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Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 122 -
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Paper • 2509.08494 • Published • 2 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 160 -
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 79
JiWon Hwang
WonRyeong
AI & ML interests
None yet
Organizations
None yet
RAG 논문
OCR 논문
한국 LLM 논문
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RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
Paper • 2408.02545 • Published • 38 -
HyperCLOVA X THINK Technical Report
Paper • 2506.22403 • Published -
HyperCLOVA X Technical Report
Paper • 2404.01954 • Published • 25 -
KMMLU: Measuring Massive Multitask Language Understanding in Korean
Paper • 2402.11548 • Published
AI 논문
-
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 122 -
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Paper • 2509.08494 • Published • 2 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 160 -
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 79
OCR 논문
RAG 논문
한국 LLM 논문
-
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
Paper • 2408.02545 • Published • 38 -
HyperCLOVA X THINK Technical Report
Paper • 2506.22403 • Published -
HyperCLOVA X Technical Report
Paper • 2404.01954 • Published • 25 -
KMMLU: Measuring Massive Multitask Language Understanding in Korean
Paper • 2402.11548 • Published