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Amal Zouaq
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Amal Zouaq11 visible / 11 total nodes / 32 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalAuthorshipAmal ZouaqAAmal ZouaqResearcherProbabilistic Calibration Is a Trainable Capability in Language ModelsWProbabilistic Calibrati...preprint / 2026Davide BaldelliADavide BaldelliResearcherSruthi KuriakoseASruthi KuriakoseResearcherMaryam HashemzadehAMaryam HashemzadehResearcherSarath ChandarASarath ChandarResearcherComputation and LanguageTComputation and Language14115 worksToward a traceable, explainable, and fairJD/Resume recommendation systemWToward a traceable, exp...preprint / 2022Local Structure Matters Most: Perturbation Study in NLUWLocal Structure Matters...preprint / 2022MLMLM: Link Prediction with Mean Likelihood Masked Language ModelWMLMLM: Link Prediction ...preprint / 2020LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language AgentsWLLMs Can't Play Hangman...preprint / 2026
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Amal Zouaq

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PaperProbabilistic Calibration Is a Trainable Capability in Language ModelsAuthorship / preprint / 2026PersonDavide BaldelliCo-authorship / ResearcherPersonSruthi KuriakoseCo-authorship / ResearcherPersonMaryam HashemzadehCo-authorship / ResearcherPersonSarath ChandarCo-authorship / ResearcherTopicComputation and LanguageWorks on / 14115 worksPaperToward a traceable, explainable, and fairJD/Resume recommendation systemAuthorship / preprint / 2022PaperLocal Structure Matters Most: Perturbation Study in NLUAuthorship / preprint / 2022

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