Yang Feng
4 indexed papers
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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 is a novel self-evolving multi-agent framework that enables LLM agents to discover and optimize machine learning algorithms for complex, long-horizon tasks.
This paper introduces Agents-K1, an end-to-end knowledge orchestration pipeline that converts raw documents into agent-native scientific knowledge graphs.
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.
Papers
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.