Jack Urbanek

According to our database1, Jack Urbanek authored at least 25 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data.
CoRR, March, 2026

ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset.
CoRR, February, 2026

DatBench: Discriminative, Faithful, and Efficient VLM Evaluations.
CoRR, January, 2026

2025
Luxical: High-Speed Lexical-Dense Text Embeddings.
CoRR, December, 2025

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining.
CoRR, August, 2025

2024
Improving Text-to-Image Consistency via Automatic Prompt Optimization.
Trans. Mach. Learn. Res., 2024

Text Motion Translator: A Bi-directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions.
Proceedings of the Computer Vision - ECCV 2024, 2024

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models.
CoRR, 2023

Infusing Commonsense World Models with Graph Knowledge.
CoRR, 2023

Mephisto: A Framework for Portable, Reproducible, and Iterative Crowdsourcing.
CoRR, 2023

Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Deploying Lifelong Open-Domain Dialogue Learning.
CoRR, 2020

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions.
CoRR, 2020

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents.
CoRR, 2020

Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating Interactive Worlds with Text.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Second Conversational Intelligence Challenge (ConvAI2).
CoRR, 2019

Learning to Speak and Act in a Fantasy Text Adventure Game.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent.
Proceedings of the 6th International Conference on Learning Representations, 2018

Personalizing Dialogue Agents: I have a dog, do you have pets too?
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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