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arXiv:2505.15054v3 Announce Type: replace Abstract: Precise recognition, editing, and generation of molecules are essential prerequisites for both chemists and AI...
arXiv:2602.06052v3 Announce Type: replace Abstract: The research of artificial intelligence is undergoing a paradigm shift from prioritizing model innovations over...
arXiv:2504.01928v2 Announce Type: replace Abstract: Despite their impressive capabilities, LLMs exhibit a basic generalization failure known as the Reversal Curse,...
Electric vehicles could be economically competitive in Africa sooner than expected. Just 1% of new cars sold across the continent...
Large language models generate text one token at a time.
arXiv:2602.08625v1 Announce Type: new Abstract: Multilingual large language models (LLMs) have gained significant popularity for their ability to process and...
arXiv:2602.04982v2 Announce Type: replace Abstract: With the increasing use of large language models (LLMs) for generating answers to biomedical questions,...
arXiv:2512.00884v2 Announce Type: replace-cross Abstract: A common and effective means for improving language model capabilities involves finetuning a “student” language...
arXiv:2602.08321v1 Announce Type: new Abstract: Solving open-ended science questions remains challenging for large language models, particularly due to inherently unreliable...
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG
Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token
Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together
Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models
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
Link Prediction for Event Logs in the Process Industry
