| --- |
| license: apache-2.0 |
| language: |
| - zh |
| - en |
| pretty_name: ScholarSearchAgent Auxiliary Models |
| tags: |
| - information-retrieval |
| - reranking |
| - text-classification |
| - lora |
| - academic-search |
| --- |
| |
| # ScholarSearchAgent Auxiliary Models |
|
|
| This dataset repository hosts the trained auxiliary model artifacts used by |
| ScholarSearchAgent, an intelligent academic paper search and recommendation |
| system for complex research queries. |
|
|
| Source code: <https://github.com/Kaedeser/ScholarSearchAgent> |
|
|
| ## Download And Restore |
|
|
| The complete model bundle is stored as 200 MiB archive parts named |
| `ScholarSearchAgentAuxiliaryModel_20260723.tar.part0001`, |
| `ScholarSearchAgentAuxiliaryModel_20260723.tar.part0002`, and so on. Download |
| all parts in numerical order, concatenate them, verify the SHA-256 value, then |
| extract the resulting TAR archive. |
|
|
| PowerShell: |
|
|
| ```powershell |
| Get-ChildItem "ScholarSearchAgentAuxiliaryModel_20260723.tar.part*" | |
| Sort-Object Name | |
| Get-Content -AsByteStream | |
| Set-Content -AsByteStream "ScholarSearchAgentAuxiliaryModel_20260723.tar" |
| |
| Get-FileHash "ScholarSearchAgentAuxiliaryModel_20260723.tar" -Algorithm SHA256 |
| tar -xf "ScholarSearchAgentAuxiliaryModel_20260723.tar" |
| ``` |
|
|
| Expected SHA-256: |
|
|
| ```text |
| c15830db9b3c126d584b1ffbdef17cd70a4101d20470ad78661eb883b4fe4a46 |
| ``` |
|
|
| ## Included Models |
|
|
| | Directory after extraction | Purpose | Model form | Reported result | |
| | --- | --- | --- | |
| | `models/query_gate_biobert` | Detect whether a query should enter the academic-search pipeline | BioBERT sequence classifier | Test accuracy: 0.997143 | |
| | `models/intent_biobert` | Classify academic search intent | BioBERT sequence classifier | See packaged training metadata | |
| | `models/selector_reranker` | Rerank recalled paper candidates | Sentence Transformers CrossEncoder | F1: 88.81% | |
| | `models/crawler_strategy_lora` | Select section-expansion strategies | Qwen2.5-3B-Instruct LoRA adapter | Section F1: 0.3007 | |
|
|
| The crawler strategy artifact is a LoRA adapter. The public |
| `Qwen2.5-3B-Instruct` base model is not redistributed in this repository and |
| must be obtained separately under its original license. |
|
|
| ## Data And Privacy |
|
|
| The archive contains model weights, tokenizer/configuration files, and training |
| metadata required for inference. It does not contain API keys, passwords, |
| private endpoints, raw training datasets, source-code history, or participant |
| identity information. |
|
|
