Add RAG rewrite, 60-session experiment scripts, and analysis tools

- 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>

1 files changed, 11 insertions, 11 deletions

diff --git a/configs/local_models.yaml b/configs/local_models.yaml
index 8f91955..9372f3d 100644
--- a/configs/local_models.yaml
+++ b/configs/local_models.yaml
@@ -1,19 +1,19 @@
 # Base path for all models
-_base_path: &base /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
+_base_path: &base /workspace/personalization-user-model
 
 models:
   llm:
     # New Multi-Backend Config
     qwen_1_5b:
       backend: qwen
-      path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/qwen2.5-1.5b-instruct
+      path: /workspace/personalization-user-model/models/qwen2.5-1.5b-instruct
       device: auto
       dtype: bfloat16
       max_context_length: 4096
 
     llama_8b:
       backend: llama
-      path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct
+      path: /workspace/personalization-user-model/models/llama-3.1-8b-instruct
       device: auto
       dtype: bfloat16
       max_context_length: 8192
@@ -21,13 +21,13 @@ models:
     # vLLM backend for high-throughput experiments
     llama_8b_vllm:
       backend: vllm
-      path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct
+      path: /workspace/personalization-user-model/models/llama-3.1-8b-instruct
       vllm_url: http://localhost:8003/v1
       max_context_length: 8192
 
     # Legacy fallback (needed if from_config is called directly without name)
     hf_id: Qwen/Qwen2.5-1.5B-Instruct
-    local_path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/qwen2.5-1.5b-instruct
+    local_path: /workspace/personalization-user-model/models/qwen2.5-1.5b-instruct
     dtype: bfloat16
     device_map: auto
 
@@ -35,12 +35,12 @@ models:
     # Default/Legacy
     default:
       hf_id: Qwen/Qwen2.5-0.5B-Instruct
-      local_path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/qwen2.5-0.5b-instruct
+      local_path: /workspace/personalization-user-model/models/qwen2.5-0.5b-instruct
       dtype: bfloat16
       device_map: auto
     # New SFT Extractor
     qwen3_0_6b_sft:
-      path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/saves/qwen3-0.6b-full-sft-h200/checkpoint-4358
+      path: /workspace/personalization-user-model/models/pref-extractor-qwen3-0.6b-sft
       prompt_template_path: fine_tuning_prompt_template.txt
       device: auto
       dtype: bfloat16
@@ -48,18 +48,18 @@ models:
   embedding:
     qwen3:
       hf_id: Qwen/Qwen3-Embedding-8B
-      local_path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/qwen3-embedding-8b
+      local_path: /workspace/personalization-user-model/models/qwen3-embedding-8b
     nemotron:
       hf_id: nvidia/llama-embed-nemotron-8b
-      local_path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-embed-nemotron-8b
+      local_path: /workspace/personalization-user-model/models/llama-embed-nemotron-8b
   reranker:
     qwen3_8b:
       hf_id: Qwen/Qwen3-Reranker-8B
-      local_path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/rerankers/qwen3-reranker-8b
+      local_path: /workspace/personalization-user-model/models/rerankers/qwen3-reranker-8b
       dtype: bfloat16
       device_map: auto
     bge_base:
       hf_id: BAAI/bge-reranker-base
-      local_path: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/rerankers/bge-reranker-base
+      local_path: /workspace/personalization-user-model/models/rerankers/bge-reranker-base
       dtype: float16
       device_map: auto