Noticias
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...
Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models
Liquid AI has released Antidoom, an open-source method that targets a common failure mode in...
Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages
This week, Liquid AI released two new retrieval models. They are LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M. Both...
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 Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
arXiv:2407.03551v2 Announce Type: replace-cross Abstract: The pervasive expectations about ideal body types in Western society...
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability
arXiv:2505.23703v4 Announce Type: replace-cross Abstract: Enhancing the mathematical reasoning capabilities of LLMs has garnered significant...
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
arXiv:2601.08682v1 Announce Type: new Abstract: Summarization of multi-party dialogues is a critical capability in industry...
Less Is More for Multi-Step Logical Reasoning of LLM Generalisation Under Rule Removal, Paraphrasing, and Compression
arXiv:2512.06393v2 Announce Type: replace-cross Abstract: Large language models (LLMs) achieve strong performance on many natural...
