Researchers have developed an automated approach to designing feature extractors for constraint satisfaction problems. This method uses large language...
Researchers evaluated five widely used benchmark suites on 26 open-source small language models to determine their effectiveness in assessing safety. ...
Researchers have developed a new defense mechanism called 'Fool's Gold' to protect open-weight language models from safety-removal attacks. These atta...
Researchers have developed an audit protocol to test the performance of personalized agents in decision-making tasks. They created a synthetic develop...
Researchers proposed a new method to evaluate scientific hypotheses generated by large language models (LLMs). Instead of relying on LLMs as judges or...
Researchers have introduced ASI-Bench, a new benchmark designed to evaluate the capabilities of artificial intelligence systems in exploring the unkno...
A new AI framework called DeAR (Decentralized Agentic Reasoning) has been proposed to improve the accuracy of complex reasoning tasks. Unlike traditio...
Researchers have proposed a new method for training large language models (LLMs) called PlanPO. This approach aims to improve the performance of LLMs ...
Researchers have introduced LiveHouse-TS, an open-world living benchmark for Time Series Foundation Models (TSFMs). Unlike traditional benchmarks that...
Researchers have fine-tuned a large language model, called Qwen2.5-3B-Base, to improve its mathematical reasoning capabilities in signal processing pr...
Researchers from the AIMAE Team have introduced Wuying-Browser-Agent, a unified framework for building browser agents that can perform well in real-wo...
Researchers evaluated three large language models for medical consultation and found that they often provide self-care advice before the patient's con...