constraint-2020 IEI_Award First
Data Science for Fake News
Social Network Analysis

 To apply for a MSR / PhD psoition, click here.

 To apply for a Research Assistant/Post Doctoral position, mail to chak.tanmoy.iit@gmail.com

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Laboratory for Computational Social Systems (LCS2) is a multi-institute research group led by Dr. Tanmoy Chakraborty and Dr. Md. Shad Akhtar. Broad research interests of this group include Natural Language Processing, Social Computing, and Graph Mining.

News

  • May 22, 2023
    Communications of the ACM, 2023: Subhabrata Dutta, Tanmoy Chakraborty. Thus spake ChatGPT: On the reliability of AI-based chatbots for science communication.
  • May 16, 2023
    SIGKDD, 2023: Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty. Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment.
  • May 16, 2023
    SIGKDD, 2023: Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty. Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents.
  • May 14, 2023
    Knowledge-Based Systems, 2023: Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty. Predicting Hate Intensity of Twitter Conversation Threads.
  • May 02, 2023
    ACL 2023: Shivam Sharma, Ramaneswaran S, Udit Arora, Md. Shad Akhtar and Tanmoy Chakraborty. MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization.
  • May 02, 2023
    ACL 2023: Shaily Desai, Rishabh Gupta, Manvi Goel, Anil Bandhakavi, Md Shad Akhtar and Tanmoy Chakraborty. Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation.
  • May 02, 2023
    ACL 2023: Eshaan Tanwar, Manish Borthakur, Subhabrata Dutta and Tanmoy Chakraborty. Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment.
  • April 25, 2023
    IJCAI, 2023: Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty. Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India.

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