…Across 17 models in Chinese and an 8-model intersection over four languages, we find: (i) the best system reaches only 2.083 on the 0--3 rubric, leaving substantial headroom; (ii…
…These results demonstrate FAAST as a highly efficient, scalable solution for supervised task adaptation , particularly for resource-constrained models. We release the code and models at https://github.com/baoguangsheng/faast. View…
…AI-generated summary Large language models are increasingly used in scientific writing, yet they can fabricate citation-shaped references that appear plausible but fail bibliographic verification. Existing detectors often reduce verification to…
…Right now, uploading the model to HuggingFace costs a good amount in egress which sometimes causes us to not release resources like intermediate checkpoints for our models due to cost. I'm…
…The authors release the dataset and code on Hugging Face and GitHub to create a reproducible benchmark for evaluating next-generation behavioral fingerprinting and security models View arXiv page View PDF Project…
…https://github.com/thu-ml/Causal-Forcing We release 2-step frame-wise AR model with 50% latency and even better quality compared to 4-step chunk-wise models! This is an…
…After training on this corpus, our Phi-Ground-Any-4B outperforms open-source models with fewer than 32B parameters. We will release our benchmark, data, code, and models at https://github.com…
…Built on this foundation, AnalogRetriever encodes schematics and descriptions with a vision-language model and netlists with a port-aware relational graph convolutional network , mapping all three modalities into a shared embedding…
…PianoCoRe is released in tiered subsets to support different applications: from large-scale analysis and pre-training (PianoCoRe-C and deduplicated PianoCoRe-B) to expressive performance modeling with note-level score alignment…
…These results demonstrate that robust panoramic reasoning requires dedicated pano-native supervision and geometry-aware model adaptation. All source code and proposed data will be publicly released. View arXiv page View PDF…