Tuhin Chakrabarty

982 total citations · 1 hit paper
30 papers, 433 citations indexed

About

Tuhin Chakrabarty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tuhin Chakrabarty has authored 30 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Tuhin Chakrabarty's work include Topic Modeling (23 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (11 papers). Tuhin Chakrabarty is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (11 papers). Tuhin Chakrabarty collaborates with scholars based in United States, United Kingdom and Canada. Tuhin Chakrabarty's co-authors include Smaranda Muresan, Nanyun Peng, Christopher Hidey, Kathy McKeown, Ralph Weischedel, Thomas Scialom, Vishakh Padmakumar, Philippe Laban, Xurui Zhang and Chien-Sheng Wu and has published in prestigious journals such as Scientific Data, Transactions of the Association for Computational Linguistics and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Tuhin Chakrabarty

28 papers receiving 418 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Art or Artifice? Large Language Models and the False Promise of Creativity

2024 45 citations Tuhin Chakrabarty, Smaranda Muresan et al. profile →

Peers

Countries citing papers authored by Tuhin Chakrabarty

Since Specialization

Citations

This map shows the geographic impact of Tuhin Chakrabarty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tuhin Chakrabarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuhin Chakrabarty more than expected).

Fields of papers citing papers by Tuhin Chakrabarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tuhin Chakrabarty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tuhin Chakrabarty. The network helps show where Tuhin Chakrabarty may publish in the future.

Co-authorship network of co-authors of Tuhin Chakrabarty

This figure shows the co-authorship network connecting the top 25 collaborators of Tuhin Chakrabarty. A scholar is included among the top collaborators of Tuhin Chakrabarty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tuhin Chakrabarty. Tuhin Chakrabarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game 2024 ·(unknown), (unknown), (unknown), (unknown), Tuhin Chakrabarty, Smaranda Muresan	2
2	Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers 2024 ·Creativity and Cognition ·Tuhin Chakrabarty, Vishakh Padmakumar, (unknown), Smaranda Muresan	11
3	Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts 2024 ·PubMed ·Chenghao Yang, Tuhin Chakrabarty, Karli R. Hochstatter, Melissa N. Slavin, Nabila El‐Bassel, Smaranda Muresan	0
4	Creative Natural Language Generation 2023 ·Tuhin Chakrabarty, Vishakh Padmakumar, He He, Nanyun Peng	0
5	I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors 2023 ·Tuhin Chakrabarty, (unknown), (unknown), (unknown), Yue Yang, Marianna Apidianaki, Smaranda Muresan	16
6	Learning to Follow Object-Centric Image Editing Instructions Faithfully 2023 ·Tuhin Chakrabarty, Kanishk Singh, (unknown), Smaranda Muresan	1
7	NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yi R. Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji	11
8	Multitask Instruction-based Prompting for Fallacy Recognition 2022 ·(unknown), Tuhin Chakrabarty, Elena Musi, Smaranda Muresan	7
9	A Report on the FigLang 2022 Shared Task on Understanding Figurative Language 2022 ·(unknown), Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan	1
10	CONSISTENT: Open-Ended Question Generation From News Articles 2022 ·Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan	2
11	Fine-tuned Language Models are Continual Learners 2022 ·Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan	29
12	FLUTE: Figurative Language Understanding through Textual Explanations 2022 ·Tuhin Chakrabarty, (unknown), Debanjan Ghosh, Smaranda Muresan	19
13	Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing 2022 ·Tuhin Chakrabarty, Vishakh Padmakumar, He He	18
14	MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding 2021 ·Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng	34
15	Don’t Go Far Off: An Empirical Study on Neural Poetry Translation 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Tuhin Chakrabarty, (unknown), Smaranda Muresan	6
16	Identifying Distributional Perspectives from Colingual Groups 2021 ·(unknown), Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng	2
17	Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation 2020 ·Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng	27
18	Content Planning for Neural Story Generation with Aristotelian Rescoring 2020 ·(unknown), Tuhin Chakrabarty, Ralph Weischedel, Nanyun Peng	61
19	MFRED, 10 second interval real and reactive power for groups of 390 US apartments of varying size and vintage 2020 ·Scientific Data ·Christoph J. Meinrenken, (unknown), (unknown), Tuhin Chakrabarty, (unknown), Christopher Hidey, Kathleen McKeown, Ali Mehmani, Vijay Modi, Patricia J. Culligan	18
20	Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks 2019 ·(unknown), Christopher Hidey, Tuhin Chakrabarty	13

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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