Distribution-aware Language Neuron Identification in Multilingual Large Language Models Paper • 2609.10993 • Published Sep 10 • 2
Which Language Should a Skeleton Speak? Language Choices in Multilingual Reasoning Paper • 2610.09607 • Published Oct 7 • 5
NVIDIA Nemotron v3 Collection Open, Production-ready Enterprise Models • 46 items • Updated 20 days ago • 394
MentalBench: A Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models Paper • 2602.12871 • Published Feb 13 • 19
QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs Paper • 2510.11696 • Published Oct 13, 2025 • 182
KORMo pretraining datasets Collection The pretraining datasets for KORMo-10B were collected from diverse, publicly available source. • 14 items • Updated Oct 13, 2025 • 22
Tri Series Collection Introducing our new series of models: Tri-7B, Tri-21B, and Tri-70B-preview-SFT • 12 items • Updated Jul 27 • 11
view article Article SmolLM3: smol, multilingual, long-context reasoner +21 eliebak, cmpatino, anton-l, edbeeching, m-ric, nouamanetazi, akseljoonas, guipenedo, hynky, clefourrier, SaylorTwift, kashif, qgallouedec, hlarcher, glutamatt, Xenova, reach-vb, ngxson, craffel, lewtun, loubnabnl, lvwerra, thomwolf • Jul 8, 2025 • 807
view article Article Efficient LLM Pretraining: Packed Sequences and Masked Attention sirluk • Oct 7, 2024 • 74
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Paper • 2504.13161 • Published Apr 17, 2025 • 97
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Paper • 2501.17161 • Published Jan 28, 2025 • 123
Towards Best Practices for Open Datasets for LLM Training Paper • 2501.08365 • Published Jan 14, 2025 • 60
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code Paper • 2410.08196 • Published Oct 10, 2024 • 49
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation Paper • 2412.10151 • Published Dec 13, 2024 • 7