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MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B

This article provides a technical comparison between two recently released Mixture-of-Experts (MoE) transformer models: Alibaba’s...

Modeling and Predicting Multi-Turn Answer Instability in Large Language Models

arXiv:2511.10688v1 Announce Type: new Abstract: As large language models (LLMs) are adopted in an increasingly...

Model Interpretability and Rationale Extraction by Input Mask Optimization

arXiv:2508.11388v1 Announce Type: new Abstract: Concurrent to the rapid progress in the development of neural-network...

Model Context Protocol: A promising AI integration layer, but not a standard (yet)

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a...

Model Context Protocol Explained in 3 Levels of Difficulty

MCP provides a standard way for AI applications and external systems to communicate...

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs

arXiv:2602.23136v2 Announce Type: replace Abstract: Numerous studies have shown that multimodal LLMs process speech and...

MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis

arXiv:2605.00025v1 Announce Type: cross Abstract: Speech neuroprosthesis systems decode intended speech from neural activity in...

Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation

arXiv:2502.00662v2 Announce Type: replace-cross Abstract: Existing vision-language model (VLM)-based methods for out-of-distribution (OOD) detection typically...

MIT’s LEGO: A Compiler for AI Chips that Auto-Generates Fast, Efficient Spatial Accelerators

Table of contents Hardware Generation without Templates Input IR: Affine, Relation-Centric Semantics (Deconstruct) Front End:...

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