@emalam
I am associate professor at Télécom Paris, Institut Polytechnique de Paris. My major areas of research are machine learning, deep learning, language models, and knowledge graphs. Homepage: https://sites.google.com/view/mehwish-alam/home
Congratulations to Cristian Santini, Marieke van Erp, and Mehwish Alam for their EACL 2026 paper “It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models”!
PDF preprint at arxiv.org/pdf/2601.08500
#LLM
We're happy to launch our revamped BlueSky channel, Mastodon channel, and Website! Follow us for news on knowledge graphs, language models, foundational models, learning over tabular data, graph representation learning, graph mining, and stream mining!
Web site and links: dig.telecom-paris.fr
Our article "It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using LLMs" has been accepted to #eacl2026 Cristian Santini & Marieke van Erp. MHEL-LLaMo uses a combination of #slms and #llms for entity linking. Preprint: tinyurl.com/2h8uphyh
Hello World! Welcome to the Bluesky page of Data, Intelligence, and Graph team at Tèlècom Paris, Institut Polytechnique de Paris. Stay tuned for the highlights of the scientific activities of our team. For more details visit our website linked in Bio.
We are looking for a Master 2 intern at Telecom Paris with BNP Paribas on the topic of "Framework for Evaluating Reasoning Verification in LLM". My group is specifically working on the topics of #neurosymbolicai with focus on #languagemodels & #symbolicai. For details visit:
tinyurl.com/42w652yx
Thrilled to announce that our paper on “T-REX: Table – Refute or Entail eXplainer” w/ Tim Luka Horstmann and Baptiste Geisenberger has been accepted at #ecmlpkdd2025 - Demo track. It performs verification of factual claims over tabular data using #opensource #llms
GitHub: shorturl.at/t715r
Call 4 Postdoc fellowships is now open! shorturl.at/SKvJZ
My group is working on please reach out to me):
LLMs & Knowledge Graphs, Explainability, Cognitive Aspects of LLMs, Hallucination Detection, KG embeddings Application: Biomedicine & Cultural Heritage
Deadline: Jun 06, 2025
Just published: Handbook on Neurosymbolic AI and Knowledge Graphs. dx.doi.org/10.3233/FAIA... (FAIA vol. 400; P Hitzler, A Dalal, Md S Mahdavinejad, S Saki Norouzi (eds.). Comprehensive collection, 41 chapters, over 1100 pages. #neurosymbolic #knowledgegraph #semanticweb
Best Regards,
Pascal.
Want to work on cutting edge research in the intersection of #knowledgegraphs and #largelanguagemodels? Join my team as a PhD student between Institut Polytechnique de Paris and Nokia Bell Labs. If you need further details contact me or directly apply through the website: jobs.nokia.com/en/job/16575
📢 New course alert 📢
I am teaching a course entitled "Language Models and Structured Data" Institut Polytechnique de Paris. Topics are: Language Models (LMs), Prompt Engineering, LoRA, Quantized LMs, RAGs, Graphs, Tabular Data, Text2SQL
The slides are available through: shorturl.at/w8iuO