Caglar Gulcehre
33 papers · 2014–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (11)
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Renaissance Researcher
(7)
π
Conference Polyglot
(7)
π
Academic Marathon
(11)
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Topic Evolution
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Century Club
(32)
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Keyword Collector
(112)
β‘
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(5)
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Unstoppable
(7)
Conferences
ICML (9)
NIPS (8)
ICLR (5)
ACL (4)
EMNLP (4)
JMLR (2)
CONLL (1)
Top co-authors
Research topics
Keywords
large language model
(4)
reinforcement learning
(4)
recurrent neural network
(3)
offline reinforcement learning
(2)
neural network training
(2)
policy optimization
(2)
neural network
(2)
language modeling
(2)
sequence modeling
(2)
multi-agent reinforcement learning
(1)
off-policy evaluation
(1)
representation learning
(1)
non-convex optimization
(1)
causal inference
(1)
multi-task learning
(1)
transformer architecture
(1)
mathematical reasoning
(1)
curriculum learning
(1)
self-supervised learning
(1)
policy gradient
(1)
Papers
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
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
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
ICML 2024
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
NIPS 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
NIPS 2024
Self-Recognition in Language Models
EMNLP 2024
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
NIPS 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
NIPS 2021
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
ICLR 2020
Stabilizing Transformers for Reinforcement Learning
ICML 2020
Improving the Gating Mechanism of Recurrent Neural Networks
ICML 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
NIPS 2020
Critic Regularized Regression
NIPS 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
NIPS 2017
Noisy Activation Functions
ICML 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
Pointing the Unknown Words
ACL 2016
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
CONLL 2016
Gated Feedback Recurrent Neural Networks
ICML 2015
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
NIPS 2014
Learning Phrase Representations using RNN EncoderβDecoder for Statistical Machine Translation
EMNLP 2014