for Clinical Trial Design (2023.05.19)
Zifeng Wang, Cao Xiao, Jimeng Sun . - 【arXiv.org】
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency (2023.05.18)
Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi . - 【arXiv.org】
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt (2023.05.17)
Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, etc . - 【arXiv.org】
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data (2023.02.24)
Kashun Shum, Shizhe Diao, Tong Zhang . - 【ArXiv】
Guiding Large Language Models via Directional Stimulus Prompting (2023.02.22)
Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, etc . - 【ArXiv】
Evaluating the Robustness of Discrete Prompts (2023.02.11)
Yoichi Ishibashi, D. Bollegala, Katsuhito Sudoh, Satoshi Nakamura . - 【ArXiv】
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery (2023.02.07)
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, etc . - 【ArXiv】
Ask Me Anything: A simple strategy for prompting language models (2022.10.05)
Simran Arora, A. Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, etc . - 【ArXiv】
STaR: Bootstrapping Reasoning With Reasoning (2022.03.28)
E. Zelikman, Yuhuai Wu, Noah D. Goodman . - 【ArXiv】
Making Pre-trained Language Models Better Few-shot Learners (2021.01.01)
Tianyu Gao, Adam Fisch, Danqi Chen . - 【Annual Meeting of the Association for Computational Linguistics】
Eliciting Knowledge from Language Models Using Automatically Generated Prompts (2020.10.29)
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 Classification (2020.10.26)
Timo Schick, Helmut Schmid, Hinrich Schütze . - 【International Conference on Computational Linguistics】