most citedExploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

1 citations · 2 across the 4 of their papers we have counts for

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5 papers

cs.SD2026

From Detection To Anticipation: Continuous Onset Forecasting For Stuttered Speech

Tampu Ravi Kumar, Ayoub Daliri, Vivek Gupta

Automatic stuttering systems primarily detect dysfluencies after they have occurred, limiting their use for anticipatory intervention. We address this gap by formulating stuttering…

cs.CL2026

DIAGRAMS: A Review Framework for Reasoning-Level Attribution in Diagram QA

Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Manan Suri +4

Diagram question answering (Diagram QA) requires reasoning-level attribution that links each question-answer pair to all visual regions needed to derive the answer, rather than onl…

cs.CV2026

DRAGON: A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams

Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Gaurav Najpande +4

Diagram question answering (DQA) requires models to interpret structured visual representations such as charts, maps, infographics, circuit schematics, and scientific diagrams. Rec…

cs.CL2023★ 1 cited

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta +3

Numbers are crucial for various real-world domains such as finance, economics, and science. Thus, understanding and reasoning with numbers are essential skills for language models…

cs.CL2023★ 1 cited

ChartCheck: Explainable Fact-Checking over Real-World Chart Images

Mubashara Akhtar, Nikesh Subedi, Vivek Gupta +3

Whilst fact verification has attracted substantial interest in the natural language processing community, verifying misinforming statements against data visualizations such as char…