38 citations · 49 across the 7 of their papers we have counts for
5 papers · 1 filter
VISPA: Pluralistic Alignment via Automatic Value Selection and Activation
Shenyan Zheng, Jiayou Zhong, Anudeex Shetty +3
As large language models are increasingly used in high-stakes domains, it is essential that their outputs reflect not average} human preference, rather range of varying perspective…
Seed-Coder: Let the Code Model Curate Data for Itself
ByteDance Seed, Yuyu Zhang, Jing Su +24
Code data in large language model (LLM) pretraining is recognized crucial not only for code-related tasks but also for enhancing general intelligence of LLMs. Current open-source L…
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
Shen Zheng, Yuyu Zhang, Yijie Zhu +4
With the rapid advancement of large language models (LLMs), there is a pressing need for a comprehensive evaluation suite to assess their capabilities and limitations. Existing LLM…
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
Hanyin Shao, Jie Huang, Shen Zheng +1
The advancement of large language models (LLMs) brings notable improvements across various applications, while simultaneously raising concerns about potential private data exposure…
Why Does ChatGPT Fall Short in Providing Truthful Answers?
Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
Recent advancements in large language models, such as ChatGPT, have demonstrated significant potential to impact various aspects of human life. However, ChatGPT still faces challen…