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Shreya Singhal

dblp:295/6375 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 77% Efficient and distributed learning · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › language modeling
scaling behavior		 0.912025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions · EMNLP 2025

Methods — techniques the papers use, named apart from their topics

scaling laws · 0.9ablation study · 0.9
YearPublicationVenuePosition
2025 Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
abstract
Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig
 EMNLP8
2025 Multimodal sentiment analysis of english and hinglish memes
Aishvi Guleria, Kamya Varshney, Garima Pahwa, Shreya Singhal, Nonita Sharma
 Multim. Tools Appl.4
2024 De-Identifying Student Personally Identifying Information with GPT-4
Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan Baker 0001
 EDM1
2023 Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments
abstract
Recent advances in artificial intelligence have led to the development of large language models (LLMs), which are able to generate text, images, and source code based on prompts provided by humans. In this paper, we explore the capabilities of an LLM - OpenAI's GPT-3 model to provide feedback for student written code. Specifically, we examine the feasibility of GPT-3 to check, critique and suggest changes to code written by learners in an online programming exam of an undergraduate Python programming course.
Rishabh Balse, Bharath Valaboju, Shreya Singhal, Jayakrishnan Madathil Warriem, Prajish Prasad
 ITiCSE (1)3