HazardAuditor: From Executable Threats to Safer Computer-Use Agents
Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introducing ...
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Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introducing ...
Digital agents must often adapt to new environments whose interfaces, tools, and failure modes are not fully captured...
Interactive video world models must maintain broad scene context under camera motion while producing high-fidelity ob...
We report a multi-month engineering program to build Sophea, a production bilingual Greek-English automatic speech re...
The KV cache is a primary bottleneck for Transformer decoding: its memory footprint and cache-read traffic grow with ...
Reinforcement learning with verifiable rewards is typically performed on-policy, keeping training data close to the c...
Reinforcement learning (RL) has become central to post-training of large language models. Recent advances in RL for M...
Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without g...
Visual goal and dynamics prediction can provide language-conditioned robot policies with both a target outcome and a ...
We investigate what makes synthetic OCR supervision transfer to real Thai documents and use the resulting insights to...
In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly i...
Data policies for reinforcement learning with verifiable rewards (RLVR) determine which rollouts are used, how strong...