Tal Schuster

According to our database, Tal Schuster authored at least 32 papers between 2017 and 2024.

Collaborative distances:

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

2024

Attribute First, then Generate: Locally-attributable Grounded Text Generation.

Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan

CoRR, 2024

2023

SEMQA: Semi-Extractive Multi-Source Question Answering.

Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler

CoRR, 2023

Conformal Language Modeling.

Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay

CoRR, 2023

UL2: Unifying Language Learning Paradigms.

Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes.

Ádám D. Lelkes, Eric Loreaux, Tal Schuster, Ming-Jun Chen, Alvin Rajkomar

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

LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction.

Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster

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

PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition.

Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster

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

2022

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

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Is margin all you need? An extensive empirical study of active learning on tabular data.

Dara Bahri, Heinrich Jiang, Tal Schuster, Afshin Rostamizadeh

CoRR, 2022

Conformal Risk Control.

Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster

CoRR, 2022

Confident Adaptive Language Modeling.

Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler

CoRR, 2022

Unifying Language Learning Paradigms.

Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler

CoRR, 2022

Transformer Memory as a Differentiable Search Index.

Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Confident Adaptive Language Modeling.

Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conformal Prediction Sets with Limited False Positives.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the International Conference on Machine Learning, 2022

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.

Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters.

Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation.

Jannis Bulian, Christian Buck, Wojciech Gajewski, Benjamin Börschinger, Tal Schuster

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Robust and Efficient Deep Learning for Misinformation Prevention.

Tal Schuster

PhD thesis, 2021

Programming Puzzles.

Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence.

Tal Schuster, Adam Fisch, Regina Barzilay

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Few-Shot Conformal Prediction with Auxiliary Tasks.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the 9th International Conference on Learning Representations, 2021

Consistent Accelerated Inference via Confident Adaptive Transformers.

Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

CoRR, 2020

The Limitations of Stylometry for Detecting Machine-Generated Fake News.

Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay

Comput. Linguistics, 2020

Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning.

Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

Automatic Fact-Guided Sentence Modification.

Darsh J. Shah, Tal Schuster, Regina Barzilay

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection.

Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay

CoRR, 2019

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.

Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Towards Debiasing Fact Verification Models.

Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017

Optical Flow Requires Multiple Strategies (but Only One Network).

Tal Schuster, Lior Wolf, David Gadot

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017