Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Language models scale reliably with over-training and on downstream tasks.

[BibT_eX]

[DOI]

Samir Yitzhak Gadre

et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improving Factuality with Explicit Working Memory.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Improving Factuality with Explicit Working Memory.

[BibT_eX]

[DOI]

CoRR, 2024

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.

[BibT_eX]

[DOI]

CoRR, 2024

RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Language models scale reliably with over-training and on downstream tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DataComp-LM: In search of the next generation of training sets for language models.

[BibT_eX]

[DOI]

Khyathi Raghavi Chandu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

[BibT_eX]

[DOI]

CoRR, 2023

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MPCFORMER: Fast, Performant and Provate Transformer Inference with MPC.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

On the Adversarial Robustness of Vision Transformers.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

MPCFormer: fast, performant and private Transformer inference with MPC.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Text CAPTCHAs Using Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

How and When Adversarial Robustness Transfers in Knowledge Distillation?

[BibT_eX]

[DOI]

CoRR, 2021

On the Adversarial Robustness of Visual Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

2019

Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving.

[BibT_eX]

[DOI]

CoRR, 2019

Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning.

[BibT_eX]

[DOI]

Rulin Shao

Hui Liu

Dianbo Liu

CoRR, 2019

Rulin Shao

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