Prompt Engineer
All authors
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems (AI summary)
Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Read more
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives (AI summary)
Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker
Read more
Adaptable Logical Control for Large Language Models (AI summary)
Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
Read more
Agentless: Demystifying LLM-based Software Engineering Agents (AI summary)
Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, Lingming Zhang
Read more
Self-Evaluation as a Defense Against Adversarial Attacks on LLMs (AI summary)
Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh
Read more
Scaling Synthetic Data Creation with 1,000,000,000 Personas (AI summary)
Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, Dong Yu
Read more
Searching for Best Practices in Retrieval-Augmented Generation (AI summary)
Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
Read moreAdam-mini: Use Fewer Learning Rates To Gain More (AI summary)
Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
Read more
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Surve (AI summary)
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
Read more
Following Length Constraints in Instructions (AI summary)
Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
Read more