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Age	Commit message (Collapse)	Author
2026-04-05	Add Prompt Tuning and Prefix Tuning baselines	YurenHao0426
	- peft_baseline.py: Add PromptTuningConfig (L=5,10,20) and PrefixTuningConfig (L=5,10) - run_all_methods.py: Add 5 new methods to dispatch (prompt_tuning_5/10/20, prefix_tuning_5/10) with per-method directory output structure Prompt Tuning: params = L * H (e.g. 101536 = 15360 params = 30KB) Prefix Tuning: params = L num_layers * 2 * H (much larger) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05	Add PEFT baselines, ICL baselines, profile-based, and unified pipeline	YurenHao0426
	New baselines: - baselines/peft_baseline.py: LoRA, Tiny LoRA, VeRA (per-user PEFT adaptation) - baselines/dense_retrieval.py: Dense retrieval ICL (sentence-transformers) - baselines/profile_based.py: LLM-generated user profile conditioned generation New scripts: - scripts/run_all_methods.py: Unified pipeline running all 9 methods with per-method directory output structure (method/per_user.json) - scripts/run_peft_baselines.py: PEFT-only evaluation (legacy) - scripts/run_significance.py: Significance tests (UPH+Base per-user) - scripts/run_uph_base_per_user.py: UPH+Base with full per-user data - scripts/compute_bertscore.py: BERTScore from saved predictions - scripts/significance_test.py: Standalone significance test framework Updated .gitignore to exclude outputs/ directory. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>