Trending research and the full catalog - each paper linked to the benchmarks, methods, and models it introduces.
1 May 2026
Large language models are increasingly used in K-12 education, but existing benchmarks mainly test exam question answering rather than understanding how curriculum knowledge is structured and visually presented. We call this capability curriculum cognition.
Boris Knyazev, Ali Parviz, Saurav Jha et al. · 6 Apr 2026
Mixture-of-Experts (MoE) large language models (LLMs) are among the top-performing architectures.
Bin Wang, Dongsheng Ma, Wentao Zhang et al. · 13 May 2026
CiteVQA introduces a benchmark for document vision-language models that evaluates both answer accuracy and correct citation of supporting evidence, revealing significant attribution hallucinations in current models.
27 Jul 2026
Multimodal large language models (MLLMs) hold immense potential to revolutionize clinical practice, yet deploying them in the medical domain is fundamentally a vision-centric challenge: models must absorb knowledge from heterogeneous 2D and 3D medical images, and evaluation…
17 Aug 2026
Methods for improving knowledge use in large language models typically fall into two regimes. Non-parametric retrieval offers flexible access to external knowledge, but adds retrieval latency, context overhead, and only shallow integration with the backbone.