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Yicheng Wang

Yicheng Wang has 2 papers in our library, in 2018, most of them on Reasoning, Question answering; often with Mohit Bansal, Yixin Nie.

2 papers in our library · 2018

OpenAlex · ORCID · h-index 24 · 197 works · 2,373 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 111 times in our library · ⭐ Paper Stars ranking: #3990

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. 59 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.

 Works by year

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Commonsense for Generative Multi-Hop Question Answering Tasks (2018 · 229 citations)
    Most reading-comprehension QA research targets extractive, fact-lookup questions. This EMNLP 2018 paper addresses the harder generative setting of NarrativeQA. There, answers must be composed from several scattered parts of a long story, and they often depend on implicit links that people bridge with everyday…
  2. Analyzing Compositionality-Sensitivity of NLI Models (2018 · 119 citations)
    NLI systems reach near-human accuracy on SNLI and MNLI. This paper asks whether they use sentence structure or mostly match words. The authors test seven strong models, both sentence encoders and co-attention models. They build two rule-based adversaries that keep the vocabulary of the premise but change its meaning.…

 Co-authors here

2 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 111 times (of the 141,840 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

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