Optical Flow Requires Multiple Strategies (but Only One Network). - Tal Schuster; Lior Wolf; David Gadot (CVPR, 2017)

Towards Debiasing Fact Verification Models. - Tal Schuster; Darsh J. Shah; Yun Jie Serene Yeo; Daniel Filizzola; Enrico Santus; Regina Barzilay (EMNLP/IJCNLP (1), 2019)

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. - Tal Schuster; Ori Ram; Regina Barzilay; Amir Globerson (NAACL-HLT (1), 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)

Automatic Fact-Guided Sentence Modification. - Darsh J. Shah; Tal Schuster; Regina Barzilay (AAAI, 2020)

Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning. - Roei Schuster; Tal Schuster; Yoav Meri; Vitaly Shmatikov (SP, 2020)

The Limitations of Stylometry for Detecting Machine-Generated Fake News. - Tal Schuster; Roei Schuster; Darsh J. Shah; Regina Barzilay (Comput. Linguistics, 2020)

Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels. - Adam Fisch; Tal Schuster; Tommi S. Jaakkola; Regina Barzilay (CoRR, 2020)

Consistent Accelerated Inference via Confident Adaptive Transformers. - Tal Schuster; Adam Fisch; Tommi S. Jaakkola; Regina Barzilay (EMNLP (1), 2021)

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission. - Adam Fisch; Tal Schuster; Tommi S. Jaakkola; Regina Barzilay (ICLR, 2021)

Few-Shot Conformal Prediction with Auxiliary Tasks. - Adam Fisch; Tal Schuster; Tommi S. Jaakkola; Regina Barzilay (ICML, 2021)

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence. - Tal Schuster; Adam Fisch; Regina Barzilay (NAACL-HLT, 2021)

Programming Puzzles. - Tal Schuster; Ashwin Kalyan; Alex Polozov; Adam Kalai (NeurIPS Datasets and Benchmarks, 2021)

Robust and Efficient Deep Learning for Misinformation Prevention. - Tal Schuster (2021)

Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation. - Jannis Bulian; Christian Buck; Wojciech Gajewski; Benjamin Börschinger; Tal Schuster (EMNLP, 2022)

Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. - Tal Schuster; Sihao Chen; Senaka Buthpitiya; Alex Fabrikant; Donald Metzler (EMNLP (Findings), 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 002; Dara Bahri; Jianmo Ni; Jai Prakash Gupta 001; Kai Hui 001; et al. (ICLR, 2022)

Conformal Prediction Sets with Limited False Positives. - Adam Fisch; Tal Schuster; Tommi S. Jaakkola; Regina Barzilay (ICML, 2022)

Confident Adaptive Language Modeling. - Tal Schuster; Adam Fisch; Jai Gupta 001; Mostafa Dehghani 001; Dara Bahri; Vinh Tran 002; Yi Tay; Donald Metzler (NeurIPS, 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 2022)

Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Neil Houlsby; Donald Metzler (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)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. - Sihao Chen; Senaka Buthpitiya; Alex Fabrikant; Dan Roth 001; Tal Schuster (ACL (Findings), 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 (ACL (1), 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 (EMNLP (Findings), 2023)

UL2: Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Jason Wei; Xuezhi Wang 002; Hyung Won Chung; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Denny Zhou; Neil Houlsby; et al. (ICLR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Attribute First, then Generate: Locally-attributable Grounded Text Generation. - Aviv Slobodkin; Eran Hirsch; Arie Cattan; Tal Schuster; Ido Dagan (ACL (1), 2024)

Conformal Risk Control. - Anastasios Nikolas Angelopoulos; Stephen Bates; Adam Fisch; Lihua Lei; Tal Schuster (ICLR, 2024)

Conformal Language Modeling. - Victor Quach; Adam Fisch; Tal Schuster; Adam Yala; Jae Ho Sohn; Tommi S. Jaakkola; Regina Barzilay (ICLR, 2024)

SEMQA: Semi-Extractive Multi-Source Question Answering. - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta 001; Jonathan Berant; William W. Cohen; Donald Metzler (NAACL-HLT, 2024)

TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. - Avi Caciularu; Alon Jacovi; Eyal Ben-David; Sasha Goldshtein; Tal Schuster; Jonathan Herzig; Gal Elidan; Amir Globerson (NeurIPS, 2024)

Block Transformer: Global-to-Local Language Modeling for Fast Inference. - Namgyu Ho; Sangmin Bae; Taehyeon Kim 001; Hyunjik Jo; Yireun Kim; Tal Schuster; Adam Fisch; James Thorne; Se-Young Yun (NeurIPS, 2024)

Tomato, Tomahto, Tomate: Measuring the Role of Shared Semantics among Subwords in Multilingual Language Models. - Xinyu Zhang 018; Jing Lu; Vinh Q. Tran 002; Tal Schuster; Donald Metzler; Jimmy Lin (CoRR, 2024)

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA. - Sangmin Bae; Adam Fisch; Hrayr Harutyunyan; Ziwei Ji; Seungyeon Kim 001; Tal Schuster (ICLR, 2025)

On Reference (In-)Determinacy in Natural Language Inference. - Sihao Chen; Chaitanya Malaviya; Alex Fabrikant; Hagai Taitelbaum; Tal Schuster; Senaka Buthpitiya; Dan Roth 001 (NAACL (Findings), 2025)

Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts? - Crystina Zhang; Jing Lu; Vinh Q. Tran 002; Tal Schuster; Donald Metzler; Jimmy Lin (NAACL (Findings), 2025)

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation. - Sangmin Bae; Yujin Kim; Reza Bayat; Sungnyun Kim; Jiyoun Ha; Tal Schuster; Adam Fisch; Hrayr Harutyunyan; Ziwei Ji; Aaron Courville; Se-Young Yun (CoRR, 2025)