activity
20202026
most citedCLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning

49 citations · 71 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

LogicVal:A Logic-Formalized Benchmark for Constraint Satisfaction in Text-to-Image Generation

Savitha Sam Abraham, Marjan Alirezaie, Hossein Rahnama

Text-to-Image (T2I) generative models have made significant progress in producing high-fidelity images from natural-language prompts. Alongside this progress, numerous benchmarks h…

cs.AI2024

To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation

Savitha Sam Abraham, Sourav Garg, Feras Dayoub

Recent research in Vision Language Navigation (VLN) has overlooked the development of agents' inquisitive abilities, which allow them to ask clarifying questions when instructions…

cs.CL2023★ 2 cited

REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection

Anoop Kadan, Deepak P., Manjary P. Gangan +2

Technological advancements in web platforms allow people to express and share emotions towards textual write-ups written and shared by others. This brings about different interesti…

cs.LG2022★ 49 cited

CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning

Adam Dahlgren Lindström, Savitha Sam Abraham

We introduce CLEVR-Math, a multi-modal math word problems dataset consisting of simple math word problems involving addition/subtraction, represented partly by a textual descriptio…

cs.CL2022★ 7 cited

Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers

Sowmya S Sundaram, Sairam Gurajada, Marco Fisichella +2

From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP). It is a challenging…

cs.CY2020★ 13 cited

Representativity Fairness in Clustering

Deepak P, Savitha Sam Abraham

Incorporating fairness constructs into machine learning algorithms is a topic of much societal importance and recent interest. Clustering, a fundamental task in unsupervised learni…