Leonardo Ranaldi
@l__ranaldi
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📅 Dates - CodaBench evaluation data release: 1 Dec 2025 - Practice: 10–31 Dec 2025 - Evaluation: 10–31 Jan 2026 - Paper submission: Feb 2026 - Notifications: March 2026 - SemEval Workshop, Summer 2026 🔗 Info & Task ( https://t.co/3ffAvnhtBk) Slack:
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🚀 SemEval-2026 Task 11 is now live! Disentangling Content and Formal Reasoning in Language Models We invite you to join our task exploring content-independent, multilingual logical reasoning. Task website: https://t.co/3ffAvngVLM
#NLProc #LLM
sites.google.com
About the Task SemEval-2026 Task 11 aims to investigate how language models can acquire content-independent multilingual reasoning mechanisms, thereby mitigating content biases that affect their...
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LLMs prioritise validation over facts, creating unsafe "sycophancy". Our X-Agent, uses reasoning to audit and correct this behaviour. It stops the model from blindly agreeing, ensuring interactions are safe, consistent, and factually grounded. #NLProc
https://t.co/m9nTW1JY3k
aclanthology.org
Giulia Pucci, Leonardo Ranaldi. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
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I propose the concept of #protoknowledge (in-between #memorization and #generalization) to evaluate whether models are truly capable of solving downstream tasks. Thanks to the @l2m2_workshop part of @aclmeeting , I could receive valuable feedback and engage idea exchanges.
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Hey @jaseweston Take a look at our EMNLP work last year. It's not that far away!
🤖Introducing: CoT-Self-Instruct 🤖 📝: https://t.co/WS6g4yzM9u - Builds high-quality synthetic data via reasoning CoT + quality filtering - Gains on reasoning tasks: MATH500, AMC23, AIME24 & GPQA-💎 - Outperforms existing train data s1k & OpenMathReasoning - Gains on
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Very excited to be here! @aclmeeting #ACL2025NLP #ACL2025 This morning presented our paper on Multimodal Multilingual Reasoning! https://t.co/rXfamwLcrS Many interesting interactions, feedback and new ideas for follow up! Thank you guys @FedeRanaldi @Giuli12P2
aclanthology.org
Leonardo Ranaldi, Federico Ranaldi, Giulia Pucci. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
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I will be at #ACL2025 with my group presenting 3 Conference Papers. At the #L2M2 workshop, we will introduce the concept of #protoknowledge as a framework for jointly analyzing the #memorization and #generalization capabilities of LLMs. Link Non-archival:
lnkd.in
This link will take you to a page that’s not on LinkedIn
Privacy, Memorization, Multimodal reasoning, and the surge of protoknowledge (non-archival in L2M2 Workshop) ! This is our contribution to #ACL2025NLP to better understand #LLMs We want to know your POV! See you in Vienna! We are hiring.
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📢The ACL 2025 Proceedings are LIVE🎆on the ACL Anthology! 🎉 We're thrilled to pre-celebrate the incredible research that will be presented starting Monday, July 28th, in Vienna! 🇦🇹 Start exploring now▶️ https://t.co/w7YpPwTPPx
#NLProc #ACL2025NLP #ACLAnthology 📚
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Are you interested in the intersection of Mathematics and NLP? Consider submitting your paper to #MathNLP 2025: The 3rd Workshop on Mathematical NLP. #EMNLP2025. Submissions will open on June 25! Take a look here for more details
sites.google.com
A One-day Workshop on Mathematical Language Processing The articulation of mathematical arguments is a fundamental part of scientific reasoning and communication. Across many disciplines, expressing...
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Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task @l__ranaldi et al. introduce a method that translates retrieved multilingual documents into a common language before generating responses. 📝 https://t.co/h16p6yAirr
arxiv.org
Retrieval-augmented generation (RAG) has become a cornerstone of contemporary NLP, enhancing large language models (LLMs) by allowing them to access richer factual contexts through in-context...
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Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations Improves RAG models by generating contrastive explanations to critically analyze retrieved passages, requiring significantly fewer training examples. https://t.co/O0fgYsaS1P
arxiv.org
Retrieval-augmented generation (RAG) has emerged as a critical mechanism in contemporary NLP to support Large Language Models(LLMs) in systematically accessing richer factual context. However, the...
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#UnboxingTransformer If you are in #ACL2024NLP #ACL2024, we are sure: 1) you can try to solve our challenge https://t.co/5BI9pUdUAV 2) and, then, you can apply to the OPEN POSITION in our lab. Competitive salary in an astonishing location #ML #NLProc
https://t.co/sbd6flgoqD
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At last, a curriculum learning that works, one for pretraining and another for instruction tuning @l__ranaldi @Giuli12P2 @andrenfreitas @znz8
https://t.co/4knXymxgu5
https://t.co/GCr0t6WjsZ
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Summary of Hinrich Schütze’s keynote at #EACL2024! Cannot agree on tough and exciting challenges!
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Waiting for @l__ranaldi to present his paper at #EACL2024 in the beautiful Malta (Radisson blu, Carlson Ballroom, 5th floor) 🚀 "Aligning Large and Small Language Models via Chain-of-Thought Reasoning": https://t.co/hTBMqrsI1k 🚀🚀🚀
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Hey #NLProc! Happy to share our work that will be presented next week at #EACL2024! We study the impact of in-family learning demonstrations for aligning multi-step reasoning abilities between LLMs. Link: https://t.co/CWojdF1lal See you in Malta! @andrenfreitas @Idiap_ch
aclanthology.org
Leonardo Ranaldi, Andre Freitas. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
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#Fairness and Instruction-following #LLMs : a test P-AT @huggingface : https://t.co/dxrIuTpJOI P-AT @emnlpmeeting : https://t.co/3jBYc9aY6A
#NLProc #chatgpt4 w/ @esruzzetti @dariutso @Comment98 @l__ranaldi @znz8
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What are the layers responsabile for Syntax and Morphology encoding? We propose a comparative analysis of Bert's weight matrices. A big thank to my team @HumanCentricArt
#EMNLP2023 #LLM #Bert #noprobing #syntax #morphology
https://t.co/dO0IusFHWs
aclanthology.org
Elena Sofia Ruzzetti, Federico Ranaldi, Felicia Logozzo, Michele Mastromattei, Leonardo Ranaldi, Fabio Massimo Zanzotto. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023.
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It's nearly #Xmas2023
#LLM s and #ChatGPT should become better persons with less #BIAS Let's measure it! The paper : https://t.co/3jBYc9aY6A The dataset : https://t.co/dxrIuTpJOI
#NLProc at #EMNLP2023
@esruzzetti @dariutso @Comment98 @l__ranaldi @znz8
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