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MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
arXiv:2505.15054v3 Announce Type: replace Abstract: Precise recognition, editing, and generation of molecules are essential prerequisites...
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:...
MIT Technology Review’s most popular stories of 2025
It’s been a busy and productive year here at MIT Technology Review. We published magazine...
