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Emre Can Acikgoz

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#artificial intelligence Preprint Sep 2026

Understanding the Synergy between SFT, RLVR, and OPD in LLM Post-Training

This work characterize OPD across nine student-teacher pairs spanning 2x to 53x parameter ratios and shows that OPD effectiveness depends on student-teacher compatibility rather than teacher scale alone, and suggests that each post-training stage should be chosen not only for the capability it adds, but for the learnin...

Emre Can Acikgoz, Yang Li, Z. Liu et al. · 0 citations
Preprint Aug 2026

Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs

These findings expose a critical weakness in current LLM agents: even when they initially reason correctly, they can be steered toward false conclusions by optimized natural language influence, which positions persuasion robustness as a necessary safety criterion for multi-agent and human-AI decision-making systems.

Nimet Beyza Bozdag, Emre Can Acikgoz, Gokhan Tur et al. · 1 citation

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