Shikhar Murty

According to our database, Shikhar Murty authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

Sneaking Syntax into Transformer Language Models with Tree Regularization.

Ananjan Nandi, Christopher D. Manning, Shikhar Murty

CoRR, 2024

MrT5: Dynamic Token Merging for Efficient Byte-level Language Models.

Julie Kallini, Shikhar Murty, Christopher D. Manning, Christopher Potts, Róbert Csordás

CoRR, 2024

NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator.

Shikhar Murty, Dzmitry Bahdanau, Christopher D. Manning

CoRR, 2024

BAGEL: Bootstrapping Agents by Guiding Exploration with Language.

Shikhar Murty, Christopher D. Manning, Peter Shaw, Mandar Joshi, Kenton Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Pseudointelligence: A Unifying Framework for Language Model Evaluation.

Shikhar Murty, Orr Paradise, Pratyusha Sharma

CoRR, 2023

Characterizing intrinsic compositionality in transformers with Tree Projections.

Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pushdown Layers: Encoding Recursive Structure in Transformer Language Models.

Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pseudointelligence: A Unifying Lens on Language Model Evaluation.

Shikhar Murty, Orr Paradise, Pratyusha Sharma

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

Grokking of Hierarchical Structure in Vanilla Transformers.

Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

On Measuring the Intrinsic Few-Shot Hardness of Datasets.

Xinran Zhao, Shikhar Murty, Christopher D. Manning

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

Fixing Model Bugs with Natural Language Patches.

Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro

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

2021

DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference.

Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning

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

2020

ExpBERT: Representation Engineering with Natural Language Explanations.

Shikhar Murty, Pang Wei Koh, Percy Liang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

CLOSURE: Assessing Systematic Generalization of CLEVR Models.

Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville

CoRR, 2019

CLOSURE: Assessing Systematic Generalization of CLEVR Models.

Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Iterative Search for Weakly Supervised Semantic Parsing.

Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy

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

Systematic Generalization: What Is Required and Can It Be Learned?

Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference.

Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Embedded-State Latent Conditional Random Fields for Sequence Labeling.

Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking.

Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.

Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling.

Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum

CoRR, 2017

Joint Matrix-Tensor Factorization for Knowledge Base Inference.

Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti

CoRR, 2017

Finer Grained Entity Typing with TypeNet.

Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017