… The following papers were recommended by the Semantic Scholar API MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory 2026 Empowering Video Translation using Multimodal Large Language Models 2026 Training Long-Context Vision-Language Models Effectively with Generalization Beyo… …
… View arXiv page View PDF Project page GitHub 24 Add to collection Community Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Get this paper in your agent: hf papers read 2605.12975 Don't have the latest CLI? curl -LsSf https://hf.co/cli/install… …
… Please check your model and dataset." ValueError: The dataset appears to be vision-related contains 'image' or 'images' keys , but the provided model does not seem to be a vision-language model. Please check your model and dataset.
… Get this paper in your agent: hf papers read 2605.05806 Don't have the latest CLI? curl -LsSf https://hf.co/cli/install.sh | bash No model linking this paper Cite arxiv.org/abs/2605.05806 in a model README.md to link it from this page. …
… Is there any documentation to use this model in android device? · It depends on how you intend to use it. If you're creating a knowledge base similar to a RAG, you download the model and use it offline. …
… AI-generated summary Does a lexical retriever suffice as large language models LLMs become more capable in an agentic loop ? …
… The following papers were recommended by the Semantic Scholar API The Detection-Extraction Gap: Models Know the Answer Before They Can Say It 2026 Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces 2026 GCoT-Decoding: Unlocking Deep Reasoning Paths for Univers… …
… View arXiv page View PDF Add to collection Community For questions or model-evaluation requests, contact guijin.son@snu.ac.kr . objective evaluation을 하기에는 class imbalance가 너무 큰게 아닌게 싶네요. the way soohak treats refusal as a first-class signal is a clever move, highlighting a real frontier beyond pure… …
… How exactly is the Qwen/Qwen2.5-Math-RM-72B model used? Is it solely for ranking multiple answers? Can it also serve as a tool to validate whether the answers are correct? Great work ！I have some questions about the values in the performance comparison table. …
… Available Models: Pre-trained tokenizers based on DINOv2, SigLIP2, DINOv3, and MAE backbones! Code & Models are fully open-sourced on HuggingFace and ModelScope. …