activity
20192025
most citedPerformance Optimization for Federated Person Re-identification via Benchmark Analysis

93 citations · 246 across the 42 of their papers we have counts for

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7 papers · 1 filter

cs.AI2025

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

Wanghan Xu, Yuhao Zhou, Yifan Zhou +104

Despite advances in scientific AI, a coherent framework for Scientific General Intelligence (SGI)-the ability to autonomously conceive, investigate, and reason across scientific do…

cs.AI2025★ 1 cited

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations

Zeyu Xia, Jinzhe Ma, Congjie Zheng +11

Large Language Models (LLMs) are increasingly embedded in agentic frameworks for scientific discovery. First-principles materials computation imposes a demanding standard for auton…

cs.AI2025

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?

Fangchen Yu, Haiyuan Wan, Qianjia Cheng +14

Recently, the physical capabilities of (M)LLMs have garnered increasing attention. However, existing benchmarks for physics suffer from two major gaps: they neither provide systema…

cs.AI2025

Control-R: Towards controllable test-time scaling

Di Zhang, Weida Wang, Junxian Li +10

This paper target in addressing the challenges of underthinking and overthinking in long chain-of-thought (CoT) reasoning for Large Reasoning Models (LRMs) by introducing Reasoning…

cs.AI2024★ 3 cited

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Di Zhang, Jianbo Wu, Jingdi Lei +9

This paper presents an advanced mathematical problem-solving framework, LLaMA-Berry, for enhancing the mathematical reasoning ability of Large Language Models (LLMs). The framework…

cs.AI2024★ 7 cited

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Di Zhang, Xiaoshui Huang, Dongzhan Zhou +2

This paper introduces the MCT Self-Refine (MCTSr) algorithm, an innovative integration of Large Language Models (LLMs) with Monte Carlo Tree Search (MCTS), designed to enhance perf…

cs.AI2024★ 46 cited

ChemLLM: A Chemical Large Language Model

Di Zhang, Wei Liu, Qian Tan +12

Large language models (LLMs) have made impressive progress in chemistry applications. However, the community lacks an LLM specifically designed for chemistry. The main challenges a…