activity
20232026
most citedBaichuan 2: Open Large-scale Language Models

127 citations · 128 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.LG2024

Baichuan Alignment Technical Report

Mingan Lin, Fan Yang, Yanjun Shen +21

We introduce Baichuan Alignment, a detailed analysis of the alignment techniques employed in the Baichuan series of models. This represents the industry's first comprehensive accou…

cs.AI2024

Baichuan-Omni Technical Report

Yadong Li, Haoze Sun, Mingan Lin +23

The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpa…

cs.CL2024

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline

Guosheng Dong, Da Pan, Yiding Sun +17

The general capabilities of Large Language Models (LLM) highly rely on the composition and selection on extensive pretraining datasets, treated as commercial secrets by several ins…

cs.CL2024★ 1 cited

SysBench: Can Large Language Models Follow System Messages?

Yanzhao Qin, Tao Zhang, Yanjun Shen +8

Large Language Models (LLMs) have become instrumental across various applications, with the customization of these models to specific scenarios becoming increasingly critical. Syst…

cs.CL2024

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs

Tao Zhang, Chenglin Zhu, Yanjun Shen +10

The adeptness of Large Language Models (LLMs) in comprehending and following natural language instructions is critical for their deployment in sophisticated real-world applications…