collaborators

14 papers

cs.CL2026

Kimi K3: Open Frontier Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +398

We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…

cs.CR2026

SelPE: Progressive Selection for Private Structured Text Synthesis

Xuancheng Zhu, Guoshun Nan, Han Zhang +6

Many data-driven applications rely on structured textual records, such as clinical triage notes and financial transaction logs, for downstream learning and decision-making. In priv…

cs.AI2026

AutoRAS: Learning Robust Agentic Systems with Primitive Representations

Yang Yue, Xuancheng Zhu, Yuyang Ma +7

The automated design of agentic systems offers a promising pathway for scaling large language models (LLMs) beyond single-agent reasoning. While prior work has advanced task perfor…

cs.AI2026

Can LLM Agents Sustain Long-Horizon Organizational Dynamics?

Xuancheng Zhu, Yang Yue, Shuaibing Wan +4

Large language agents are increasingly used for social simulation, yet it remains unclear whether they can sustain coherent behavior in structured organizations, where goals must p…

cs.CR2026

CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability

Xianzhen Luo, Jingyuan Zhang, Shiqi Zhou +8

Evaluating and improving the security capabilities of code agents requires high-quality, executable vulnerability tasks. However, existing works rely on costly, unscalable manual r…

cs.SE2026

WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing

Fanheng Kong, Jingyuan Zhang, Yang Yue +10

The emergence of Large Language Models (LLMs) has catalyzed a paradigm shift in programming, giving rise to "vibe coding", where users can build complete projects and even control…