Henry Peng Zou

No memory substrate is a one-size-fits-all solution; the right choice depends on the task, with broad retrieval boosting QA but hindering decision-making.

Integrating multiple acoustic sources is essential for LALMs, yet current benchmarks miss this crucial aspect, revealing a significant gap in audio understanding evaluation.

AP-GRPO reveals that leveraging reliable speech anchors can significantly enhance the reconstruction of distorted speech, adapting to the severity of neurodegenerative conditions.

LLM agents can now autonomously generate complex skills with multi-file dependencies, rivaling human-authored skills, thanks to a co-evolutionary verification process that doesn't need ground truth labels.

Even state-of-the-art LLMs struggle to adapt to mid-task changes in long-horizon web navigation, highlighting a critical gap in their ability to handle realistic user interactions.

Diffusion language models can achieve better reasoning performance by explicitly balancing generation quality and exploration, outperforming methods that prioritize only one.

EpochX tackles the challenge of scaling AI agent collaboration by creating a marketplace where verifiable work leaves behind reusable artifacts, incentivizing durable human-agent partnerships.