Lab. for Computational Social Systems, a group led by @Tanmoy_Chak working on #SocialComputing #GraphMining & #NLProc

Joined July 2018
175 Photos and videos
🇧🇷 #LCS2 goes to #Rio 🇧🇷 Presenting our paper where we move beyond memoryless personalization → modeling user preferences as action-conditioned geometric walks with memory for better, user-aligned summaries. See you at #Riocentro 🚀 #Personalization #RepresentationLearning
Happy to announce that our paper has been accepted to #ICLR2026! 🎉 📜 Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized Summarization 👥 Parthiv Chatterjee, Asish Batha, Tashvi Patel, @sourish_rygbee, @Tanmoy_Chak Congratulations to all authors!
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🚀 #EACL2026 Findings Sneak Peek 🚀 We're excited to present our latest work in the #EACL2026 Findings! 📜 SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving 👥 Ashutosh Bajpai, Akshat Bhandari, Akshay Nambi, @Tanmoy_Chak
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📖 Paper: aclanthology.org/2026.findin… ✨Current multimodal LLMs don’t truly see math diagrams -- they approximate. We introduce SpatialMath, which bridges perception and reasoning, enabling more reliable visual mathematical problem-solving.
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If you're interested in multimodal reasoning, math LLMs, or vision-language models, do check out our paper! #MultimodalAI #LLMs #MathReasoning #VisionLanguage #AIForScience #VisualReasoning #SymbolicReasoning #GeometricReasoning
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🚀 #EACL2026 Sneak Peak Alert 🚀 We're excited to share a paper that we are presenting at #EACL2026 in #Morocco! 📜 Can LLMs Reason over Extended Multilingual Contexts? Towards Long-Context Evaluation Beyond Retrieval over Haystacks 👥 @AmeyHengle @prasNLP Soham Dan @Tanmoy_Chak
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📊 Key Findings: - Reasoning fails before retrieval - Multilingual gap is real - Effective context <30%: LLMs utilize only a fraction of their claimed context window - RAG helps, but not enough - Uncertainty reasoning is hardest
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MLRBench aims to push the field of multilingual long-context reasoning toward more realistic evaluation. If you're in Morocco for #EACL2026 -- come say hi! #LLMs #MultilingualAI #MultilingualNLP #LongContext #NLProc #EfficientAI #ScalableAI #RAG #Reasoning #EvaluationBenchmarks
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🚀 New Podcast Alert 🎙️ Prof. Tanmoy Chakraborty @Tanmoy_Chak joins Rudraditya on The Inner Circle With Rudraditya podcast for a sharp, no-hype conversation on the realities, risks, and future of AI. #AI #MachineLearning #SLM #AIGovernance #NLProc youtube.com/watch?v=t32cHAYj…
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🎉 New Paper Alert 🎉 We're excited to share that our paper "Here for You: A Co-Designed Mental Health Screening App for Indian University Students " has been accepted for publication in #JMIR #FormativeResearch! 🌟 @Tanmoy_Chak preprints.jmir.org/preprint/…

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🔍 Key Highlights (contd.) - Ethical and regulatory alignment, including adherence to DPDP guidelines - Demonstrates the power of the “nothing about us without us” principle in digital mental health
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✨ Huge thanks to all collaborators and participants whose lived experiences shaped this work. We hope this contributes toward accessible, scalable, and culturally resonant digital mental health solutions, especially in low-resource settings.
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Happy to announce that our paper has been accepted to #ICLR2026! 🎉 📜 Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized Summarization 👥 Parthiv Chatterjee, Asish Batha, Tashvi Patel, @sourish_rygbee, @Tanmoy_Chak Congratulations to all authors!
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#LCS2 is ready for #AAAI2026 🇸🇬 🦁 We are excited to be in Singapore this week to share our latest work across quantum-inspired NLP, brain-aligned AI, and efficient language models. If you're around #AAAI2026 or #SSNLP2026, drop by and say hello! #NLProc #AIResearch @Tanmoy_Chak
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🎓 Tutorial | #AAAI2026 🧑‍💻 Brain-Inspired AI 2.0: Aligning Language Models Across Languages and Modalities 👥 Subba Reddy Oota, @Tanmoy_Chak, @ManishGuptaMG1, Raju S. Bapi 🧠 Exploring the intersection of computational cognitive neuroscience and AI. #BrainInspiredAI #CognitiveAI
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🎤 Keynote | Singapore Symposium on NLP #SSNLP @ #AAAI2026 🗨️ Enough of Scaling Laws! Let's Focus on Downscaling 👤 @Tanmoy_Chak 🔍 A call to rethink scale focusing on efficient, interpretable, and adaptable #SmallLanguageModels that rival large models without prohibitive costs.
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