Papers by Yogesh Kumar
Language-Guided Temporal Token Pruning for Efficient VideoLLM Processing (2025.emnlp-main)
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| Challenge: | Current models struggle with long-form videos due to the quadratic complexity of attention mechanisms. |
| Approach: | They propose a model-agnostic framework that leverages temporal cues from queries to prune video tokens. |
| Outcome: | The proposed framework reduces computation by 65% while preserving 97-99% of original performance. |
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse (2022.lrec-1)
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Ritesh Kumar, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal, Atul Kr. Ojha
| Challenge: | 59,152 comments are annotated with a hierarchical, fine-grained taget marking aggression and bias of various kinds on social media platforms. |
| Approach: | They propose to annotate a multilingual dataset with a hierarchical, fine-grained tagset marking different types of aggression and the "context" in which they occur. |
| Outcome: | The proposed dataset contains 59,152 comments in four languages, mostly code-mixed with English. |