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 more

Adam-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
×