5 citations · 11 across the 8 of their papers we have counts for
9 papers
TopoBench: Benchmarking LLMs on Hard Topological Reasoning
Mayug Maniparambil, Nils Hoehing, Janak Kapuriya +5
Solving topological grid puzzles requires reasoning over global spatial invariants such as connectivity, loop closure, and region symmetry and remains challenging for even the most…
A Progressive Evaluation Framework for Multicultural Analysis of Story Visualization
Janak Kapuriya, Ali Hatami, Paul Buitelaar
Recent advancements in text-to-image generative models have improved narrative consistency in story visualization. However, current story visualization models often overlook cultur…
Semantic Frame Aggregation-based Transformer for Live Video Comment Generation
Anam Fatima, Yi Yu, Janak Kapuriya +2
Live commenting on video streams has surged in popularity on platforms like Twitch, enhancing viewer engagement through dynamic interactions. However, automatically generating cont…
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
Janak Kapuriya, Anwar Shaikh, Arnav Goel +8
In this study, we introduce Vision-Caption aware Supervised FineTuning (VCASFT), a novel learning paradigm designed to enhance the performance of smaller Vision Language Models(VLM…
Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs
Janak Kapuriya, Aman Singh, Jainendra Shukla +1
Traditional mental health support systems often generate responses based solely on the user's current emotion and situations, resulting in superficial interventions that fail to ad…
Exploring the Role of Diversity in Example Selection for In-Context Learning
Janak Kapuriya, Manit Kaushik, Debasis Ganguly +1
In-Context Learning (ICL) has gained prominence due to its ability to perform tasks without requiring extensive training data and its robustness to noisy labels. A typical ICL work…
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
Avinash Anand, Janak Kapuriya, Apoorv Singh +5
While Large Language Models (LLMs) can achieve human-level performance in various tasks, they continue to face challenges when it comes to effectively tackling multi-step physics r…
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering
Janak Kapuriya, Chhavi Kirtani, Apoorv Singh +7
Recent advancements in LLMs have shown their significant potential in tasks like text summarization and generation. Yet, they often encounter difficulty while solving complex physi…
Deep Learning Based Named Entity Recognition Models for Recipes
Mansi Goel, Ayush Agarwal, Shubham Agrawal +6
Food touches our lives through various endeavors, including flavor, nourishment, health, and sustainability. Recipes are cultural capsules transmitted across generations via unstru…