| 2025 | EMNLP | Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations. | Ananth Agarwal, Jasper Jian, Christopher D. Manning, Shikhar Murty |
| 2025 | ICLR | MrT5: Dynamic Token Merging for Efficient Byte-level Language Models. | Julie Kallini, Shikhar Murty, Christopher D. Manning, Christopher Potts, Rbert Csords |
| 2025 | NAACL | Sneaking Syntax into Transformer Language Models with Tree Regularization. | Ananjan Nandi, Christopher D. Manning, Shikhar Murty |
| 2024 | ICML | BAGEL: Bootstrapping Agents by Guiding Exploration with Language. | Shikhar Murty, Christopher D. Manning, Peter Shaw, Mandar Joshi, Kenton Lee |
| 2023 | ACL | Grokking of Hierarchical Structure in Vanilla Transformers. | Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2023 | EMNLP | Pseudointelligence: A Unifying Lens on Language Model Evaluation. | Shikhar Murty, Orr Paradise, Pratyusha Sharma |
| 2023 | EMNLP | Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. | Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2023 | ICLR | Characterizing intrinsic compositionality in transformers with Tree Projections. | Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2022 | EMNLP | Fixing Model Bugs with Natural Language Patches. | Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Tlio Ribeiro |
| 2022 | EMNLP | On Measuring the Intrinsic Few-Shot Hardness of Datasets. | Xinran Zhao, Shikhar Murty, Christopher D. Manning |
| 2021 | NAACL | DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. | Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning |
| 2020 | ACL | ExpBERT: Representation Engineering with Natural Language Explanations. | Shikhar Murty, Pang Wei Koh, Percy Liang |
| 2019 | ICLR | 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 |
| 2019 | NAACL | Iterative Search for Weakly Supervised Semantic Parsing. | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy |
| 2018 | ACL | Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures. | Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum |
| 2018 | ACL | Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. | Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum |
| 2018 | CoNLL | Embedded-State Latent Conditional Random Fields for Sequence Labeling. | Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum |
| 2018 | IJCAI | Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. | Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti |