| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 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> | |||
| 2026-04-03 | Initial commit: UPH project codebase and experiment results | YurenHao0426 | |
| Includes model code, evaluation scripts, configs, analysis outputs, and experiment results for the User Prior Head personalization method. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> | |||
