🌟 𝐀 𝐍𝐞𝐰 T𝐞𝐱𝐭𝐛𝐨𝐨𝐤 -- 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 🌟

I am excited to share the release of my new textbook, 𝘐𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯 𝘵𝘰 𝘓𝘢𝘳𝘨𝘦 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘔𝘰𝘥𝘦𝘭𝘴 (#LLMs) -- Perhaps the first textbook on LLMs.
dents/beginners, Looking for a structured starting point to learn LLMs
👉 Teachers, planning to offer a course on LLMs
👉 Industry professional, seeking to deepen their understanding of LLMs

Explore the Book:
🔗 Book Website: tanmoychak.com/llmbook/
📑 Table of Contents: tanmoychak.com/llmbook/toc.pdf
🛒 Available on Amazon: amazon.in/dp/936386474X/

Enhance Your Learning Experience:
👉 Slides & Lecture Videos: Chapter-wise resources -- lcs2-iitd.github.io/ELL881-AIL821-…
👉 Exercises & Solutions: Practice with detailed chapter exercises (solutions available on request).
👉 Upcoming @nptel_official Course: Starting January 2025! Preview here: onlinecourses.nptel.ac.in/noc25_cs45/pre…

Book Endorsement:
📖 Foreword by Prof. Tim Baldwin @eltimster
👏 Endorsements from Prof. Iryna Gurevych @IGurevych and Prof. Pushpak Bhattacharyya

#LLMs #Textbook @iitdelhi @WileyIndiaPL @lcs2lab

Congratulations to Tamal Majumder, a PhD student at our lab, on getting the #BestPosterAward at the #IITDelhi #OpenHouse2026! 🏆
We are delighted to see his work being recognized and wish him continued success. Congratulations, Tamal! 👏

📰 Media Feature Alert 📢
Glad to see our perspectives on efficient AI and Small Language Models featured in Lokmat Times! The future of AI is not just about building larger models, but about making them smaller, more efficient, and accessible. @Tanmoy_Chak
#EfficientAI #SLMs

📜 Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
👥 @tareknaous, ..., @sahajps_nus, Sarah Masud, ..., @alan_ritter, @Tanmoy_Chak, @Yuki_arase, @KeisukeS_, JinYeong Bak, @cocoweixu
💻 Code: github.com/tareknaous/cam…

🚀 #EMNLP2026 #SneakPeek 🚀
How can we generate counterspeech that doesn't just oppose hate, but understands its underlying claims and responds with the right strategy and supporting evidence?
👥 @sujoynath_ai @aswiniandpunter @Tanmoy_Chak
🧵👇

Heading to Budapest for #EMNLP2026!
Happy to catch up and chat about:
a) Exciting research happening at our lab @lcs2lab
b) ARR reviewing challenges and how we can improve the process (as an EiC of @ReviewAcl)
c) Faculty opportunities at @iitdelhi
@emnlpmeeting

🚨 New article: From Scaling Laws to Downscaling Laws

x.com/ayans007/statu…

In 2025 we argued at ICML that the field needs downscaling laws.
In 2026 we deliver one at EMNLP.

A 10% lower loss costs 4–8× the carbon emission.
Pruning 43% of a model keeps 70% of its performance, with zero retraining.

Scaling up is expensive. Scaling down is predictable.

@Tanmoy_Chak @lcs2lab

#downscaling #efficientllms #modelcompression

📢 New #TMLR Paper Alert 📢
Our work “Markovian ODE-guided scoring can assess the quality of offline reasoning traces in language models” has been accepted to @TmlrOrg! 🎉
👥Arghodeep Nandi, Ojasva Saxena, @Tanmoy_Chak
📄 Paper: arxiv.org/abs/2603.01580
#LLM #Reasoning #NLProc

🔔CFP for the #ACL2027NLP main conference is up! 2027.aclweb.org/calls/main/
📝Submission deadline to ARR is Jan 4, 2027.
⭐️ACL2027 Theme Track is "Homogenization and knowledge collapse in LLMs".

Honoured to host the legendary Prof. @liuhuan and Prof. Longbing Cao at our lab @lcs2lab @iitdelhi today!

