If you are looking for a PhD position on knowledge graphs and machine learning, this might be an opportunity for you 👇

I am seriously concerned about the quality and tone of many ICLR 2026 reviews I have read in both my reviewer and author batches. I see - Reviews likely written by a language model - Dismissive remarks - Judgemental comments - Impolite tone - ... iclr.cc/Conferences/20…

It's been extremely disappointing compared to the experience in ACL venues. In our paper not a single reviewer has acknowledged our answers. Did reviewers receive any reminders to engage ICLR 2026?

I've written my first #Medium story! I delve into the longstanding challenge of #AGI, and provide an high-level overview of the current #NLP landscape, highlighting both the milestones achieved and the persisting challenges! 🧗🏻 #ChatGPT #LLMs #AI medium.com/@simone-tedesc…📑

New Anthropic Paper: Sleeper Agents. We trained LLMs to act secretly malicious. We found that, despite our best efforts at alignment training, deception still slipped through. arxiv.org/abs/2401.05566

🤯 Think adding nonsense to RAG systems is madness? Our new paper says otherwise! We found that including random documents boost accuracy by 30+%, challenging old paradigms and showing the complexity of integrating retrieval w/ language generation. #RAGSystems #surprisingresults

2019 sueño vs 2024 realidad

Exciting strides in text summarization with LLMs 🚀but verifying their factual accuracy is still an open challenge 🤔 We introduce FENICE, a factuality-oriented metric for summarization with a strong focus on interpretability🔍arxiv.org/abs/2403.02270 #NLProc #LLMs #Factuality

Join us today at #EACL2024 for our presentation entitled “CroCoAlign: A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts” in the Sentence-level Semantics track! #NLProc (Radisson Blu, Carlson Ballroom, 5th floor, Malta)

Just interviewed by Alessio Jacona Agenzia ANSA to talk about #LLMs and the SapienzaNLP effort to create the first #Italian pre-trained #LLMs, the #Minerva family. Team: Edoardo Barba, Simone Conia, @perelluisHC, @AndrewWyn1, Riccardo Orlando & me youtube.com/watch?si=O9daf…

GPU-Poor no more: super excited to officially release ZeroGPU in beta today. Congrats Victor M & team for the release! In the past few months, the open-source AI community has been thriving. Not only Meta but also Apple, NVIDIA, Bytedance, Snowflake, Databricks, Microsoft,

The new interpretability paper from Anthropic is totally based. Feels like analyzing an alien life form. If you only read one 90-min-read paper today, it has to be this one transformer-circuits.pub/2024/scaling-m…

We are (finally) releasing the 🍷 FineWeb technical report! In it, we detail and explain every processing decision we took, and we also introduce our newest dataset: 📚 FineWeb-Edu, a (web only) subset of FW filtered for high educational content. Link: hf.co/spaces/Hugging…

ARR needs your help! We received 5800+ submissions for the June cycle, but with our current capacity, we can handle only half of these submissions. We can't start the review process without significant help. (1/2)

These headlines are 3 days apart. See, they can name the attacker without casting doubt.

👀 Exciting News! 👀 Happy to announce our latest research paper, “Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget”, will be presented at #ACL2024! 🚀 Try it out! huggingface.co/spaces/relik-i… Thread below 👇

Check out our new work!

Which layers memorise examples with permuted labels?🧐 That’s what we investigate in “Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks” presented in Findings poster session 2 @ 5.45PM today! #ACL2024 #NLProc (1/7)

I'm in Bangkok for #ACL2024NLP 🇹🇭 Looking forward to present our work "Dissecting Biases in Relation Extraction: A Cross-dataset analysis on People's Gender and Origin" genderbiasnlp Joint work w/ Marco Stranisci Pere-Lluís Huguet Cabot Roberto Navigli 📄aclanthology.org/2024.gebnlp-1.… #NLProc 1/2

Automatic knowledge graph construction can be slow and expensive. Also I find there's a lack of resources on how to build something principled (do you just stuff text into an LLM prompt?) That's why I love this blog by @tb_tomaz which not only outlines the step-by-uses Relik, a