--- title: "Kushal Chawla · Capital One — author profile and papers" description: "Kushal Chawla, Capital One: 3 papers on Elamur Research (2018–2026), h-index 7 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/kushal-chawla/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kushal-chawla/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kushal Chawla # Kushal Chawla Kushal Chawla has 3 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Abhilasha Sancheti](https://md.research.elamur.ai/free/en/authors/abhilasha-sancheti/), [Niyati Chhaya](https://md.research.elamur.ai/free/en/authors/niyati-chhaya/), [Tanya Goyal](https://md.research.elamur.ai/free/en/authors/tanya-goyal/). 3 papers in our library · 2018–2026 [OpenAlex](https://openalex.org/A5070984529) · [ORCID](https://orcid.org/0000-0003-3547-0777) · [**h-index 7**](https://openalex.org/authors/A5070984529) · [52 works](https://openalex.org/works?filter=author.id:A5070984529) · [141 citations](https://openalex.org/works?filter=author.id:A5070984529&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kushal-chawla/#papers) · [🔗 Cited 20 times in our library](https://md.research.elamur.ai/free/en/authors/kushal-chawla/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9169](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9169) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kushal+Chawla) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kushal+Chawla) · [dblp](https://dblp.org/search?q=Kushal+Chawla) · [ACL Anthology](https://aclanthology.org/search/?q=Kushal+Chawla) ## Affiliations [🏢**Capital One** Tysons Corner · United States 2024–2026 · 9 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/capital-one/) · [🎓**University of Southern California** Los Angeles · United States 2019–2024 · 19 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🏢**Adobe Systems** San Jose · United States 2018–2019 · 4 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/) 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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) 🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/kushal-chawla/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/kushal-chawla/year/2020/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/kushal-chawla/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email](https://md.research.elamur.ai/free/en/papers/chhaya-2018-frustrated-polite-or-formal-quantifying/)** *(2018 · 40 citations)* The paper asks whether frustration, a fine-grained affect common in workplace exchanges, can be measured from email text alone. 2. **[LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets](https://md.research.elamur.ai/free/en/papers/sancheti-2020-lynyrdskynyrd-wnut-2020-task-2/)** *(2020 · 4 citations)* The paper presents a system for the W-NUT 2020 shared task, which asks whether an English COVID-19 tweet is "informative," meaning it reports cases, deaths, recoveries, suspected infections, or the locations and travel of patients. 3. **[RAFFLES: Reasoning-based Attribution of Faults for LLM Systems](https://md.research.elamur.ai/free/en/papers/zhu-2026-raffles-reasoning-based-attribution-faults/)** *(2026 · 1 citation)* Multi-step LLM systems such as agent pipelines and long reasoning chains are hard to debug. One early mistake can cascade into failure, and locating it usually requires slow manual inspection. Single-pass LLM-as-a-judge evaluators also struggle with long trajectories. The authors, from Capital One, propose RAFFLES… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email](https://md.research.elamur.ai/free/en/papers/chhaya-2018-frustrated-polite-or-formal-quantifying/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Niyati Chhaya, Kushal Chawla, Tanya Goyal, et al.*2018 · 40 citations* 2. **[Generating Formality-Tuned Summaries Using Input-Dependent Rewards ↗](https://aclanthology.org/K19-1078/) Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) · no summary yet**Kushal Chawla, Balaji Vasan Srinivasan, Niyati Chhaya*2019 · 5 citations* 3. **[LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets](https://md.research.elamur.ai/free/en/papers/sancheti-2020-lynyrdskynyrd-wnut-2020-task-2/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Abhilasha Sancheti, Kushal Chawla, Gaurav Verma*2020 · 4 citations* 4. **[RAFFLES: Reasoning-based Attribution of Faults for LLM Systems](https://md.research.elamur.ai/free/en/papers/zhu-2026-raffles-reasoning-based-attribution-faults/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.*2026 · 1 citation* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Abhilasha Sancheti](https://md.research.elamur.ai/free/en/authors/abhilasha-sancheti/) - [Niyati Chhaya](https://md.research.elamur.ai/free/en/authors/niyati-chhaya/) - [Tanya Goyal](https://md.research.elamur.ai/free/en/authors/tanya-goyal/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2018](https://md.research.elamur.ai/free/en/venues/coling/2018/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/): [Workshop on Noisy User-generated Text 2020](https://md.research.elamur.ai/free/en/venues/wnut/2020/) - Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) ## Cited by Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kushal-chawla/cited-by/). Updated 31 October 2026