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Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models

 🕹️AI Agents  Content type: Academic
arxiv.org·

Do We Want a Superintelligent People-Pleaser?

 🤖Claude Code
lesswrong.com·

EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms

 🎯Product Development  Content type: Academic
arxiv.org·

Sequential Data Poisoning in LLM Post-Training

 🛠️LLM Tooling  Content type: Academic
arxiv.org·

BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization

 🕹️AI Agents  Content type: Academic
arxiv.org·

Sparse Mixture-of-Experts Reward Models Learn Interpretable and Specialized Experts for Personalized Preference Modeling

 🕹️AI Agents  Content type: Academic
arxiv.org·

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