…View arXiv page View PDF Project page GitHub 70 Add to collection Community 🎧👀 Audio-Visual Intelligence in Large Foundation Models: A Comprehensive Survey 📄 arXiv: 2605.04045 We are excited to release what…
…Abstract Reinforcement learning for large language model agents focuses on coordinating team behaviors through orchestration traces that capture spawning, delegation, communication, aggregation, and stopping decisions, identifying key technical axes in reward design…
…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…
…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…
…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…
…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…
…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…
…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…
…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…
…As large language models demonstrate advanced capabilities in reasoning, coding, and engineering tasks, it is increasingly important to understand whether they can discover such methods rather than only apply existing ones. We…