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Liquid AI Releases d1: A Decision Model That Returns Calibrated Probabilities With Zero Output Tokens

Liquid AI has released d1, a decision model built for structured choices instead of text...

Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning

In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more...

Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together

Model cards report quality under server-class, full-precision conditions. Those numbers rarely predict how the same...

Linkup Research Releases SPARSEUP: A 149M-Parameter Open-Source Sparse Embedding Model

Linkup research team releases SPARSEUP, an open-source learned sparse embedding model. The model runs on...

Link Prediction for Event Logs in the Process Industry

arXiv:2508.09096v2 Announce Type: replace Abstract: In the era of graph-based retrieval-augmented generation (RAG), link prediction...

Like humans, AI is forcing institutions to rethink their purpose

Like people undergoing cognitive migration, institutions must reassess what they were made for in this...

Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-Bench

arXiv:2604.03455v1 Announce Type: cross Abstract: Retrieval-Augmented Generation pipelines span a wide range of retrieval strategies...

LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence

arXiv:2512.04578v1 Announce Type: new Abstract: Legal general intelligence (GI) refers to artificial intelligence (AI) that...

Leveraging Psychophysical Attentional Distribution for Gaze-Augmented Reward Modeling

arXiv:2611.13477v1 Announce Type: cross Abstract: Integrating human feedback into language models has gained increasing attention...

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