๐ ๐ ๐๐๐ฐ T๐๐ฑ๐ญ๐๐จ๐จ๐ค -- ๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐๐ซ๐ ๐ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ๐ฌ ๐
I am excited to share the release of my new textbook, ๐๐ฏ๐ต๐ณ๐ฐ๐ฅ๐ถ๐ค๐ต๐ช๐ฐ๐ฏ ๐ต๐ฐ ๐๐ข๐ณ๐จ๐ฆ ๐๐ข๐ฏ๐จ๐ถ๐ข๐จ๐ฆ ๐๐ฐ๐ฅ๐ฆ๐ญ๐ด (#LLMs) -- Perhaps the first textbook on LLMs.
Target Audience:
๐ Students/beginners, Looking for a structured starting point to learn LLMs
๐ Teachers, planning to offer a course on LLMs
๐ Industry professional, seeking to deepen their understanding of LLMs
Explore the Book:
๐ Book Website: https://t.co/tLQDfkhKOp
๐ Table of Contents: https://t.co/RyxBENqYEw
๐ Available on Amazon: https://t.co/PX2i3OLmiG
Enhance Your Learning Experience:
๐ Slides & Lecture Videos: Chapter-wise resources -- https://t.co/9bd9lhhfAj
๐ Exercises & Solutions: Practice with detailed chapter exercises (solutions available on request).
๐ Upcoming @nptel_official Course: Starting January 2025! Preview here: https://t.co/i71bgfVne8
Book Endorsement:
๐ Foreword by Prof. Tim Baldwin @eltimster
๐ Endorsements from Prof. Iryna Gurevych @IGurevych and Prof. Pushpak Bhattacharyya
#LLMs #Textbook @iitdelhi@WileyIndiaPL@lcs2lab
Delighted to announce TRUSTMAPS -- an @ICMRDELHI -funded National Centre led by @iitdelhi with AIIMS Delhi, IIT Kharagpur, Ashoka University & Tata Medical Centre. As a PI, I will work with 18 Co-PIs across 5 institutes.
Our mission: Build India's first national certification ecosystem for Medical AI.
More details here: https://t.co/ARsn0E6mvw
๐ข Follow the official TRUSTMAPS LinkedIn page for research updates, collaborations, and upcoming initiatives: https://t.co/0ebzG3lfWN
@AshokaUniv@aiims_newdelhi@IITKgp
Congratulations to Tamal Majumder, a PhD student at our lab, on getting the #BestPosterAward at the #IITDelhi#OpenHouse2026! ๐
We are delighted to see his work being recognized and wish him continued success. Congratulations, Tamal! ๐
๐ฐ Media Feature Alert ๐ข
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
๐ #EMNLP2026#SneakPeek ๐
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?
๐ฅ @sujoynath_ai@aswiniandpunter@Tanmoy_Chak
๐งต๐
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
I am delighted to announce the acceptance of 7 papers to EMNLP 2026 (Main: 4 and Findings: 3).
Congratulations to the entire lab for the hard work!!
The preprints of most of the papers are already available. The remaining will be uploaded soon.
@lcs2lab@YardiScAI@iitdelhi@emnlpmeeting #EMNLP2026
๐จ New article: From Scaling Laws to Downscaling Laws
https://t.co/dq3ISvm8iK
In 2025 we argued at ICML that the field needs downscaling laws.
In 2026 we deliver one at EMNLP.
A 10% lower loss costs 4โ8ร 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
๐ข New #TMLR Paper Alert ๐ข
Our work โMarkovian ODE-guided scoring can assess the quality of offline reasoning traces in language modelsโ has been accepted to @TmlrOrg! ๐
๐ฅArghodeep Nandi, Ojasva Saxena, @Tanmoy_Chak
๐ Paper: https://t.co/h9lhk7oNpa
#LLM#Reasoning#NLProc
๐CFP for the #ACL2027NLP main conference is up! https://t.co/fdpjtawYiA
๐Submission deadline to ARR is Jan 4, 2027.
โญ๏ธACL2027 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. Huanโs sense of humour is simply out of this world! โบ๏ธ
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 #NeurIPS2026), makes the 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: https://t.co/pUQifHvJKu
@NeurIPSConf@lcs2lab@ayans007 #SLMs
๐ Time to celebrate the acceptance of 4 papers at #NeurIPS2026 โ all in the Main Track!
The papers span multilingual LLM interpretability, knowledge distillation, and LLM personalization. Huge congratulations to all the students and collaborators! ๐
Details of the papers are here: https://t.co/md5SLGYkoA
@NeurIPSConf@lcs2lab@iitdelhi
Congratulations to Sudipto Ghosh (@ScientificGhosh) on being awarded the prestigious @IndiaDST#INSPIRE#PhDFellowship! ๐๐ We are proud of his achievement and look forward to his continued contributions and success in the years ahead! โจ
๐ Congratulations to Ayan Sengupta and Anwoy Chaterjee @anwoy_, PhD scholars from our lab, on being recognised among Indiaโs Top 100 AI/ML Researchers through the #AmazonAI100 initiative! Proud to see their research contributions recognised at the national level! ๐ #IITDelhi
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 ๐
@iitdelhi@lcs2lab