The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 82
LLM
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Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 107 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 101 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 80 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 132 -
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
Paper • 2405.19327 • Published • 48 -
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 72 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 89 -
Searching for Best Practices in Retrieval-Augmented Generation
Paper • 2407.01219 • Published • 11 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 36 -
Lynx: An Open Source Hallucination Evaluation Model
Paper • 2407.08488 • Published -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 144 -
Human Feedback is not Gold Standard
Paper • 2309.16349 • Published • 5 -
Differential Transformer
Paper • 2410.05258 • Published • 182 -
Were RNNs All We Needed?
Paper • 2410.01201 • Published • 53