Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: Qwen/Qwen2.5-4B
+base_model: Qwen/Qwen3-4B
 tags:
 - boolean-queries
 - systematic-review
@@ -20,7 +20,7 @@ This model is part of the **AutoBool** framework, a reinforcement learning appro
 
 This variant uses the **objective method** grounded in domain expertise and structured logic. The model simulates a relevant article and extracts key terms to construct the Boolean query, following a systematic 6-step process.
 
-- **Base Model:** Qwen/Qwen2.5-4B
+- **Base Model:** Qwen/Qwen3-4B
 - **Training Method:** GRPO (Group Relative Policy Optimization) with LoRA fine-tuning
 - **Prompt Strategy:** Objective method (hypothetical article simulation)
   - **Step 1:** Simulate a concise title and abstract (2-3 sentences) of a relevant and focused article
@@ -37,7 +37,7 @@ This variant uses the **objective method** grounded in domain expertise and stru
 The model was trained using:
 - **Optimization:** GRPO (Group Relative Policy Optimization)
 - **Fine-tuning:** LoRA (Low-Rank Adaptation)
-- **Dataset:** PubMed systematic review queries (version 1.2)
+- **Dataset:** wshuai190/pubmed-pmc-sr-filtered
 - **Reward Function:** Combines syntactic validity, format correctness, and retrieval effectiveness
 - **Learning Approach:** Example-based pattern recognition
 
@@ -141,10 +141,10 @@ Query:", query)
 If you use this model, please cite:
 
 ```bibtex
-@inproceedings{autobool2025,
+@inproceedings{autobool2026,
   title={AutoBool: Reinforcement Learning for Boolean Query Generation in Systematic Reviews},
-  author={[]},
-  booktitle={Proceedings of the 2025 Conference of the European Chapter of the Association for Computational Linguistics (EACL)},
+  author={[Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon]},
+  booktitle={Proceedings of the 2026 Conference of the European Chapter of the Association for Computational Linguistics (EACL)},
   year={2025}
 }
 ```
@@ -152,7 +152,7 @@ If you use this model, please cite:
 ## More Information
 
 - **GitHub Repository:** [https://github.com/ielab/AutoBool](https://github.com/ielab/AutoBool)
-- **Paper:** Accepted at EACL 2025
+- **Paper:** Accepted at EACL 2026
 
 ## License