Caglar Gulcehre

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments ACL 2026 Beyond Autoregression: Fast LLMs via Self-Distillation Through Time ICLR 2025 Fleet of Agents: Coordinated Problem Solving with Large Language Models ICML 2025 SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning ACL 2025 Aligning Large Language Models with Diverse Political Viewpoints EMNLP 2024 Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NeurIPS 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024 PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer ICML 2024 Self-Recognition in Language Models EMNLP 2024 Simple Hierarchical Planning with Diffusion ICLR 2024 Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues ICML 2024 Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models NeurIPS 2023 Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Active Offline Policy Selection NeurIPS 2021 Critic Regularized Regression NeurIPS 2020 Improving the Gating Mechanism of Recurrent Neural Networks ICML 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NeurIPS 2020 Stabilizing Transformers for Reinforcement Learning ICML 2020 Hyperbolic Attention Networks ICLR 2019 Sample Efficient Adaptive Text-to-Speech ICLR 2019 Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning ICML 2019 Memory Augmented Neural Networks for Natural Language Processing EMNLP 2017 Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NeurIPS 2017 Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond CoNLL 2016 Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus ACL 2016 Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016 Noisy Activation Functions ICML 2016 Pointing the Unknown Words ACL 2016 Gated Feedback Recurrent Neural Networks ICML 2015 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation EMNLP 2014