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rl-rag/browsecomp-qwen35-35b-a3b-think

browsecomp-qwen35-35b-a3b-think Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 43.0% avg@4 24.8% Trajectory accuracy 24.8% (1258/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 41.1 Full conversations ❌ Model & Setup Model Qwen3.5-35B-A3B Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-qwen35-35b-a3b-think.

Author / organizationrl-rag
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Created1 March 2026
Last updated at source1 March 2026
deep-researchtool-useevaluation
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  • 17 Oct 2026 Description: browsecomp-qwen35-35b-a3b-think Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 43.0% avg@4 24.8% Trajectory accuracy 24.8% (1258/5064) Questions 1266 Trajectories 5064 (4 per question) Av → browsecomp-qwen35-35b-a3b-think Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 43.0% avg@4 24.8% Trajectory accuracy 24.8% (1258/5064) Questions 1266 Trajectories 5064 (4 per question) Av

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