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Scaling transformer language models creates an inherent tension between expressivity and memory efficiency. While uni...
Conversational systems, such as duplex speech language models (SLMs), still lack a streaming, accurate, and empatheti...
Streaming autoregressive diffusion models enable real-time, long-horizon video generation, but their training objecti...
Large vision-language models have shown strong progress in UI-to-code generation, yet their test-time self-evolution ...
Reliable reward models are essential for text-to-video evaluation and alignment. However, the trade-off between evalu...
Multimodal Large Language Models (MLLMs) have shown strong performance in video understanding. However, their ability...
Video generation is progressing beyond isolated clips toward long-form narratives and interactive worlds, requiring m...
Coding agents perform long-running tasks spanning dozens of model calls, tool uses, and code edits. As these runs unf...
Recent work proposes next-chunk reasoning RL for leveraging no-CoT data---corpora such as worked solutions and textbo...
Turn-taking is a basic organizational feature of human conversation and remains difficult to model in natural, synchr...
Document retrieval increasingly supports high-stakes information access in finance, healthcare, and law. Modern retri...
Reliable spatial understanding is an important prerequisite for future medical vision-language systems that aim to su...