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2026-02-10Add E/T decomposition analysis to notesYurenHao0426
- E/T difference 79% from slightly more enforcements, 20% from fewer turns - Neither component individually significant - rag_vector achieves results in fewer turns with lower user effort Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Add bug session cleanup analysis and significance tests to notesYurenHao0426
- Detect agent repetition bugs (7.1% rag_vector, 3.8% reflection) - After cleanup: timeout rate significantly lower (p=0.046) - User effort significantly lower (p=0.021) - Paired t-test and Wilcoxon results with effect sizes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Add RAG rewrite, 60-session experiment scripts, and analysis toolsYurenHao0426
- RAG rewrite adapter and vector preference pipeline in personalized_llm - 60-session experiment queue scripts (reflection, rag, rag_vector, rag_rewrite) - Vector-preference correlation analysis and visualization scripts - Local reward model batch processing improvements - Updated CLAUDE.md with full experiment documentation and notes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-01-31Add 200 user profiles dataset (43 preferences each)YurenHao0426
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-27Add model wrapper modules (embedding, reranker, llm, preference_extractor)YurenHao0426
Add Python wrappers for: - Qwen3/Nemotron embedding models - BGE/Qwen3 rerankers - vLLM/Llama/Qwen LLM backends - GPT-4o/LLM-based preference extractors Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-27local reward modelYurenHao0426
2026-01-27add CLAUDE.mdYurenHao0426
2026-01-27Add collaborativeagents module and update gitignoreYurenHao0426
- Add collaborativeagents subproject with adapters, agents, and evaluation modules - Update .gitignore to exclude large binary files (.whl, .tar), wandb logs, and results Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17Initial commit (clean history)YurenHao0426