Self-Distilled RLVR
Paper • 2604.03128 • Published • 158
Jeongjae Park
jjp97
AI & ML interests
I’m interested in the latest NLP and AI technologies, such as uncertainty, retrieval, agentic approaches, and long-context models!
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Self-Distilled RLVROrganizations
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papers about 1 month ago
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Paper • 2603.09906 • Published • 75
IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
Paper • 2603.12201 • Published • 53
Does Your Reasoning Model Implicitly Know When to Stop Thinking?
Paper • 2602.08354 • Published • 263
upvoted 2
papers about 2 months ago
upvoted 9
papers 2 months ago
Shaping capabilities with token-level data filtering
Paper • 2601.21571 • Published • 27
A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
Paper • 2602.03442 • Published • 21
PaperBanana: Automating Academic Illustration for AI Scientists
Paper • 2601.23265 • Published • 223
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 199
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
Paper • 2512.07461 • Published • 79
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 106
THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
Paper • 2601.23143 • Published • 39
Self-Improving Pretraining: using post-trained models to pretrain better models
Paper • 2601.21343 • Published • 18
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 202