Bilgehan Sel

According to our database1, Bilgehan Sel authored at least 16 papers between 2023 and 2026.

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Timeline

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Bibliography

2026
Segment-Level Coherence for Robust Harmful Intent Probing in LLMs.
CoRR, April, 2026

Trojan-Speak: Bypassing Constitutional Classifiers with No Jailbreak Tax via Adversarial Finetuning.
CoRR, March, 2026

2025
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Backtracking for Safety.
CoRR, March, 2025

Reinforcement Learning with Backtracking Feedback.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LLMs Can Reason Faster Only If We Let Them.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

LLMs Can Plan Only If We Tell Them.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Democratizing Energy Management with LLM-Assisted Optimization Autoformalism.
Proceedings of the IEEE International Conference on Communications, 2024

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability.
CoRR, 2023

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.
CoRR, 2023

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold.
Proceedings of the Learning for Dynamics and Control Conference, 2023

A CMDP-within-online framework for Meta-Safe Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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