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P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Intermediate

Pinyi Zhang, Ting-En Lin et al.Feb 12arXiv

This paper introduces P-GenRM, a personalized generative reward model that judges AI answers using a custom scorecard built just for each user and situation.

#personalized reward modeling#generative reward model#evaluation chain

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration

Intermediate

Bowei He, Minda Hu et al.Feb 3arXiv

This paper teaches AI to look things up on the web and fix its own mistakes mid-thought instead of starting over from scratch.

#search-integrated reasoning#reinforcement learning#credit assignment

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification

Intermediate

Chuxue Cao, Jinluan Yang et al.Jan 30arXiv

Large language models sometimes reach the right answer for the wrong reasons, which is risky and confusing.

#formal logic verification#interleaved verification#neuro-symbolic reasoning

Papers3

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification