--- title: "Sameer Singh — papers and cards" description: "Sameer Singh: 2 paper cards in the Research library (2019–2020), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/sameer-singh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sameer-singh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sameer Singh # Sameer Singh 2 paper cards in the Research library · 2019–2020 Sameer Singh wrote 2 of the papers Mova reads, in 2019–2020; often with [Dheeru Dua](https://md.research.elamur.ai/free/en/authors/dheeru-dua/), [Matt Gardner](https://md.research.elamur.ai/free/en/authors/matt-gardner/), [Pradeep Dasigi](https://md.research.elamur.ai/free/en/authors/pradeep-dasigi/). [OpenAlex](https://openalex.org/A5005779128) · [ORCID](https://orcid.org/0000-0003-0621-6323) · [**h-index 70**](https://openalex.org/authors/A5005779128) · [43899 citations](https://openalex.org/authors/A5005779128) · [424 works](https://openalex.org/works?filter=author.id:A5005779128) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Sameer+Singh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sameer+Singh) · [dblp](https://dblp.org/search?q=Sameer+Singh) · [ACL Anthology](https://aclanthology.org/search/?q=Sameer+Singh) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Sameer+Singh) ## Papers 1. **[Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)** *(2020)* `measured` Standard test sets come from the same distribution as the training data, so a dataset with systematic gaps or annotation artifacts lets models score well with shallow heuristics. 2. **[DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs](https://md.research.elamur.ai/free/en/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/)** *(2019)* DROP has 96,567 questions on about 7,000 Wikipedia passages rich in numbers (American-football game summaries, history), written adversarially against a reading model so that answering needs discrete operations over several places in the text. ## Co-authors (27) - [Dheeru Dua](https://md.research.elamur.ai/free/en/authors/dheeru-dua/) ×2 - [Matt Gardner](https://md.research.elamur.ai/free/en/authors/matt-gardner/) ×2 - [Pradeep Dasigi](https://md.research.elamur.ai/free/en/authors/pradeep-dasigi/) ×2 - [Ally Zhang](https://md.research.elamur.ai/free/en/authors/ally-zhang/) - Ananth Gottumukkala - Ben Bogin - Ben Zhou - [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/) - Eric Wallace - Gabriel Ilharco - [Gabriel Stanovsky](https://md.research.elamur.ai/free/en/authors/gabriel-stanovsky/) - [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) - [Jiangming Liu](https://md.research.elamur.ai/free/en/authors/jiangming-liu/) - Jonathan Berant - Kevin Lin - [Nelson F. Liu](https://md.research.elamur.ai/free/en/authors/nelson-f-liu/) - Nitish Gupta - [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) - Phoebe Mulcaire - [Qiang Ning](https://md.research.elamur.ai/free/en/authors/qiang-ning/) - [Reut Tsarfaty](https://md.research.elamur.ai/free/en/authors/reut-tsarfaty/) - Sanjay Subramanian - Sihao Chen - Victoria Basmov - Yanai Elazar - Yizhong Wang - [Yoav Artzi](https://md.research.elamur.ai/free/en/authors/yoav-artzi/) ## More papers in the library (12) Pages of the Research library: our summary, the ideas, references and who cites each. - [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/) — Robert Logan IV, Ivana Balazevic, Eric Wallace, et al. · 2022 - [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/) — Yasaman Razeghi, Robert L Logan IV, Matt Gardner, et al. · 2022 - [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2021-calibrate-before-use-improving-few/) — Tony Z. Zhao, Eric Wallace, Shi Feng, et al. · 2021 - [Entity-Based Knowledge Conflicts in Question Answering](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/) — Shayne Longpre, Kartik Perisetla, Anthony Chen, et al. · 2021 - [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/) — Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al. · 2020 - [Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) — Sewon Min, Eric Wallace, Sameer Singh, et al. · 2019 - [Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/) — Eric Wallace, Yizhong Wang, Sujian Li, et al. · 2019 - [Interpretation of Natural Language Rules in Conversational Machine Reading](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/) — Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al. · 2018 - ["Why Should I Trust You?": Explaining the Predictions of Any Classifier](https://md.research.elamur.ai/free/en/papers/ribeiro-2016-why-should-i-trust-explaining/) — Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin · 2016 - [Dynamic Knowledge-Base Alignment for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/zheng-2013-dynamic-knowledge-base-alignment-coreference/) — Jiaping Zheng, Luke Vilnis, Sameer Singh, et al. · 2013 - [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/) — Michael Wick, Sameer Singh, Andrew McCallum · 2012 - [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/) — Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al. · 2011