1 citations · 4 across the 14 of their papers we have counts for
14 papers
Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild
Karan Goyal, Dikshant Kukreja, Vikram Goyal +1
Proper citation of relevant literature is essential for contextualising and validating scientific contributions. While current citation recommendation systems leverage local and gl…
CAGE: Bridging the Accuracy-Aesthetics Gap in Educational Diagrams via Code-Anchored Generative Enhancement
Dikshant Kukreja, Kshitij Sah, Karan Goyal +2
Educational diagrams -- labeled illustrations of biological processes, chemical structures, physical systems, and mathematical concepts -- are essential cognitive tools in K-12 ins…
DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs
Dikshant Kukreja, Kshitij Sah, Karan Goyal +2
When asked to describe a molecular diagram, a Vision-Language Model correctly identifies ``a benzene ring with an -OH group.'' When asked to reason about the same image, it answers…
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech
Neemesh Yadav, Sarah Masud, Vikram Goyal +2
Employing language models to generate explanations for an incoming implicit hate post is an active area of research. The explanation is intended to make explicit the underlying ste…
SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation
Karan Goyal, Mayank Goel, Vikram Goyal +1
Citing pertinent literature is pivotal to writing and reviewing a scientific document. Existing techniques mainly focus on the local context or the global context for recommending…
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection
Sarah Masud, Mohammad Aflah Khan, Vikram Goyal +2
Despite the widespread adoption, there is a lack of research into how various critical aspects of pretrained language models (PLMs) affect their performance in hate speech detectio…
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization
Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
Abstractive text summarization is surging with the number of training samples to cater to the needs of the deep learning models. These models tend to exploit the training data repr…
MWPRanker: An Expression Similarity Based Math Word Problem Retriever
Mayank Goel, Venktesh V, Vikram Goyal
Math Word Problems (MWPs) in online assessments help test the ability of the learner to make critical inferences by interpreting the linguistic information in them. To test the mat…
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents
Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
The realm of scientific text summarization has experienced remarkable progress due to the availability of annotated brief summaries and ample data. However, the utilization of mult…
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
Atharva Kulkarni, Sarah Masud, Vikram Goyal +1
Social media is awash with hateful content, much of which is often veiled with linguistic and topical diversity. The benchmark datasets used for hate speech detection do not accoun…
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising
Rishabh Gupta, Venktesh V., Mukesh Mohania +1
In this paper, we propose SCANING, an unsupervised framework for paraphrasing via controlled noise injection. We focus on the novel task of paraphrasing algebraic word problems hav…
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms
Maksimjeet Chowdhary, Sanyam Goyal, Venktesh V +2
Online learning platforms provide diverse questions to gauge the learners' understanding of different concepts. The repository of questions has to be constantly updated to ensure a…
TagRec++: Hierarchical Label Aware Attention Network for Question Categorization
Venktesh Viswanathan, Mukesh Mohania, Vikram Goyal
Online learning systems have multiple data repositories in the form of transcripts, books and questions. To enable ease of access, such systems organize the content according to a…
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction
Venktesh V, Md. Shad Akhtar, Mukesh Mohania +1
Online learning platforms conduct exams to evaluate the learners in a monotonous way, where the questions in the database may be classified into Bloom's Taxonomy as varying levels…