Shikhar Murty

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Natural Language

Tensor Factorization

Hierarchical Structure

Sequence Labeling

Top Venues

Publications

Shikhar Murty, Christopher D. Manning, Peter Shaw, Mandar Joshi, Kenton Lee
BAGEL: Bootstrapping Agents by Guiding Exploration with Language. CoRR (2024)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. EMNLP (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Grokking of Hierarchical Structure in Vanilla Transformers. CoRR (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Grokking of Hierarchical Structure in Vanilla Transformers. ACL (2) (2023)
Shikhar Murty, Orr Paradise, Pratyusha Sharma
Pseudointelligence: A Unifying Lens on Language Model Evaluation. EMNLP (Findings) (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. CoRR (2023)
Shikhar Murty, Orr Paradise, Pratyusha Sharma
Pseudointelligence: A Unifying Framework for Language Model Evaluation. CoRR (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Characterizing intrinsic compositionality in transformers with Tree Projections. ICLR (2023)
Xinran Zhao, Shikhar Murty, Christopher D. Manning
On Measuring the Intrinsic Few-Shot Hardness of Datasets. CoRR (2022)
Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro
Fixing Model Bugs with Natural Language Patches. CoRR (2022)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Characterizing Intrinsic Compositionality in Transformers with Tree Projections. CoRR (2022)
Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro
Fixing Model Bugs with Natural Language Patches. EMNLP (2022)
Xinran Zhao, Shikhar Murty, Christopher D. Manning
On Measuring the Intrinsic Few-Shot Hardness of Datasets. EMNLP (2022)
Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. NAACL-HLT (2021)
Shikhar Murty, Pang Wei Koh, Percy Liang
ExpBERT: Representation Engineering with Natural Language Explanations. CoRR (2020)
Shikhar Murty, Pang Wei Koh, Percy Liang
ExpBERT: Representation Engineering with Natural Language Explanations. ACL (2020)
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
Systematic Generalization: What Is Required and Can It Be Learned? ICLR (Poster) (2019)
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville
CLOSURE: Assessing Systematic Generalization of CLEVR Models. CoRR (2019)
Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin
CLOSURE: Assessing Systematic Generalization of CLEVR Models. ViGIL@NeurIPS (2019)
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy
Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) (2019)
Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum
Embedded-State Latent Conditional Random Fields for Sequence Labeling. CoRR (2018)
Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. IJCAI (2018)
Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum
Embedded-State Latent Conditional Random Fields for Sequence Labeling. CoNLL (2018)
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
Systematic Generalization: What Is Required and Can It Be Learned? CoRR (2018)
Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. ACL (1) (2018)
Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. CoRR (2018)
Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures. ACL (1) (2018)
Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures. CoRR (2018)
Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling. CoRR (2017)
Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti
Joint Matrix-Tensor Factorization for Knowledge Base Inference. CoRR (2017)
Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum
Finer Grained Entity Typing with TypeNet. AKBC@NIPS (2017)
Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum
Finer Grained Entity Typing with TypeNet. CoRR (2017)