Researchers have proposed a new method called SciUnlearn to remove outdated scientific claims from large language models. These models can spread misi...
Researchers have proposed TreeWY, a method for verifying and rolling back speculative decoding in hybrid models like Gated DeltaNets. This is done by ...
Researchers have developed a new AI model for simulating soft tissue deformation and predicting forces in real-time. The model uses data from silicone...
Researchers have found that large language models can recall stored information by scaling input activations with linear projections. This ability is ...
Researchers have created a benchmark to measure how well AI models can translate their understanding of social situations into coordinated actions. Th...
Researchers have developed a new approach to improving the reliability of large language models (LLMs) that operate over long periods. The method, cal...
Researchers have created a benchmark to evaluate the performance of large language models (LLMs) in interpreting the International Maritime Dangerous ...
Researchers have proposed a new approach to class-incremental learning called Socialized Division and Collaboration (SDC). This method involves decomp...
Researchers have found that the cost of imposing a physics prior in machine learning models is largely dependent on the ablation gap, which measures h...
Researchers have developed a benchmark called CellPath-Bench to evaluate the capabilities of pathology foundation models in representing whole-slide c...
Researchers tested three large language models (LLMs) on a set of Indian contract law cases. The models consistently provided incorrect verdicts with ...
Researchers from various institutions have published a paper titled 'When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge' on arXiv. The s...