Papers by Maheep Chaudhary
Punctuations and Predicates in Language Models (2026.findings-eacl)
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| Challenge: | Recent work has shown that LLMs perform tasks in ways that diverge significantly from human reasoning. |
| Approach: | They examine the computational importance of punctuation tokens in large language models . they use zeroing and layer-swapping techniques to examine their necessity and sufficiency . |
| Outcome: | The proposed model differs in GPT-2, DeepSeek, and Gemma in that punctuation is necessary and sufficient in multiple layers . the findings offer new insight into the internal mechanisms of punctuations in LLMs and have implications for interpretability and model analysis. |
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification (2024.emnlp-main)
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| Challenge: | a novel dataset of text-embedded images associated with the LGBTQ+ Pride movement is presented in this paper . a new framework for analyzing text-based images is proposed to address this challenge . |
| Approach: | They propose a new dataset for machine learning that includes hate, targets of hate, stance, humor and a framework for efficient downstream learning while preserving the knowledge of the pre-trained CLIP model. |
| Outcome: | The proposed framework achieves superior performance on two real-world datasets. |