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Makarand Tapaswi

Makarand Tapaswi has 2 papers in our library, in 2024–2025, most of them on Coreference resolution, Language models & pretraining, Evaluation & benchmarks; often with Kawshik Manikantan, Shubham Toshniwal, Vineet Gandhi.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 23 · 92 works · 2,508 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 192 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #9298

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. 2 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

 Papers

The most cited first (OpenAlex and our library).

  1. Major Entity Identification: A Generalizable Alternative to Coreference Resolution (2024 · 13 citations)
    Coreference resolution (CR) systems transfer poorly to new domains. A major cause is that benchmarks disagree about what counts as a mention. The authors avoid annotating more target-domain data and instead reframe the problem as Major Entity Identification (MEI). The user supplies a short designative phrase for each…
  2. IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs (2025 · 4 citations)
    Traditional coreference evaluation asks models to reproduce span clusters. This penalizes LLMs whenever their mention boundaries or entity definitions differ from a dataset's own conventions, so their real grasp of reference gets blurred. The authors reframe the task as mention resolution in multiple-choice form. A…

All works

9 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. MovieQA: Understanding Stories in Movies through Question-Answering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMakarand Tapaswi et al.2016 · 778 citations
  2. Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetShizhe Chen et al.2022 · 205 citations
  3. Semi-supervised Learning with Constraints for Person Identification in Multimedia Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMartin Bäuml, Makarand Tapaswi, Rainer Stiefelhagen2013 · 120 citations
  4. Book2Movie: Aligning video scenes with book chapters ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMakarand Tapaswi, Martin Bäuml, Rainer Stiefelhagen2015 · 96 citations
  5. Total Cluster ↗Indian Conference on Computer Vision, Graphics and Image Processing · no summary yetMakarand Tapaswi et al.2014 · 31 citations
  6. The Sound of Water: Inferring Physical Properties from Pouring Liquids ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetPiyush Bagad et al.2025 · 3 citations
  7. More than a Moment: Towards Coherent Sequences of Audio Descriptions ↗arXiv (Cornell University) · no summary yetEshika Khandelwal et al.2025

 Co-authors here

3 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 192 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

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