activity
20242026
collaborators

10 papers

cs.AI2026

AgentOrchestra: Orchestrating Multi-Agent Intelligence with the Tool-Environment-Agent(TEA) Protocol

Wentao Zhang, Liang Zeng, Yuzhen Xiao +7

Recent advances in LLM-based agent systems have shown promise on complex, long-horizon tasks, but existing agent protocols (e.g., A2A and MCP) do not adequately support lifecycle-a…

q-fin.TR2026

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models

Wentao Zhang, Mingxuan Zhao, Jincheng Gao +5

The rapid advancement of Large Language Models (LLMs) has led to a surge of financial benchmarks, evolving from static knowledge evaluation toward interactive trading simulations.…

cs.AI2026

XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition

Gong Zhiren, Tiantong Wu, Jiaming Zhang +9

Large Language Models (LLMs) are increasingly deployed for knowledge synthesis, yet their capacity for compositional generalization in scientific knowledge remains under-characteri…

cs.CV2026

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence

Xinyu Yan, Boyang Chen, Jiaming Zhang +12

Artificial Intelligence (AI)-generated images have become increasingly realistic and readily adaptable to concrete real-world claims, creating new challenges for verifying visual e…

cs.SE2026

EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems

Wentao Zhang, Jianfeng Wang, Liheng Liang +3

As large language models (LLMs) continue to advance in programming tasks, LLM-driven coding systems have evolved from one-shot code generation into complex systems capable of itera…

cs.AI2026

Advancing ESG Intelligence: An Expert-level Agent and Comprehensive Benchmark for Sustainable Finance

Yilei Zhao, Wentao Zhang, Lei Xiao +3

Environmental, social, and governance (ESG) criteria are essential for evaluating corporate sustainability and ethical performance. However, professional ESG analysis is hindered b…