Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 144
To Read
-
-
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Paper • 2409.02795 • Published • 72 -
Attention Heads of Large Language Models: A Survey
Paper • 2409.03752 • Published • 92 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133 -
Transformer Explainer: Interactive Learning of Text-Generative Models
Paper • 2408.04619 • Published • 175 -
Gemma 2: Improving Open Language Models at a Practical Size
Paper • 2408.00118 • Published • 78 -
Why Does the Effective Context Length of LLMs Fall Short?
Paper • 2410.18745 • Published • 17 -
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Paper • 2410.10814 • Published • 51 -
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
Paper • 2410.09584 • Published • 48 -
Can Knowledge Editing Really Correct Hallucinations?
Paper • 2410.16251 • Published • 55 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 229 -
DeepAgent: A General Reasoning Agent with Scalable Toolsets
Paper • 2510.21618 • Published • 103 -
Reasoning with Sampling: Your Base Model is Smarter Than You Think
Paper • 2510.14901 • Published • 48 -
Continual Learning via Sparse Memory Finetuning
Paper • 2510.15103 • Published • 3