KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
Paper • 2604.13226 • Published • 9
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KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs upvoted a collection 2 days ago
Ternary BonsaiOrganizations
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papers 5 days ago
TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration
Paper • 2604.14116 • Published • 13
TIP: Token Importance in On-Policy Distillation
Paper • 2604.14084 • Published • 12
Exploration and Exploitation Errors Are Measurable for Language Model Agents
Paper • 2604.13151 • Published • 24
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space
Paper • 2604.14142 • Published • 27
Target Policy Optimization
Paper • 2604.06159 • Published • 22
upvoted a collection 5 days ago
upvoted 11
papers 6 days ago
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
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Towards Active Synthetic Data Generation for Finetuning Language Models
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Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities
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Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
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SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking
Paper • 2406.10882 • Published • 2
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
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The Best Instruction-Tuning Data are Those That Fit
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BARE: Combining Base and Instruction-Tuned Language Models for Better Synthetic Data Generation
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Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 51
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
Paper • 2506.11300 • Published • 2
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Paper • 2305.10429 • Published • 5