AutoBool: An Reinforcement-Learning trained LLM for Effective Automated Boolean Query Generation for Systematic Reviews Paper • 2602.00005 • Published Nov 21, 2025 • 1
Autobool Collection AutoBool is a reinforcement learning (RL) framework for training large language models (LLMs) to generate high-quality Boolean queries for systema • 7 items • Updated 2 days ago • 2
Autobool Collection AutoBool is a reinforcement learning (RL) framework for training large language models (LLMs) to generate high-quality Boolean queries for systema • 7 items • Updated 2 days ago • 2
ielabgroup/Autobool-Qwen4b-Reasoning-conceptual Reinforcement Learning • 4B • Updated 17 days ago • 24 • 1
ielabgroup/Autobool-Qwen4b-Reasoning-objective Reinforcement Learning • 4B • Updated 17 days ago • 18 • 2
Autobool Collection AutoBool is a reinforcement learning (RL) framework for training large language models (LLMs) to generate high-quality Boolean queries for systema • 7 items • Updated 2 days ago • 2
ielabgroup/Autobool-Qwen4b-Reasoning-objective Reinforcement Learning • 4B • Updated 17 days ago • 18 • 2
ielabgroup/Autobool-Qwen4b-Reasoning-conceptual Reinforcement Learning • 4B • Updated 17 days ago • 24 • 1
ielabgroup/dse-qwen2-2b-mrl-v1-safetensor Visual Document Retrieval • 2B • Updated Sep 3, 2025 • 6 • 1
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach Paper • 2204.00718 • Published Apr 1, 2022
Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Models Paper • 2503.14887 • Published Mar 19, 2025
LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback Paper • 2504.01448 • Published Apr 2, 2025