Linguistic Monoculture in LLM-Assisted Language Use
Writing and communication are increasingly mediated by large language models (LLMs) that are being used to draft, rev...
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Writing and communication are increasingly mediated by large language models (LLMs) that are being used to draft, rev...
Vision-language-action (VLA) models remain constrained by scarce action-labeled robot data, whereas action-free video...
High-stakes decision systems in credit scoring, fraud detection, healthcare, and industrial safety require reliable u...
CT vision-language foundation models have demonstrated promising performance across downstream tasks, but are typical...
Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing be...
Traditional search systems are optimized to retrieve items that strictly match a query, often prioritizing precision ...
Effective collaboration with novel and diverse partners is a crucial skill for autonomous agents. Most current ad-hoc...
Conversational AI is increasingly positioned as a teammate rather than a tool, yet we know little about how its prese...
We introduce APEX-Accounting, a benchmark built by Mercor in partnership with Ramp, to assess whether frontier models...
Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carr...
Most video editing systems still lack explicit layered video representations, limiting their ability to perform reali...
We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks again...