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Enxin Song

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@EnxinSong

Evals matter! 🙌
PhD student @Penn
Advised by @thoma_gu
enxinsong.com Joined May 2023
275 Following 449 Followers 55 Posts

Latest posts 5

Enxin Song Verified account @EnxinSong
Awesome FlashState lead by Weili!! A high prefix cache hit rate is critical for efficient real-time agents in the wild. In streaming video interaction, new frames and user queries are appended to the end of the context, and earlier frames stay unchanged. Looking forward to seeing related work on video!
Weili Xu Verified account @_weilix 3d
Introducing FlashState âš¡: an inference system that flexibly manages the prefix cache of hybrid LLMs, designed for agentic workloads.

On GLM 5.3 Flash, FlashState more than doubles vLLM's throughput and provider profit, while cutting latency by 3.7× and user cost by 2.5×.
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Enxin Song Verified account @EnxinSong
Video-Index 1.1 comes! Happy to see agentic video understanding reach higher accuracy with far less context. Letting the model decide what to watch beats feeding it 512 fixed frames. What is the next vision task that is still hard for agents? 🤔
Wenhao Chai Verified account @wenhaocha1 Oct 17
New Blog: Towards the Agentic Era of Video Understanding

For complex tasks, agents have become the default. Nobody uses chat mode for that work anymore: people hand it to Claude Code, Codex or Antigravity (yes sometimes🤣), which open files, run commands and check their own results. We think video understanding should benefit from this too.

So we are releasing Video-Index 1.1 with an agentic evaluation setup (which should be by default!). more in the threads🧵
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Enxin Song Verified account @EnxinSong
Real-time video assistants have to decide when to respond and when to stay silent. Offline scores do not capture this. InteractionBench evaluates this decision for the complete system of model, memory, and response controller, with 1,060 interactions over 812 videos.
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