Caglar Gulcehre

41 papers A* 8Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference.
CoRR
Xiuying Wei, Caglar Gulcehre
2026 J jnl
The Diffusion Duality, Chapter II: Ψ-Samplers and Efficient Curriculum.
CoRR
Justin Deschenaux, Caglar Gulcehre, Subham Sekhar Sahoo
2025 J jnl
Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols.
CoRR
Mikhail Terekhov, Alexander Panfilov, Daniil Dzenhaliou, Caglar Gulcehre, Maksym Andriushchenko, Ameya Prabhu, Jonas Geiping
2025 J jnl
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning.
CoRR
Anja Surina, Amin Mansouri, Lars Quaedvlieg, Amal Seddas, Maryna Viazovska, Emmanuel Abbe, Caglar Gulcehre
2025 A* conf
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time.
ICLR
Justin Deschenaux, Caglar Gulcehre
2025 J jnl
Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata.
CoRR
Adrien Schurger-Foy, Rafal Kocielnik, Caglar Gulcehre, R. Michael Alvarez
2025 J jnl
Control Tax: The Price of Keeping AI in Check.
CoRR
Mikhail Terekhov, Zhen Ning David Liu, Caglar Gulcehre, Samuel Albanie
2025 A* conf
Fleet of Agents: Coordinated Problem Solving with Large Language Models.
ICML
Lars Henning Klein, Nearchos Potamitis, Roland C. Aydin, Robert West, Caglar Gulcehre, Akhil Arora
2025 J jnl
From Markov to Laplace: How Mamba In-Context Learns Markov Chains.
CoRR
Marco Bondaschi, Nived Rajaraman, Xiuying Wei, Kannan Ramchandran, Razvan Pascanu, Caglar Gulcehre, Michael Gastpar, Ashok Vardhan Makkuva
2025 J jnl
Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall.
CoRR
Mingyu Jo, Jaesik Yoon, Justin Deschenaux, Caglar Gulcehre, Sungjin Ahn
2025 J jnl
Partition Generative Modeling: Masked Modeling Without Masks.
CoRR
Justin Deschenaux, Lan Tran, Caglar Gulcehre
2025 J jnl
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions.
CoRR
Simon Matrenok, Skander Moalla, Caglar Gulcehre
2025 J jnl
RAT: Bridging RNN Efficiency and Attention Accuracy in Language Modeling.
CoRR
Xiuying Wei, Anunay Yadav, Razvan Pascanu, Caglar Gulcehre
2025 — conf
Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards.
ICAIF
Daniil Karzanov, Rubén Garzón, Mikhail Terekhov, Caglar Gulcehre, Thomas Raffinot, Marcin Detyniecki
2025 J jnl
Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards.
CoRR
Daniil Karzanov, Rubén Garzón, Mikhail Terekhov, Caglar Gulcehre, Thomas Raffinot, Marcin Detyniecki
2025 — conf
SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning.
ACL (Findings)
Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
2025 J jnl
The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset.
CoRR
Gilad Landau, Miran Özdogan, Gereon Elvers, Francesco Mantegna, Pratik Somaiya, Dulhan Jayalath, Luisa Kurth, Teyun Kwon, Brendan Shillingford, Gregory Farquhar, Minqi Jiang, Karim Jerbi, Hamza Abdelhedi, Yorguin José Mantilla Ramos, Caglar Gulcehre, Mark W. Woolrich, Natalie Voets, Oiwi Parker Jones
2024 A* conf
Aligning Large Language Models with Diverse Political Viewpoints.
EMNLP
Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash
2024 J jnl
Aligning Large Language Models with Diverse Political Viewpoints.
CoRR
Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash
2024 J jnl
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time.
CoRR
Justin Deschenaux, Caglar Gulcehre
2024 A* conf
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers.
NeurIPS
Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
2024 J jnl
Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers.
CoRR
Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
2024 J jnl
Fleet of Agents: Coordinated Problem Solving with Large Language Models using Genetic Particle Filtering.
CoRR
Akhil Arora, Lars Henning Klein, Nearchos Potamitis, Roland C. Aydin, Caglar Gulcehre, Robert West
2024 J jnl
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.
CoRR
Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Caglar Gulcehre
2024 J jnl
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context.
CoRR
Federico Arangath Joseph, Kilian Konstantin Haefeli, Noah Liniger, Caglar Gulcehre
2024 J jnl
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning.
CoRR
Mikhail Terekhov, Caglar Gulcehre
2024 J jnl
Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis.
CoRR
Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
2024 A* conf
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO.
NeurIPS
Skander Moalla, Andrea Miele, Daniil Pyatko, Razvan Pascanu, Caglar Gulcehre
2024 J jnl
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO.
CoRR
Skander Moalla, Andrea Miele, Razvan Pascanu, Caglar Gulcehre
2024 A* conf
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
ICML
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
CoRR
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
Promises, Outlooks and Challenges of Diffusion Language Modeling.
CoRR
Justin Deschenaux, Caglar Gulcehre
2024 J jnl
SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning.
CoRR
Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
2024 — conf
Self-Recognition in Language Models.
EMNLP (Findings)
Tim R. Davidson, Viacheslav Surkov, Veniamin Veselovsky, Giuseppe Russo, Robert West, Caglar Gulcehre
2024 J jnl
Self-Recognition in Language Models.
CoRR
Tim R. Davidson, Viacheslav Surkov, Veniamin Veselovsky, Giuseppe Russo, Robert West, Caglar Gulcehre
2024 A* conf
Simple Hierarchical Planning with Diffusion.
ICLR
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
Simple Hierarchical Planning with Diffusion.
CoRR
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
The Effect of Scheduling and Preemption on the Efficiency of LLM Inference Serving.
CoRR
Kyoungmin Kim, Kijae Hong, Caglar Gulcehre, Anastasia Ailamaki
2024 J jnl
The Role of Deep Learning Regularizations on Actors in Offline RL.
CoRR
Denis Tarasov, Anja Surina, Caglar Gulcehre
2024 A* conf
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues.
ICML
Antonio Orvieto, Soham De, Caglar Gulcehre, Razvan Pascanu, Samuel L. Smith
2024 J jnl
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders.
CoRR
Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre