Vinh Q. Tran

Affiliations:
  • Google Research
  • Brown University, Providence, RI, USA (former)


According to our database1, Vinh Q. Tran authored at least 20 papers between 2016 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Fractal Patterns May Unravel the Intelligence in Next-Token Prediction.
CoRR, 2024

2023
Recommender Systems with Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UL2: Unifying Language Learning Paradigms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Transcending Scaling Laws with 0.1% Extra Compute.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How Does Generative Retrieval Scale to Millions of Passages?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DSI++: Updating Transformer Memory with New Documents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
DSI++: Updating Transformer Memory with New Documents.
CoRR, 2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.
CoRR, 2022

Confident Adaptive Language Modeling.
CoRR, 2022

Unifying Language Learning Paradigms.
CoRR, 2022

Transformer Memory as a Differentiable Search Index.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Confident Adaptive Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021
Quiz-Style Question Generation for News Stories.
Proceedings of the WWW '21: The Web Conference 2021, 2021

AgreeSum: Agreement-Oriented Multi-Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2016
Making the Case for Query-by-Voice with EchoQuery.
Proceedings of the 2016 International Conference on Management of Data, 2016


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