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Home/Authors/Yang Feng

Yang Feng

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

NLP×2AI×2Audio and Speech Processing×1Crypto×1Software Eng.×1

Frequent co-authors

Zongsheng Cao2×
Jinxin Shi2×
Tianshuo Peng2×
Shiyang Feng2×
Xiangchao Yan2×
Jie Zhou2×

Research Timeline

2026
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection

The paper introduces ARGUS, a defense mechanism that uses provenance-aware decision auditing to protect LLM agents from sophisticated, context-aware prompt injection attacks, significantly reducing the attack success rate.

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

MLEvolve is a novel self-evolving multi-agent framework that enables LLM agents to discover and optimize machine learning algorithms for complex, long-horizon tasks.

Agents-K1: Towards Agent-native Knowledge Orchestration

This paper introduces Agents-K1, an end-to-end knowledge orchestration pipeline that converts raw documents into agent-native scientific knowledge graphs.

BayLing-Duplex: Native Full-Duplex Speech Dialogue with a Single Autoregressive LLM

This paper introduces BayLing-Duplex, a native full-duplex Speech Language Model that decides when to listen, speak, and stop without relying on an external Voice Activity Detection module.

Highlighted terms show continued research focus across papers

Papers

cs.CLeess.ASEmpiricalRecentJun 12, 2026

BayLing-Duplex: Native Full-Duplex Speech Dialogue with a Single Autoregressive LLM

Qingkai Fang, Shoutao Guo, Yang Feng

This paper introduces BayLing-Duplex, a native full-duplex Speech Language Model that decides when to listen, speak, and stop without relying on an external Voice Activity Detection module.

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cs.AIEmpirical
Recent
Jun 11, 2026

Agents-K1: Towards Agent-native Knowledge Orchestration

Zongsheng Cao, Bihao Zhan, Jinxin Shi, Jiong Wang +21 more

This paper introduces Agents-K1, an end-to-end knowledge orchestration pipeline that converts raw documents into agent-native scientific knowledge graphs.

View →
cs.AIcs.CLRecentJun 4, 2026

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Shangheng Du, Xiangchao Yan, Jinxin Shi, Zongsheng Cao +10 more

MLEvolve is a novel self-evolving multi-agent framework that enables LLM agents to discover and optimize machine learning algorithms for complex, long-horizon tasks.

View →
cs.CRcs.SERecentMay 5, 2026

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection

Shihao Weng, Yang Feng, Jinrui Zhang, Xiaofei Xie +2 more

The paper introduces ARGUS, a defense mechanism that uses provenance-aware decision auditing to protect LLM agents from sophisticated, context-aware prompt injection attacks, significantly reducing th…

View →