CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Paper • 2504.13161 • Published 10 days ago • 87
Predictive Data Selection: The Data That Predicts Is the Data That Teaches Paper • 2503.00808 • Published Mar 2 • 57
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data Paper • 2302.12822 • Published Feb 24, 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Paper • 2304.06767 • Published Apr 13, 2023 • 2
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation Paper • 2408.12168 • Published Aug 22, 2024
BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation Paper • 2502.03860 • Published Feb 6 • 24
Reward-Guided Speculative Decoding for Efficient LLM Reasoning Paper • 2501.19324 • Published Jan 31 • 39
Offline Reinforcement Learning for LLM Multi-Step Reasoning Paper • 2412.16145 • Published Dec 20, 2024 • 39
Hymba: A Hybrid-head Architecture for Small Language Models Paper • 2411.13676 • Published Nov 20, 2024 • 45
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models Paper • 2410.03290 • Published Oct 4, 2024 • 7
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs Paper • 2410.04698 • Published Oct 7, 2024 • 13