1 citations · 2 across the 6 of their papers we have counts for
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Evaluating Cross-lingual Knowledge Consistency in Code-Mixed vis-a-vis Indian Languages using IndicKLAR
Debajyoti Mazumder, Divyansh Pathak, Prashant Kodali +3
Large language models often exhibit a substantial gap between their performance in English and in lower-resourced languages on equivalent knowledge queries---a cross-lingual consis…
Neither Here Nor There: Cross-Lingual Representation Dynamics of Code-Mixed Text in Multilingual Encoders
Debajyoti Mazumder, Divyansh Pathak, Prashant Kodali +1
Multilingual encoder-based language models are widely used for code-mixed analysis, yet their internal representations of code-mixed inputs -- and their relationship to the constit…
On VLMs for Diverse Tasks in Multimodal Meme Classification
Deepesh Gavit, Debajyoti Mazumder, Samiran Das +1
In this paper, we present a comprehensive and systematic analysis of vision-language models (VLMs) for disparate meme classification tasks. We introduced a novel approach that gene…
Entailed Opinion Matters: Improving the Fact-Checking Performance of Language Models by Relying on their Entailment Ability
Gaurav Kumar, Ayush Garg, Debajyoti Mazumder +3
Automated fact-checking has been a challenging task for the research community. Prior work has explored various strategies, such as end-to-end training, retrieval-augmented generat…
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection
Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
In this paper, we reported our experiments with various strategies to improve code-mixed humour and sarcasm detection. Particularly, we tried three approaches: (i) native sample mi…
Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario
Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
Hate detection has long been a challenging task for the NLP community. The task becomes complex in a code-mixed environment because the models must understand the context and the h…