Izzeddin Gur

According to our database, Izzeddin Gur authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T. Parisi, Abhishek Kumar, Alexander A. Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

Trans. Mach. Learn. Res., 2024

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models.

Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Sridhar Thiagarajan, Craig Boutilier, Rishabh Agarwal, Aviral Kumar, Aleksandra Faust

CoRR, 2024

Geometric-Averaged Preference Optimization for Soft Preference Labels.

Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur

CoRR, 2024

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.

Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington, Alex Rizkowsky, Isabelle Simpson, Hanie Sedghi, Jascha Sohl-Dickstein, Kevin Swersky, Sharad Vikram, Tris Warkentin, Lechao Xiao, Kelvin Xu, Jasper Snoek, Simon Kornblith

CoRR, 2024

Scaling Exponents Across Parameterizations and Optimizers.

Katie E. Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Small-scale proxies for large-scale Transformer training instabilities.

Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie E. Everett, Alexander A. Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.

Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multimodal Web Navigation with Instruction-Finetuned Foundation Models.

Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Language Model Agents Suffer from Compositional Generalization in Web Automation.

Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

CoRR, 2023

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?

C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein

CoRR, 2023

Multimodal Web Navigation with Instruction-Finetuned Foundation Models.

Hiroki Furuta, Ofir Nachum, Kuang-Huei Lee, Yutaka Matsuo, Shixiang Shane Gu, Izzeddin Gur

CoRR, 2023

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.

Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica

Proceedings of the International Conference on Machine Learning, 2023

Understanding HTML with Large Language Models.

Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V. Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration.

Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust

CoRR, 2022

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.

Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica

CoRR, 2022

Fast inference and transfer of compositional task structures for few-shot task generalization.

Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Less is More: Generating Grounded Navigation Instructions from Landmarks.

Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adversarial Environment Generation for Learning to Navigate the Web.

Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust

CoRR, 2021

Environment Generation for Zero-Shot Compositional Reinforcement Learning.

Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques.

Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn, Wenhan Lu, David Berthelot, Izzeddin Gur, Pranav Khaitan, Ke-Wei Huang, Kyriacos Koupparis, Bernhard Kowatsch

CoRR, 2020

2019

Learning to Navigate the Web.

Izzeddin Gur, Ulrich Rückert, Aleksandra Faust, Dilek Hakkani-Tür

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

User Modeling for Task Oriented Dialogues.

Izzeddin Gur, Dilek Hakkani-Tür, Gökhan Tür, Pararth Shah

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Global Relation Embedding for Relation Extraction.

Yu Su, Honglei Liu, Semih Yavuz, Izzeddin Gur, Huan Sun, Xifeng Yan

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL.

Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

DialSQL: Dialogue Based Structured Query Generation.

Izzeddin Gur, Semih Yavuz, Yu Su, Xifeng Yan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Recovering Question Answering Errors via Query Revision.

Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Accurate Supervised and Semi-Supervised Machine Reading for Long Documents.

Izzeddin Gur, Daniel Hewlett, Alexandre Lacoste, Llion Jones

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Improving Semantic Parsing via Answer Type Inference.

Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa, Xifeng Yan

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

On Generating Characteristic-rich Question Sets for QA Evaluation.

Yu Su, Huan Sun, Brian M. Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016