Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models Paper • 2502.08130 • Published 17 days ago • 9
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models Paper • 2502.08130 • Published 17 days ago • 9
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models Paper • 2502.08130 • Published 17 days ago • 9 • 2
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models Paper • 2409.04787 • Published Sep 7, 2024 • 1
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data Paper • 2502.08468 • Published 16 days ago • 13
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Paper • 2502.09560 • Published 15 days ago • 32
Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights Paper • 2502.09619 • Published 15 days ago • 31
Byte Latent Transformer: Patches Scale Better Than Tokens Paper • 2412.09871 • Published Dec 13, 2024 • 93
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes Paper • 2404.12365 • Published Apr 18, 2024 • 1
Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation Paper • 2407.13696 • Published Jul 18, 2024 • 5
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models Paper • 2409.04787 • Published Sep 7, 2024 • 1
JuStRank: Benchmarking LLM Judges for System Ranking Paper • 2412.09569 • Published Dec 12, 2024 • 20