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Home/Authors/Youyong Kong

Youyong Kong

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×2Multiagent×1

Frequent co-authors

Weihuang Zheng1×
Tianyuan Zou1×
Eileen Ye1×
Alphet Liu1×
Ya-Qin Zhang1×
Duran Zheng1×

Research Timeline

2026
ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment

The paper introduces ForeSci, a novel benchmark that evaluates LLM agents' ability to make forward-looking research judgments using only historical evidence, finding that explicit evidence organization improves performance but agents often decouple evidence from correct predictions.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis

This paper proposes BrainAgent, an agentic LLM framework for knowledge-enhanced brain network analysis, which improves performance and produces more comprehensive, multi-level, and verifiable explanations.

E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios

The paper introduces E-Bench, a synthetic benchmark for evaluating multi-step tool use in Large Language Models across three product domains.

Highlighted terms show continued research focus across papers

Papers

cs.AIEmpiricalRecentJul 26, 2026

E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios

Weihuang Zheng, Tianyuan Zou, Eileen Ye, Alphet Liu +4 more

The paper introduces E-Bench, a synthetic benchmark for evaluating multi-step tool use in Large Language Models across three product domains.

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cs.MAEmpiricalRecent
Jul 24, 2026

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis

Jiaxing Li, Rui Dong, Muyao Tang, Youyong Kong

This paper proposes BrainAgent, an agentic LLM framework for knowledge-enhanced brain network analysis, which improves performance and produces more comprehensive, multi-level, and verifiable explanat…

View →
cs.AIRecentMay 30, 2026

ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment

Qiuyu Tian, Zequn Liu, Yingce Xia, Haojie Yin +1 more

The paper introduces ForeSci, a novel benchmark that evaluates LLM agents' ability to make forward-looking research judgments using only historical evidence, finding that explicit evidence organizatio…

View →