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Halil Alperen Gozeten
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- 2026
[i5]Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Samet Oymak:
Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought. CoRR abs/2604.17912 (2026)
[i4]Halil Alperen Gozeten, Xuechen Zhang, Muhammed Emrullah Ildiz, Ege Onur Taga, Tara Javidi, Samet Oymak:
Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery. CoRR abs/2605.22613 (2026)- 2025
[c2]Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Marco Mondelli, Samet Oymak:
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws. ICLR 2025
[c1]Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak:
Test-Time Training Provably Improves Transformers as In-context Learners. ICML 2025
[i3]Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak:
Test-Time Training Provably Improves Transformers as In-context Learners. CoRR abs/2503.11842 (2025)
[i2]Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Hrayr Harutyunyan, Ankit Singh Rawat, Samet Oymak:
Continuous Chain of Thought Enables Parallel Exploration and Reasoning. CoRR abs/2505.23648 (2025)- 2024
[i1]Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Marco Mondelli, Samet Oymak:
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws. CoRR abs/2410.18837 (2024)
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