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As text-to-image generative models advance, they raise critical safety concerns, particularly the generation of Not-S...
Latent video generation relies on autoencoders to define a compact space in which generative models operate. Although...
This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-sourc...
Large language models (LLMs) are increasingly used as synthetic survey respondents, but existing evaluations ask whet...
Per-field accept/review with selective risk at most alpha -- accept a field only if the error rate among accepted fie...
Streaming video understanding demands direct responses from the causally observed prefix of an unfolding video. Exist...
Long-horizon agents can fail even when their underlying models can solve the constituent steps. They may lose track o...
Multimodal large language models increasingly use visual chain-of-thought (Visual CoT) to reason about spatial, tempo...
Multiple-choice benchmarks are widely used to evaluate large language models, but MCQ scores conflate knowledge with ...
Frontier large language models (LLMs) safety evaluation has largely treated harmful generation as an attack outcome r...
We study how teams of AI coding agents coordinate while solving programming tasks. Current evaluations usually report...
Sign language serves as a vital means of communication for individuals with hearing impairments, yet recognition reso...