It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning
cs.IR, cs.CL
Submitted: 2026-09-01
Updated: 2026-09-01
Terminology
Sources
- Autoregressive Entity Retrieval
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- G-Zero: Self-Play for Open-Ended Generation from Zero Data
- DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- HybridFlow: A Flexible and Efficient RLHF Framework
- Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
- Qwen3 Technical Report
- Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation
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