A new economic model has been proposed for a world where artificial general intelligence (AGI) is prevalent. In this scenario, corporations own popula...
Researchers have developed a new post-training framework called IAR (Inject, Align, and Recover) to improve large language models' ability to answer q...
Researchers have developed a method called Task Model Induction (TMI) to derive symbolic models of how everyday work is done from computer-use traces....
Researchers have developed a new AI system called G-CARL for interpreting medical reports in a way that's tailored to individual patients' needs. The ...
Researchers have proposed a new framework called MAPPS (Materials Agent unifying Planning, Physics, and Scientists) to improve the autonomy of languag...
Researchers have developed GridCodex, an AI framework for interpreting and complying with complex grid codes that regulate electricity operations. Gri...
Researchers from Poland conducted a study on whether large language models (LLMs) can assist in the analysis of clinical life-story interviews with pa...
A pilot study examined the use and perception of generative AI in three undergraduate mathematics courses. Students were allowed to use AI tools, and ...
Researchers have developed ATBench, a new benchmark for evaluating the safety of language models. The benchmark includes 1,000 trajectories with varyi...
Researchers have developed a tool called CharTool that helps large language models better understand charts and graphs. The tool integrates with exter...
Researchers propose a new API paradigm for enterprise AI agent systems called Agent-First Tool API. The current APIs used in AI research are based on ...
Researchers have studied how distracting information affects the performance of large language models in tasks that require long context. They found a...