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Matching papers

StreamEval: Evaluating Interactive Streaming Video Generation Models

292 upvotes · 20 OCT 2026 · StreamEval Team

This paper introduces a benchmark, StreamEval, to evaluate interactive streaming video generation models, which is essential for enabling real-time interaction with generated video in applications like streaming services. Practitioners caring about the development of interactive video generation systems will find this paper useful.

interactive video generationreal-time systemsmultimodal modelsbenchmarkingevaluation metrics

Thinking Inertia: LLMs Keep Thinking When Told Not To

208 upvotes · 8 OCT 2026 · Dianqiao Lei, Kevin Qinghong Lin, Pan Lu et al.

This paper investigates how Large Language Models (LLMs) behave when "told not to think", i.e., when instructed to produce answers without using reasoning. Practitioners might care about understanding how to control this behavior, as it can impact the accuracy of LLMs in certain tasks.

LLMsthinking modescontinual learningevaluation metricsquestion answeringreinforcement learning