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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2412.08905
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 12 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 51 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 45
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Phi-4 Technical Report
Paper • 2412.08905 • Published • 70 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 45 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 42 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 21
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Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Paper • 2411.11504 • Published • 19 -
Top-nσ: Not All Logits Are You Need
Paper • 2411.07641 • Published • 18 -
Adaptive Decoding via Latent Preference Optimization
Paper • 2411.09661 • Published • 10 -
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Paper • 2411.13476 • Published • 14
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Differential Transformer
Paper • 2410.05258 • Published • 166 -
PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 112 -
VisionZip: Longer is Better but Not Necessary in Vision Language Models
Paper • 2412.04467 • Published • 99 -
o1-Coder: an o1 Replication for Coding
Paper • 2412.00154 • Published • 36