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Raphaël Troncy Profile
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
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@rtroncy
Raphaël Troncy
15 days
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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@rtroncy
Raphaël Troncy
17 days
RT @GwenComte: Congratulations to Youssra REBBOUD who successfully defended her PhD thesis today, supervised by @rtroncy @PasqLisena @maraz….
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@rtroncy
Raphaël Troncy
18 days
Thanks to the jury members for having evaluated this work: @elen2016 Enrico Motta @serena_villata @paolopapotti / co supervised with @PasqLisena
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@rtroncy
Raphaël Troncy
18 days
The final contribution is a rule-based system that again makes use of fine-grained causal relationships between events for explaining fact-checking results. Evaluated on the #FEVEROUS and #AVeriTeC datasets.
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@rtroncy
Raphaël Troncy
18 days
A third contribution is a method that relies on the JoinGT system but incorporates fine-grained causal relationships between events from FARO for generating narratives and stories of events. We demonstrated that qualitatively, the generated summaries are more complete.
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@rtroncy
Raphaël Troncy
18 days
This dataset can then be used to fine-tune language models (RoBERTa and REBEL) to be more effective at detecting fine-grained causal relationships between events in texts. A demonstrator making use of these models is available at
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@rtroncy
Raphaël Troncy
18 days
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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@rtroncy
Raphaël Troncy
18 days
Youssra also investigated how capable #LLMs are for reverse-engineering competency questions and deriving user stories out of formal ontologies. Results demonstrate that recent large models such as GPT4 are effective for general domain.
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@rtroncy
Raphaël Troncy
18 days
A first contribution is the Facts and Events Relationships Ontology (FARO) that harmonizes different models representing event relations. This is available at
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Raphaël Troncy
18 days
This is #PhD defense day at @EURECOM . Youssra Rebboud is defending her 3.5 years research work on causal event relationship modeling, extraction and applications derived from them,
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@rtroncy
Raphaël Troncy
1 month
RT @pgroth: Trip Report: ESWC 2025 #eswc2025.
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@rtroncy
Raphaël Troncy
1 month
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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@rtroncy
Raphaël Troncy
2 months
Odeuropa @ World Expo2025 in Osaka, … blogpost summarizing our journey with @odeuropa by @IngerLeemans.#EXPO2025 #scent.
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@rtroncy
Raphaël Troncy
2 months
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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@rtroncy
Raphaël Troncy
3 months
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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@rtroncy
Raphaël Troncy
3 months
📢A unique fully funded three-years PhD position is open at POLITO and EURECOM. Title: Enhancing Educational Storytelling with Human-Centered AI in the LLM Era.Application deadline: April 28, 2025.Details:
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@rtroncy
Raphaël Troncy
3 months
Starter pack : comment créer sa figurine sur chatGPT, avec quel prompt ? - La Voix du Nord
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@rtroncy
Raphaël Troncy
4 months
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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@rtroncy
Raphaël Troncy
4 months
Learn more in these various publications, several of them having been awarded as Best Paper. All code available at and
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@rtroncy
Raphaël Troncy
4 months
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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