We are reopening the interviews for this PhD position. Please help me spread the word to find the right potential candidates!

🚀 New: The Stretto Execution Engine for LLM-Augmented Data Systems. LLM operators create a runtime ↔ accuracy trade-off in query execution. We address it with a novel optimizer, for end-to-end quality guarantees, and new KV-cache–based operators, for efficiency. arxiv.org/abs/2602.04430 Details👇

🛑 𝐒𝐭𝐨𝐩 𝐭𝐡𝐫𝐨𝐰𝐢𝐧𝐠 𝐚𝐰𝐚𝐲 𝐲𝐨𝐮𝐫 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐬𝐜𝐨𝐫𝐞𝐬. RAG uses embedding scores to pick Top-K, then treat all retrieved chunks as equal. Parallel Context-of-Experts Decoding (PCED) uses retrieval scores to move evidence aggregation from attention to decoding. 🚀 180× faster time-to-first-token!

New PhD position on Tool-Augmented LLMs for Enterprise Data AI 🚨 Starting in early 2026 under my academic supervision and hosted by the fantastic team at AILY LABS in Madrid or Barcelona Details reported in the link - please ping me for any question! www.linkedin.com/jobs/view/43...

Vol:18 No:12 → Accelerating Tabular Inference: Training Data Generation with TENET 👥 Authors: Enzo Veltri, Donatello Santoro, Jean-Flavien Bussotti, Paolo Papotti 📄 PDF: https://www.vldb.org/pvldb/vol18/p5303-veltri.pdf

Can We Trust the Judges? This is the question we asked in validating factuality evaluation methods via answer perturbation. Check out the results at the #EvalLLM2025 workshop at #TALN2025 Blog: giovannigatti.github.io/trutheval/ Watch: www.youtube.com/watch?v=f0XJ... Play: github.com/GiovanniGatt...

Ask any LLM for a single fact and it’s usually fine. Ask it for a rich list and the same fact is suddenly missing or hallucinated because the output context got longer 😳 LLMs exceed 80% accuracy on single-value questions but accuracy drops linearly with the # of output facts New paper, details 👇

🚨 𝐖𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞 𝐜𝐫𝐨𝐰𝐝 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐭𝐡𝐞 𝐟𝐚𝐜𝐭-𝐜𝐡𝐞𝐜𝐤𝐞𝐫? new "Community Moderation and the New Epistemology of Fact Checking on Social Media" with I Augenstein, M Bakker, T. Chakraborty, D. Corney, E Ferrara, I Gurevych, S Hale, E Hovy, H Ji, I Larraz, F Menczer, P Nakov, D Sahnan, G Warren, G Zagni

🌟 New paper alert! 🌟 Our paper, "Retrieve, Merge, Predict: Augmenting Tables with Data Lakes", has been published in TMLR! In this work, we created YADL (a semi-synthetic data lake), and we benchmarked methods for augmenting user-provided tables given information found in data lakes. 1/

Our new @sigmod2025.bsky.social paper tackles a fundamental challenge for the next gen of data systems: "Logical and Physical Optimizations for SQL Query Execution over Large Language Models" 📄 As systems increasingly use declarative interfaces on LLMs, traditional optimization falls short Details 👇

Presenting at #NAACL2025 today (April 30th) 🎤 ⏰ 11:00 Session B Our work, "An LLM-Based Approach for Insight Generation in Data Analysis," uses LLMs to automatically find insights in databases, outperforming baselines both in insightfulness and correctness Paper: arxiv.org/abs/2503.11664 Details 👇

Think2SQL: Bridging the Reasoning Gap in Text-to-SQL for Small LLMs Leveraging RL with our reward mechanism, we push Qwen-Coder-2.5 7B to performance on par with much larger LLMs (>400B) on the BIRD dataset! 🤯 Model: huggingface.co/simone-papic... Paper: huggingface.co/papers/2504.... Details 👇

🗜️New LLM compression paper "Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning" RAG struggles with broad, multi-hop questions. We surpass RAG by up to 20 absolute points in QA performance, even with extreme cache compression (64x smaller)! Details 👇

NOVAS is a new venue for your paper bridging the gap between data management and generative AI research! It will be in Berlin, June 22th, together with @sigmod2025.bsky.social Submission deadline: 28 March 2025

Tropes, such as "Hidden Motives", are recurring narrative elements used to evoke familiar patterns in communication Our #COLING paper uncovers that tropes are used in 37% of the social posts debating immigration and vaccination 📄 coling-2025-proceedings.s3.us-east-1.amazonaws.com/main/pdf/202... 👇

Meta is also embracing Community Notes (as now branded on X), the crowdsourcing approach to fact-checking on social networks. We have audited the program when it was called Birdwatch and found both promising results and concerning manipulation risks. More details below.👇

🚀 Up to 93x input compression for LLMs! By compressing the data in the KV cache, we squeeze more info in the context. Presented at @emnlpmeeting.bsky.social, now on MIT Press: FINCH: Prompt-guided Key-Value Cache Compression for LLMs (TACL 2024) direct.mit.edu/tacl/article... More details 👇

WIP starterpack w researchers on Table Representation Learning (TRL): all things related to representation learning and generative models for e.g. tables, DBs, spreadsheets! I'll curate but DM/reply w handle+some info welcome! Also follow @trl-research.bsky.social for updates 🤗 go.bsky.app/4SNSMRj

CimpleKG is a continuously updated resource for researchers developing AI solutions to fight misinformation. The graph links data from 77 fact-checking orgs across 36 countries. 🔗 SPARQL Endpoint: purl.org/net/cimplekg... 🔗 KG Explorer: purl.org/net/cimplekg... 🔗 Paper: hal.science/hal-04760374...

𝗘𝘃𝗲𝗿 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗙𝗿𝗲𝗻𝗰𝗵 𝗥𝗶𝘃𝗶𝗲𝗿𝗮? ☀ I'm seeking PhD and Post-doc candidates to join my research group in 2025 at EURECOM in the south of France. - 3 new projects on LLMs - Full-time positions with competitive salaries and benefits - English-speaking environment Interested? Ping me!

Our paper, "Data Void Exploits: Tracking & Mitigation Strategies," has received the Best Paper Award at ACM #CIKM 2024! 🏆 Data voids are gaps in online information, which are often exploit to spread disinformation. More details 👇 #CIKM2024 #DataVoids #Disinformation #KGs

Hi everyone! I'm a professor in the Data Science department at EURECOM, France. 🎓 My research focuses on data management and LLMs to enhance information quality, including data cleaning and misinformation detection. I'm here mostly for the research, but I occasionally comment on sports and arts.