AI_Social_Good_TC ACL_OSP_2023_Award constraint-2020 IEI_Award First
Data Science for Fake News
Social Network Analysis

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

 To apply for a Research Assistant/Post Doctoral position, mail to [email protected]

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

  • February 05, 2024
    Communications of the ACM, 2024: Sarah Masud, Tanmoy Chakraborty. The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity.
  • January 23, 2024
    IEEE Transactions on Computational Social Systems (TCSS), 2024: Tharun Suresh, Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty. A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer.
  • January 18, 2024
    EACL (Findings), 2024: Shivani Kumar, Tanmoy Chakraborty. Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues.
  • January 18, 2024
    EACL (Findings), 2024: Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty. Probing Critical Learning Dynamics of LLMs for Hate Speech Detection.
  • January 17, 2024
    ICLR, 2024: Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar, Tanmoy Chakraborty. A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation.
  • December 10, 2023
    AAAI, 2024: Joykirat Singh, Subhabrata Dutta, Ishan Pandey, Tanmoy Chakraborty. Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning.
  • August 28, 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. ( *** AI and Social Good Award - IJCAI, 2023 *** )
  • July 09, 2023
    ACL, 2023: Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur and Tanmoy Chakraborty. Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment. ( *** ACL Outstanding Paper Award, 2023 *** )
  • November 14, 2023
    Sarah Masud has received the prestigious Google India PhD Fellowship.
  • October 27, 2023
    Sahil Mishra has received the Prime Minister’s PhD Research Fellowship, 2023.
  • October 27, 2023
    Karish Grover and Joykirat Singh have received the best B.Tech thesis award and the Institute Silver Medal for the best B.Tech’23 student, respectively at IIIT Delhi.
  • October 16, 2023
    Yash Kumar Atri has received the Microsoft travel grant for EMNLP 2023.
  • October 16, 2023
    Yash Kumar Atri, Shivani Kumar, and Gurusha Juneja have received the Microsoft travel grant for EMNLP 2023.
  • October 16, 2023
    Shivani Kumar has received the Microsoft travel grant for EMNLP 2023.
  • October 08, 2023
    EMNLP, 2023: Shivani Kumar, Ramaneswaran S, Md Shad Akhtar, Tanmoy Chakraborty. From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues
  • October 08, 2023
    EMNLP (Findings), 2023: Rahul Vansh, Darsh Rank, Sourish Dasgupta, Tanmoy Chakraborty. Accuracy is not enough: Evaluating Personalization in Summarizers.
  • October 08, 2023
    EMNLP (Findings), 2023: Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov. From Chaos to Clarity: Claim Normalization to Empower Fact-Checking.
  • October 08, 2023
    EMNLP, 2023: Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty. Language Models Separately Tuned for Decomposition and Solution Improve Complex Reasoning.
  • October 08, 2023
    EMNLP (Findings), 2023: Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty. Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
  • October 06, 2023
    EMNLP, 2023: Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal. Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph.

Older posts…