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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 255 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 264
Erik Thorelli
esthor
AI & ML interests
Quantifying Agent Experience
Organizations
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Qwen/Qwen2-Audio-7B-Instruct
Audio-Text-to-Text • Updated • 372k • 530 -
openai/whisper-large-v3
Automatic Speech Recognition • 2B • Updated • 4.92M • • 5.65k -
openai/whisper-large-v3-turbo
Automatic Speech Recognition • 0.8B • Updated • 7.57M • • 2.99k -
ibm-granite/granite-speech-3.3-8b
Automatic Speech Recognition • 9B • Updated • 77.7k • 168
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 255 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 264
-
Qwen/Qwen2-Audio-7B-Instruct
Audio-Text-to-Text • Updated • 372k • 530 -
openai/whisper-large-v3
Automatic Speech Recognition • 2B • Updated • 4.92M • • 5.65k -
openai/whisper-large-v3-turbo
Automatic Speech Recognition • 0.8B • Updated • 7.57M • • 2.99k -
ibm-granite/granite-speech-3.3-8b
Automatic Speech Recognition • 9B • Updated • 77.7k • 168
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