The Collaboration Gap
Paper • 2511.02687 • Published • 23
Raghav Singhal
Raghav-Singhal
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updated a model about 6 hours ago
Raghav-Singhal/pbsft-cite-pb-300k-3c-nosys-epe-1p-smollm-1p7b-100B-no_bce-refl_end_train-sel published a model about 6 hours ago
Raghav-Singhal/pbsft-cite-pb-300k-3c-nosys-epe-1p-smollm-1p7b-100B-no_bce-refl_end_train-sel updated a model about 8 hours ago
Raghav-Singhal/epe-1p-smollm-1p7b-100B-20n-2048sl-960gbsz-no_bce-refl_end_training-selectiveOrganizations
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upvoted a paper 7 months ago
upvoted a collection 8 months ago
upvoted an article 9 months ago
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
• • 776 upvoted 7
papers 12 months ago
Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
Paper • 2409.17777 • Published • 1
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Paper • 2502.15436 • Published • 1
Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training
Paper • 2503.01297 • Published • 1
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Paper • 2411.19557 • Published • 1
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
Paper • 2410.09432 • Published • 1
ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models
Paper • 2505.14238 • Published • 4
Safety Subspaces are Not Distinct: A Fine-Tuning Case Study
Paper • 2505.14185 • Published • 3