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Shashank Srivastava

Shashank Srivastava has 3 papers in our library, in 2013–2021, most of them on Coreference resolution, Reasoning; often with Mohit Bansal, Colin Raffel, Derek Tam.

3 papers in our library · 2013–2021

OpenAlex · ORCID · h-index 13 · 56 works · 381 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1,298 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4145

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workCoreference resolution · 1 work

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Improving and Simplifying Pattern Exploiting Training (2021 · 184 citations)
    Large language models such as GPT-3 can handle tasks from only a handful of labeled examples, but their size makes them hard to study or deploy.
  2. PRover: Proof Generation for Interpretable Reasoning over Rules (2020 · 101 citations)
    Clark et al. (2020) showed that RuleTakers, a fine-tuned RoBERTa, can decide whether a statement follows from facts and rules written in English. However, it gives no justification for its answers. PRover addresses this by producing an answer together with an explicit proof. Each proof is a directed graph whose nodes…
  3. A Structured Distributional Semantic Model for Event Co-reference (2013 · 24 citations)
    Standard distributional semantic models treat context as a bag of words, so they cannot tell "Booth killed Lincoln" apart from "Lincoln killed Booth." They also compose meaning poorly.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Kerem Zaman, Shashank Srivastava2026 · 3 citations
  2. Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models · original ↗ · no summary yet · Proceedings of the 2023 Conference on Empirical Methods in Natural Language…Yiyuan Li et al.2023 · 2 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 1,298 times (of the 141,840 papers whose bibliographies we read); 192 citing papers with a page here →.

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