الباحثون

Mingming Li

المنشورات 2

نسخة أولية وصول مفتوح

How Can Recommendation Feedback Evolve Agent Memory?

Shanwen Mao, Mingming Li, Hao Zhang وآخرون · 2026

Content-generation agents continuously receive impressions, clicks, conversions, and negative feedback from recommendation systems, providing real-world outcome signals for memory evolution. However, these signals are delayed and noisy, confounded by audience composition, placement, and recommendation policies, and may …

نسخة أولية وصول مفتوح

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

DeepSeek-AI, Anyi Xu, B. Li وآخرون · 2026

The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transfer bandwidth. Togeth …

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