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Kawshik Manikantan

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

2 papers in our library · 2024–2025

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📄 2 works in our library · 🔗 Cited 13 times in our library · ⭐ Paper Stars ranking: #9296

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

 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…

 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 13 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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