Our entire lab had a wonderful opportunity to interact with them and receive their invaluable feedback. And Prof. Huan’s sense of humour is simply out of this world! ☺️

In knowledge distillation (KD), teachers hallucinate, and standard KD forces the student to copy them anyway, spending probability mass on the teacher's noisy, low-confidence predictions and overwriting priors the student already had right. Our fix, CaRE-KD (accepted at e student decide when to trust the teacher. At the token level, a confidence gate switches between mean-seeking and mode-seeking divergence depending on how sure the teacher is. At the sequence level, a rejection mechanism drops updates where the teacher is epistemically less reliable than the student.

Preprint: arxiv.org/pdf/2609.36734

@NeurIPSConf @lcs2lab @ayans007 #SLMs

🎉 Time to celebrate the acceptance of 4 papers at #NeurIPS2026 — all in the Main Track!

The papers span multilingual LLM interpretability, knowledge distillation, and LLM personalization. Huge congratulations to all the students and collaborators! 👏

Details of the papers are LGYkoA

@NeurIPSConf @lcs2lab @iitdelhi

Congratulations to Sudipto Ghosh (@ScientificGhosh) on being awarded the prestigious @IndiaDST #INSPIRE #PhDFellowship! 🎓🎉 We are proud of his achievement and look forward to his continued contributions and success in the years ahead! ✨

🎉 Congratulations to Ayan Sengupta and Anwoy Chaterjee @anwoy_, PhD scholars from our lab, on being recognised among India’s Top 100 AI/ML Researchers through the #AmazonAI100 initiative! Proud to see their research contributions recognised at the national level! 🚀 #IITDelhi

Watch the full conversation with Prof. Tanmoy Chakraborty here:
youtube.com/watch?v=XyI9Yl…

India has engineers building the AI frontier. Why are we still behind it?

Prof. Tanmoy Chakraborty (@Tanmoy_Chak), IIT Delhi, on private investment, the talent we already have, and why India should keep building.

A few highlights from our conversation.

I appeared on @TV9Bharatvarsh to discuss how AI could potentially devise plans to harm humans and what this means for AI safety.
The full episode is here 👇
@iitdelhi @lcs2lab

I appeared on @BBCHindi yesterday to discuss
AI का ख़तरा कितना असली है? (How real is the threat from AI?)
youtu.be/qHhn9ccBU5g?si…
via @YouTube (my part appeared around 31.20+ mins)
@BBCBreaking @BBC @iitdelhi @lcs2lab

Multiple Positions Available: RA / Senior RA / Postdoc at our lab, @lcs2lab, @iitdelhi

We are looking for motivated researchers to join @lcs2lab at @iitdelhi. Multiple full-time, in-person positions are available in the following research areas:
• LLM Efficiency
• Responsible LLMs
• AI for Mental Healthcare

Interested candidates are requested to carefully review the details and submit their applications through the Google Form below:
forms.gle/wBxz8HcacceixN…

Applications submitted via email will not be considered. However, you may reach out to me by email if you have any questions regarding the positions.

A two-day Indo-German Bilateral Workshop on Green AI for Healthcare and Mental Wellness was held at #IITDelhi on September 3-4, 2026.

The workshop focused on Green AI for Healthcare, addressing the environmental and societal impacts of Generative AI with particular emphasis on models for real-world healthcare deployment.

The following were the key objectives of the workship:

• To advance sustainable and energy efficient AI solutions for healthcare and mental wellness.

• To facilitate Indo-German knowledge exchange on Green AI, efficient AI models, and responsible deployment of AI in healthcare.

• To explore innovative AI applications in areas such as medical imaging, clinical decision support, mental health, and multilingual healthcare.

• To identify technical, infrastructural, regulatory, and ethical challenges in deploying AI across diverse healthcare settings.

• To foster academic, clinical, and industry collaboration between India and Germany.

• To establish a roadmap for future joint research, innovation, and capacity-building initiatives.

The workshop was sponsored by the Indo-German Science and Technology Centre (IGSTC), a flagship joint initiative established by the Department of Science and Technology (DST), Government of India, and the Federal Ministry of Education and Research (BMBF), Germany. The workshop was organized by Prof. Tanmoy Chakraborty, IIT Delhi and Prof. Iryna Gurevych, TU Darmstadt.