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Identifying and Answering Questions with False Assumptions: An Interpretable Approach

arXiv:2508.15139v1 Announce Type: new Abstract: People often ask questions with false assumptions, a type of...

IBM AI Team Releases Granite 4.0 Nano Series: Compact and Open-Source Small Models Built for AI at the Edge

Small models are often blocked by poor instruction tuning, weak tool use formats, and missing...

IBM AI Research Releases Two English Granite Embedding Models, Both Based on the ModernBERT Architecture

IBM has quietly built a strong presence in the open-source AI ecosystem, and its latest...

Human-like fleeting memory improves language learning but impairs reading time prediction in transformer language models

arXiv:2508.05803v1 Announce Type: new Abstract: Human memory is fleeting. As words are processed, the exact...

Human-Annotated NER Dataset for the Kyrgyz Language

arXiv:2509.19109v1 Announce Type: new Abstract: We introduce KyrgyzNER, the first manually annotated named entity recognition...

Human-Aligned Faithfulness in Toxicity Explanations of LLMs

arXiv:2506.19113v1 Announce Type: new Abstract: The discourse around toxicity and LLMs in NLP largely revolves...

Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Making

arXiv:2509.19643v1 Announce Type: cross Abstract: Community engagement processes in representative political contexts, like school districts...

Hugging Face Releases SmolVLA: A Compact Vision-Language-Action Model for Affordable and Efficient Robotics

Despite recent progress in robotic control via large-scale vision-language-action (VLA) models, real-world deployment remains constrained...

Huawei CloudMatrix: A Peer-to-Peer AI Datacenter Architecture for Scalable and Efficient LLM Serving

LLMs have rapidly advanced with soaring parameter counts, widespread use of mixture-of-experts (MoE) designs, and...

HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities

AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training...

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