Elamur Research⌕
☰
home / authors / Vishal Maini

Vishal Maini

Vishal Maini has 2 papers in our library, in 2018–2019, most of them on Language models & pretraining, Sentiment & emotion, Evaluation & benchmarks; often with Dani Yogatama, Huan Zhang, Jack W. Rae.

2 papers in our library · 2018–2019

OpenAlex · h-index 3 · 3 works · 260 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 191 times in our library · ⭐ Paper Stars ranking: #5306

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

🎓University College LondonLondon · United Kingdom2019–2020 · 2 paperscurrent

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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workSentiment & emotion · 1 work

 Works by year

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Scalable agent alignment via reward modeling: a research direction (2018 · 227 citations)
    Reinforcement learning thrives when a task has an explicit score, as in Atari or Go. Most practical jobs, such as handling email, writing software or managing a business, offer no built-in reward, and the user's goal exists only implicitly. The authors call this the agent alignment problem: making an agent act as its…
  2. Reducing Sentiment Bias in Language Models via Counterfactual Evaluation (2019 · 104 citations)
    The paper examines whether text produced by large language models carries sentiment bias, where the tone of a continuation shifts depending on which country, occupation or person name appears in the prompt.

 Co-authors here

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

 Cited by

Papers of our library cite their works 191 times (of the 149,439 papers whose bibliographies we read); 69 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/vishal-maini/