47 citations · 51 across the 10 of their papers we have counts for
4 papers · 1 filter
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
Wenbei Xie, Donglin Liu, Haoran Yan +2
With the development of artificial intelligence (AI), large language models (LLM) are widely used in many fields. However, the reasoning ability of LLM is still very limited when i…
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving
Tao Huang, Pengfei Chen, Kyoka Gong +5
Since the increasing popularity of large language model (LLM) backend systems, it is common and necessary to deploy stable serverless serving of LLM on multi-GPU clusters with auto…
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou, Yutang Ge, Wenyuan Xie +3
Transformers excel in natural language processing and computer vision tasks. However, they still face challenges in generalizing to Out-of-Distribution (OOD) datasets, i.e. data wh…
Yi: Open Foundation Models by 01.AI
01. AI, :, Alex Young +30
We introduce the Yi model family, a series of language and multimodal models that demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and 34B pret…