Tanmoy Chakraborty
8 papers in the PaperMetrix corpus
Papers by this author
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DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
2019 · arXiv (Cornell University)
Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies which addressed this problem. Past studies mostly leveraged expertise …
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Blackmarket-Driven Collusion Among Retweeters–Analysis, Detection, and Characterization
2019 · IEEE Transactions on Information Forensics and Security
The growth of online social media has led to a huge increase in the number of users who want to share and publicize various kinds of information. Twitter, the most popular micro-blogging platform, has become …
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Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Identifying argument components from unstructured texts and predicting the relationships expressed among them are two primary steps of argument mining. The intrinsic complexity of these tasks demands powerful learning models. While pretrained Transformerbased Language Models …
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Detecting and Understanding Harmful Memes: A Survey
2022
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content often combines …
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Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved\n in Blackmarket Services
2018 · arXiv (Cornell University)
Twitter has increasingly become a popular platform to share news and user\nopinion. A tweet is considered to be important if it receives high number of\naffirmative reactions from other Twitter users via Retweets. Retweet count is\nthus …
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Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
2023 · arXiv (Cornell University)
Multi-head self-attention-based Transformers have shown promise in different learning tasks. Albeit these models exhibit significant improvement in understanding short-term and long-term contexts from sequences, encoders of Transformers and their variants fail to preserve layer-wise contextual …
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Qubit teleportation between a memory-compatible photonic time-bin qubit and a solid-state quantum network node
2024 · npj Quantum Information
Abstract We report on a quantum interface linking a diamond NV center quantum network node and 795nm photonic time-bin qubits compatible with Thulium and Rubidium quantum memories. The interface makes use of two-stage low-noise quantum …
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Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
2024
In mental health counseling, condensing dialogues into concise and relevant summaries (aka counseling notes) holds pivotal significance.Large Language Models (LLMs) exhibit remarkable capabilities in various generative tasks; however, their adaptation to domainspecific intricacies remains challenging, …