Browser-tab grouping with a 0.8B model: LoRA adapters on Qwen3.5-0.8B (SFT, GRPO) and the synthetic training data.
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Manuel Parra
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openai/gpt-oss-120b
Text Generation • 117B • Updated • 2.43M • • 5.5k -
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
Paper • 2512.20605 • Published • 62 -
Nested Browser-Use Learning for Agentic Information Seeking
Paper • 2512.23647 • Published • 19 -
TimeBill: Time-Budgeted Inference for Large Language Models
Paper • 2512.21859 • Published • 25
Browser-tab grouping with a 0.8B model: LoRA adapters on Qwen3.5-0.8B (SFT, GRPO) and the synthetic training data.
-
openai/gpt-oss-120b
Text Generation • 117B • Updated • 2.43M • • 5.5k -
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
Paper • 2512.20605 • Published • 62 -
Nested Browser-Use Learning for Agentic Information Seeking
Paper • 2512.23647 • Published • 19 -
TimeBill: Time-Budgeted Inference for Large Language Models
Paper • 2512.21859 • Published • 25