activity
20232026
most citedEvaluating the Performance of Large Language Models on GAOKAO Benchmark

19 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DS2026

Beyond a Single Queue: Multi-Level-Multi-Queue as an Effective Design for SSSP problems on GPUs

Zhengding Hu, Jingwen Sun, Le Jiang +4

As one of the most fundamental problems in graph processing, the Single-Source Shortest Path (SSSP) problem plays a critical role in numerous application scenarios. However, existi…

cs.AI2026

TangramSR: Can Vision-Language Models Reason in Continuous Geometric Space?

Yikun Zong, Cheston Tan

Humans excel at spatial reasoning tasks like Tangram puzzle assembly through cognitive processes involving mental rotation, iterative refinement, and visual feedback. Inspired by h…

cs.CL2025★ 6 cited

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons

Renjun Hu, Yi Cheng, Libin Meng +4

The rapid advancement of large language models (LLMs) has opened new possibilities for their adoption as evaluative judges. This paper introduces Themis, a fine-tuned LLM judge tha…

cs.CL2024

GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation

Yi Zong, Xipeng Qiu

The Large Vision-Language Models (LVLMs) have demonstrated great abilities in image perception and language understanding. However, existing multimodal benchmarks focus on primary…

cs.CL2023★ 19 cited

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Xiaotian Zhang, Chunyang Li, Yi Zong +12

Large Language Models(LLMs) have demonstrated remarkable performance across various natural language processing tasks; however, how to comprehensively and accurately assess their p…