YFPO: Yoked Feature Preference Optimization with Neuron-Guided Rewards

arXiv:2605.11906 · cs.CL · Submitted 2026-05-12 · Read on arXiv

cs.CL

Submitted: 2026-05-12

Updated: 2026-09-15

Comments: Accepted to Findings of AACL-IJCNLP 2026. Camera-ready revision

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 34× in this paper · explained in 1 episode
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Verifier — 5× in this paper · explained in 2 episodes
• Yoked Feature Preference Optimization — 4× in this paper
• Benchmark — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Alignment — 2× in this paper · explained in 1 episode
• GRPO — 2× in this paper · explained in 6 episodes
• Core — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• ORPO: Monolithic Preference Optimization without Reference Model
• CRANE: Causal Relevance Analysis of Language-Specific Neurons in Multilingual Large Language Models
• Let's Verify Step by Step
• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• A General Theoretical Paradigm to Understand Learning from Human Preferences
• Training Verifiers to Solve Math Word Problems
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale

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