🧑‍🔬 Shikhar Murty

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2019–2025 · 19 paperscurrent🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2022–2023 · 3 papers🎓Indian Institute of Technology IndoreIndore · India2018 · 3 papers🎓Indian Institute of Technology DelhiNew Delhi · India2017–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Systematic Generalization: What Is Required and Can It Be Learned? (2018 · 73 citations)
   The authors test whether neural models of grounded language understanding can generalize systematically, that is, correctly understand new combinations of words they have already seen.
2. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations (2025 · 4 citations)
   The authors test whether the quality of syntactic probing can predict how a language model performs on targeted grammatical tests.

All works

19 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLuke Vilnis et al.2018 · 144 citations
2. Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShikhar Murty et al.2018 · 120 citations
3. Systematic Generalization: What Is Required and Can It Be Learned?arXiv:1811.12889Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.2018 · 73 citations
4. Iterative Search for Weakly Supervised Semantic Parsing ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetPradeep Dasigi et al.2019 · 71 citations
5. CLOSURE: Assessing Systematic Generalization of CLEVR Models ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2019 · 67 citations
6. ExpBERT: Representation Engineering with Natural Language Explanations ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetShikhar Murty, Pang Wei Koh, Percy Liang2020 · 52 citations
7. Characterizing Intrinsic Compositionality in Transformers with Tree Projections ↗arXiv (Cornell University) · no summary yetShikhar Murty et al.2022 · 43 citations
8. Grokking of Hierarchical Structure in Vanilla Transformers ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetShikhar Murty et al.2023 · 39 citations
9. Fixing Model Bugs with Natural Language Patches ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetShikhar Murty et al.2022 · 39 citations
10. DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetShikhar Murty, Tatsunori B. Hashimoto, Christopher Manning2021 · 27 citations
11. BAGEL: Bootstrapping Agents by Guiding Exploration with Language ↗arXiv (Cornell University) · no summary yetShikhar Murty et al.2024 · 19 citations
12. NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild ↗arXiv (Cornell University) · no summary yetShikhar Murty et al.2024 · 19 citations
13. Pushdown Layers: Encoding Recursive Structure in Transformer Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetShikhar Murty et al.2023 · 16 citations
14. MrT5: Dynamic Token Merging for Efficient Byte-level Language Models ↗arXiv (Cornell University) · no summary yetJulie Kallini et al.2024 · 9 citations
15. On Measuring the Intrinsic Few-Shot Hardness of Datasets ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetXinran Zhao, Shikhar Murty, Christopher Manning2022 · 9 citations
16. Sneaking Syntax into Transformer Language Models with Tree Regularization ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetAnanjan Nandi, Christopher D Manning, Shikhar Murty2025 · 5 citations
17. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.2025 · 4 citations
18. WebDS: An End-to-End Benchmark for Web-based Data Science ↗arXiv (Cornell University) · no summary yetHsu, Ethan et al.2025 · 1 citation
19. Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space ↗arXiv (Cornell University) · no summary yetHoujun Liu et al.2025

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Aaron Courville
• Christopher D. Manning
• Dzmitry Bahdanau
• Harm de Vries
• Thien Huu Nguyen

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×4: EMNLP 2025
• Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×4
• Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) ×2
• Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 368 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated 2 November 2026

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