Shikhar Murty
17 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Machine Learning
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Keywords
knowledge graph
(3)
relation extraction
(3)
few-shot learning
(2)
hierarchical structure
(2)
language model
(2)
transformer language model
(2)
syntactic generalization
(2)
structured prediction
(1)
probabilistic modeling
(1)
benchmark evaluation
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uncertainty quantification
(1)
weakly supervised learning
(1)
natural language inference
(1)
hierarchical classification
(1)
language model evaluation
(1)
sentiment analysis
(1)
syntax parsing
(1)
semantic parsing
(1)
matrix factorization
(1)
question answering
(1)
Papers
Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations
EMNLP 2025
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
ICLR 2025
Sneaking Syntax into Transformer Language Models with Tree Regularization
NAACL 2025
BAGEL: Bootstrapping Agents by Guiding Exploration with Language
ICML 2024
Characterizing intrinsic compositionality in transformers with Tree Projections
ICLR 2023
Grokking of Hierarchical Structure in Vanilla Transformers
ACL 2023
Pseudointelligence: A Unifying Lens on Language Model Evaluation
EMNLP 2023
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models
EMNLP 2023
Fixing Model Bugs with Natural Language Patches
EMNLP 2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets
EMNLP 2022
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
NAACL 2021
ExpBERT: Representation Engineering with Natural Language Explanations
ACL 2020
Iterative Search for Weakly Supervised Semantic Parsing
NAACL 2019
Embedded-State Latent Conditional Random Fields for Sequence Labeling
CoNLL 2018
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
ACL 2018
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
IJCAI 2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
ACL 2018