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Halil Alperen Gozeten

4 accepted papers

2026

Continuous Chain of Thought Enables Parallel Exploration and Reasoning

ICLR 2026poster

Modern language models generate chain-of-thought traces by autoregressively sampling tokens from a finite vocabulary. While this discrete sampling has achieved remarkable success, conducting chain-of-thought with continuously-valued tokens (CoT2) offers a richer and more expressive alternative. Our…

Cited by 0SourcecodeScholar
2026

Learning to Correct: Reinforcement Learning for Multi-Attempt Chain-of-Thought

ICML 2026poster

State-of-the-art reasoning models can utilize long chain-of-thought to solve sophisticated coding and math problems. During this process, the model often attemps at a solution multiple times by utilizing verification and self-reflection capabilities. In this work, we view a long CoT as a process whe…

Cited by 0SourceScholar
2025

High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

ICLR 2025spotlight

A growing number of machine learning scenarios rely on knowledge distillation where one uses the output of a surrogate model as labels to supervise the training of a target model. In this work, we provide a sharp characterization of this process for ridgeless, high-dimensional regression, under two…

Cited by 3SourcePDFScholar
2025

Test-Time Training Provably Improves Transformers as In-context Learners

ICML 2025poster

Test-time training (TTT) methods explicitly update the weights of a model to adapt to the specific test instance, and they have found success in a variety of settings, including most recently language modeling and reasoning. To demystify this success, we investigate a gradient-based TTT algorithm fo…

Cited by 1SourcePDFScholar