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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 32 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 161 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 99
jinuk kim
olive-oasis
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Papers to read
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 32 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 161 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 99
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