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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 119 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14
Edoardo Federici
efederici
AI & ML interests
llms, ir, graphs & co, NAACL 2025
Recent Activity
liked a model 4 days ago
google/gemma-4-12B-it upvoted a paper 21 days ago
Lance: Unified Multimodal Modeling by Multi-Task Synergy liked a model about 2 months ago
Qwen/Qwen3.6-27BOrganizations
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 119 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14