
Raphaël Troncy
@rtroncy
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Prof and Researcher at @EURECOM. AI, Knowledge Graph, Open Data, LLM, Information Extraction, Recommender Systems, https://t.co/CgUPPwuBlP
Sophia Antipolis (FR)
Joined May 2009
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: Watch: Play:
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RT @GwenComte: Congratulations to Youssra REBBOUD who successfully defended her PhD thesis today, supervised by @rtroncy @PasqLisena @maraz….
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Thanks to the jury members for having evaluated this work: @elen2016 Enrico Motta @serena_villata @paolopapotti / co supervised with @PasqLisena
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A second major contribution is the largest dataset containing fine-grained annotations of causal relationships between events (enable, prevent, intend, directly cause). This dataset comes from common sense (ATOMIC), news corpus (CNC) and synthetic #LLM generated data.
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RT @eswc_conf: We are pleased to announce that Raphaël Troncy @rtroncy is going to be one of our keynotes! #ESWC2025.Title “Building Knowle….
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Odeuropa @ World Expo2025 in Osaka, … blogpost summarizing our journey with @odeuropa by @IngerLeemans.#EXPO2025 #scent.
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L’IA face au climat : solution ou partie du problème ?.Cet article revient sur notre participation victorieuse au AI Frugal Challenge en marge du AI Summit sponsorisé par @huggingface @QuotaClimat et au nouveau projet #ClimateSense @paolopapotti @EURECOM.
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We had a blast yesterday at @expo2025_japan presenting the @odeuropa research results at the EU Pavilion! Come smell with us at 15h for the last session!.@EURECOM
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Thanks to the jury members who have reviewed this work @kbontcheva @serena_villata @em_alam and @dugelay2eurecom. Work supervised with @paolopapotti.
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A third contribution is a novel method to detect a fine-grained notion of similarity between documents (based on entities, concepts, narrative and implication) or across document length (generic, specific, hybrid). We compare #SentenceBERT with graph embeddings!
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