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Vagrant Gautam

Vagrant Gautam has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, English, Coreference resolution; often with Anne Lauscher, Dietrich Klakow, Iryna Gurevych.

5 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 3 · 47 works · 104 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 26 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10473

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.

 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. WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case (2024 · 9 citations)
    Winogender Schemas are a widely used benchmark for gender bias in coreference resolution. The authors audit it and find problems that make its measurements unreliable. Pronoun forms in different grammatical cases are counted as if they were interchangeable, and their counts are very uneven. Some paired templates…
  2. A Lightweight Method to Generate Unanswerable Questions in English (2023 · 6 citations)
    Extractive QA systems tend to produce a plausible-looking span even when the passage does not contain the answer.
  3. Aligned Probing: Relating Toxic Behavior and Model Internals (2026 · 1 citation)
    Work on LM toxicity usually judges models only by what they generate and treats toxicity as one uniform category.
  4. Whose Facts Win? LLM Source Preferences under Knowledge Conflicts (2026 · 1 citation)
    LLMs used in retrieval-augmented generation often receive passages that contradict each other. Earlier work on these inter-context knowledge conflicts did not ask whether the attributed source affects which version a model believes, and this paper addresses that gap. The authors built a controlled English testbed.…
  5. GRUFF: LLM Pronoun Fidelity, Reasoning, and Biases in German (2026)
    Pronoun fidelity asks whether a model, after learning which pronoun a person uses, keeps using that pronoun later even when sentences about other people come in between.

All works

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

  1. Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? ↗Transactions of the Association for Computational Linguistics · no summary yetVagrant Gautam et al.2024 · 17 citations
  2. GRUFF: LLM Pronoun Fidelity, Reasoning, and Biases in GermanarXiv:2605.30214Fabian Mewes, Anne Lauscher, Vagrant Gautam2026

 Co-authors here

6 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 26 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

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