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Dipankar Srirag

Dipankar Srirag has 5 papers in our library, in 2024–2026, most of them on English, Language models & pretraining, Evaluation & benchmarks; often with Aditya Joshi, Diptesh Kanojia, Jordan Painter.

5 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 2 · 24 works · 23 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 18 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #9493

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

🎓UNSW SydneySydney · Australia2022–2028 · 20 papersEducation 2022–2024 · Master of Information Technology, Computer Science and EngineeringEducation 2025–2028 · Doctor of Philosophy, School of Computer Science and EngineeringEmployment since 2025 · PhD Candidate, School of Computer Science and Engineeringcurrent🎓Manipal Academy of Higher EducationManipal · India2018–2022 · 1 paperEducation 2018–2022 · Bachelor of Technology in Information Technology, Department of Information and Communication Technology

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksArts and Humanities · 5 worksComputer Science · 5 worksLanguage and Linguistics · 5 works

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 2 worksEnglish · 3 worksSentiment & emotion · 1 work

 Works by year

2020s

20262 papers20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating Dialect Robustness of Language Models via Conversation Understanding (2025 · 10 citations)
    The paper asks whether LLMs that perform well on English understand conversations equally well when the speakers use Indian English rather than US English.
  2. Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models (2025 · 4 citations)
    Earlier dialect adapters, which help language models handle non-mainstream English varieties, were built for encoder models.
  3. DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation (2026)
    The paper argues that today's LLMs can usually read regional Englishes but almost always reply in a standard, US-leaning variety.
  4. Far Out: Evaluating Language Models on Slang in Australian and Indian English (2026)
    The paper asks whether current language models understand regional slang beyond Standard American English.
  5. Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English (2024)
    Most sentiment benchmarks are built around Standard American English, so little is known about how well models handle other national varieties.

All works

8 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. Evaluating Dialect Robustness of Language Models via Conversation UnderstandingWorkshop on Scaling Up Multilingual EvaluationDipankar Srirag, Nihar Ranjan Sahoo, Aditya Joshi2025 · 10 citations
  2. BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetDipankar Srirag et al.2025 · 6 citations
  3. Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dipankar Srirag, Aditya Joshi, Jacob Eisenstein2025 · 4 citations
  4. DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect AdaptationarXiv:2607.07669Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.2026
  5. Far Out: Evaluating Language Models on Slang in Australian and Indian EnglishWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi2026
  6. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026
  7. Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English ↗Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association · no summary yetIshmanbir Singh, Dipankar Srirag, Aditya Joshi2025
  8. Experiences from Creating a Benchmark for Sentiment Classification for Varieties of EnglisharXiv:2410.11216Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.2024

 Co-authors here

4 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 18 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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