RESEARCHMonitorWATCHLIST
BRIDGE: Bilevel Retrieval-Credit-Aware Agentic Reinforcement Learning
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers propose BRIDGE, a bilevel retrieval-credit-aware agentic reinforcement learning method to address information-credit gaps in LLMs.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 30 September 2026
- Collected by OneBench
- 1 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2609.36505v1 Announce Type: cross Abstract: Agentic reinforcement learning (ARL) with verifiable rewards improves the ability of large language models (LLMs) to tackle knowledge-intensive tasks by…
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