Papers by Dipanwita Guhathakurta
How Inclusively do LMs Perceive Social and Moral Norms? (2025.findings-naacl)
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| Challenge: | Language models (LMs) are used in decision-making systems and as interactive assistants. |
| Approach: | They propose to prompt 11 LMs on rules-of-thumb and compare their outputs with 100 human annotators. |
| Outcome: | The proposed model is compared with 100 human annotators to find out if they are inclusive of diverse human values. |
Tweet Based Reach Aware Temporal Attention Network for NFT Valuation (2022.findings-emnlp)
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Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Neerkaje, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava
| Challenge: | Non-Fungible Tokens (NFTs) are a relatively unexplored class of assets due to their extremely volatile nature. |
| Approach: | They propose a reach-aware temporal learning approach to predict future NFT trends from a dataset consisting of over 1.3 million tweets and 180 thousand NFT transactions . |
| Outcome: | The proposed model outperforms state-of-the-art models by an average of 36% on a dataset consisting of over 1.3 million tweets and 180 thousand NFT transactions spanning over 15 NFT collections. |