---
title: "Sameer Singh — all works — Elamur Research"
description: "All 41 works of Sameer Singh in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/sameer-singh/works/"
---
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# Sameer Singh — all works

41 works · [← Sameer Singh](https://md.research.elamur.ai/free/en/authors/sameer-singh/)

1. **[AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://md.research.elamur.ai/free/en/papers/shin-2020-autoprompt-eliciting-knowledge-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.*2020 · 1,909 citations*
2. **[Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ↗](https://aclanthology.org/2020.acl-main.442/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Marco Tulio Ribeiro et al.*2020 · 1,399 citations*
3. [**"Why Should I Trust You?": Explaining the Predictions of Any Classifier arXiv:1602.04938**Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin*2016 · 1,205 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2016-why-should-i-trust-explaining/)
4. **[Universal Adversarial Triggers for Attacking and Analyzing NLP ↗](https://aclanthology.org/D19-1221/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Eric Wallace et al.*2019 · 989 citations*
5. [**DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs**Dheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.*English · 960 citations*](https://md.research.elamur.ai/free/en/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/)
6. **[Knowledge Enhanced Contextual Word Representations ↗](https://aclanthology.org/D19-1005/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Matthew E. Peters et al.*2019 · 942 citations*
7. [**Calibrate Before Use: Improving Few-Shot Performance of Language Models arXiv:2102.09690**Tony Z. Zhao, Eric Wallace, Shi Feng, et al.*2021 · 825 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2021-calibrate-before-use-improving-few/)
8. **[Semantically Equivalent Adversarial Rules for Debugging NLP models ↗](https://aclanthology.org/P18-1079/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin*2018 · 629 citations*
9. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*Mova's core list · 531 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
10. **[Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 352 citations*
11. **[Entity Linking via Joint Encoding of Types, Descriptions, and Context](https://md.research.elamur.ai/free/en/papers/gupta-2017-entity-linking-joint-encoding-types/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nitish Gupta, Sameer Singh, Dan Roth*2017 · 299 citations*
12. **[Entity-Based Knowledge Conflicts in Question Answering](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shayne Longpre, Kartik Perisetla, Anthony Chen, et al.*2021 · 298 citations*
13. **[COVIDLies: Detecting COVID-19 Misinformation on Social Media](https://md.research.elamur.ai/free/en/papers/hossain-2020-covidlies-detecting-covid-19-misinformation/) [Workshop on NLP for COVID-19 at ACL](https://md.research.elamur.ai/free/en/venues/nlpcovid19/)**Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, et al.*2020 · 271 citations*
14. **[Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling ↗](https://aclanthology.org/P19-1598/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Robert Logan et al.*2019 · 247 citations*
15. **[Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 235 citations*
16. **[Interpretation of Natural Language Rules in Conversational Machine Reading](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 230 citations*
17. **[Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/iv-2022-cutting-down-prompts-parameters-simple/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Robert Logan IV, Ivana Balazevic, Eric Wallace, et al.*2022 · 216 citations*
18. **[AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models](https://md.research.elamur.ai/free/en/papers/wallace-2019-allennlp-interpret-framework-explaining-predictions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Wallace, Jens Tuyls, Junlin Wang, et al.*2019 · 182 citations*
19. **[Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/razeghi-2022-impact-pretraining-term-frequencies-few/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.*2022 · 165 citations*
20. **[Are Red Roses Red? Evaluating Consistency of Question-Answering Models ↗](https://aclanthology.org/P19-1621/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh*2019 · 158 citations*
21. **[Embedding Multimodal Relational Data for Knowledge Base Completion ↗](https://aclanthology.org/D18-1359/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pouya Pezeshkpour, Liyan Chen, Sameer Singh*2018 · 156 citations*
22. **[ART: Automatic multi-step reasoning and tool-use for large language models ↗](https://arxiv.org/abs/2303.09014) arXiv:2303.09014 · no summary yet**Bhargavi Paranjape et al.*2023 · 154 citations*
23. **[Concealed Data Poisoning Attacks on NLP Models ↗](https://aclanthology.org/2021.naacl-main.13/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Eric Wallace et al.*2021 · 153 citations*
24. **[Evaluating Question Answering Evaluation ↗](https://aclanthology.org/D19-5817/) Proceedings of the 2nd Workshop on Machine Reading for Question Answering · no summary yet**Anthony Chen et al.*2019 · 153 citations*
25. **[Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al.*2011 · 151 citations*
26. **[Competency Problems: On Finding and Removing Artifacts in Language Data ↗](https://aclanthology.org/2021.emnlp-main.135/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Matt Gardner et al.*2021 · 144 citations*
27. **[ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension ↗](https://aclanthology.org/2022.acl-long.357/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Sanjay Subramanian et al.*2022 · 142 citations*
28. **[Connotation Frames: A Data-Driven Investigation ↗](https://aclanthology.org/P16-1030/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hannah Rashkin, Sameer Singh, Yejin Choi*2016 · 124 citations*
29. **[Neural Module Networks for Reasoning over Text ↗](https://arxiv.org/abs/1912.04971) arXiv (Cornell University) · no summary yet**Nitish Gupta et al.*2019 · 114 citations*
30. **[MedICaT: A Dataset of Medical Images, Captions, and Textual References ↗](https://aclanthology.org/2020.findings-emnlp.191/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Sanjay Subramanian et al.*2020 · 100 citations*
31. **[What's In My Big Data? ↗](https://arxiv.org/abs/2310.20707) arXiv:2310.20707 · no summary yet**Yanai Elazar et al.*2023 · 92 citations*
32. **[Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications ↗](https://aclanthology.org/N19-1337/) 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 yet**Pouya Pezeshkpour, Yifan Tian, Sameer Singh*2019 · 80 citations*
33. **[A Discriminative Hierarchical Model for Fast Coreference at Large Scale](https://md.research.elamur.ai/free/en/papers/wick-2012-discriminative-hierarchical-model-fast-coreference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Wick, Sameer Singh, Andrew McCallum*2012 · 57 citations*
34. [**PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions arXiv:2305.14908**Anthony Chen, Panupong Pasupat, Sameer Singh, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-purr-efficiently-editing-language-model/)
35. **[Dynamic Knowledge-Base Alignment for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/zheng-2013-dynamic-knowledge-base-alignment-coreference/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Jiaping Zheng, Luke Vilnis, Sameer Singh, et al.*2013 · 27 citations*
36. **[Better call Saul: Flexible Programming for Learning and Inference in NLP ↗](https://aclanthology.org/C16-1285/) Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers · no summary yet**Parisa Kordjamshidi et al.*2016 · 16 citations*
37. **[Paired Examples as Indirect Supervision in Latent Decision Models ↗](https://aclanthology.org/2021.emnlp-main.466/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Nitish Gupta et al.*2021 · 9 citations*
38. **[Nudging: Inference-time Alignment of LLMs via Guided Decoding](https://md.research.elamur.ai/free/en/papers/fei-2025-nudging-inference-time-alignment-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Fei, Yasaman Razeghi, Sameer Singh*2025 · 8 citations*
39. **[Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations](https://md.research.elamur.ai/free/en/papers/seshadri-2026-lost-simulation-llm-simulated-users/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde, et al.*2026 · 5 citations*
40. **[Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks ↗](https://arxiv.org/abs/1707.07794) arXiv (Cornell University) · no summary yet**Parisa Kordjamshidi et al.*2017 · 4 citations*
41. **[Multi-Label Learning with Posterior Regularization ↗](https://openalex.org/W7095817811) no summary yet**Xi Victoria Lin et al.*2016*