Pierre Colombo

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i10-index	26	26

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Pablo PiantanidaInternational Laboratory on Learning Systems (ILLS) & Quebec AI Institute (MILA), CNRSVerified email at cnrs.fr
Guillaume StaermanPostdoc at INRIA (Parietal)Verified email at inria.fr
Emile ChapuisLISNVerified email at lisn.upsaclay.fr
Matthieu LabeauTelecom ParisVerified email at telecom-paris.fr
Giovanna VarniAssociate Professor at University of TrentoVerified email at unitn.it
Matteo ManicaIBM ResearchVerified email at zurich.ibm.com
Mubbasir KapadiaRutgers University, Computer Science DepartmentVerified email at rutgers.edu
Ashutosh ModiIndian Institute of Technology KanpurVerified email at cse.iitk.ac.in
Emmanuel VignonVerified email at sicara.com
Eduardo Dadalto Câmara GomesPhD candidate, Université Paris-Saclay CNRS CentraleSupélecVerified email at centralesupelec.fr
James KennedyDisney Research Los AngelesVerified email at disney.com
Florence d'Alché-BucTélécom Paris, Institut Polytechnique de ParisVerified email at telecom-paris.fr
Nuno Miguel GuerreiroPhD Student, Instituto de TelecomunicaçõesVerified email at tecnico.ulisboa.pt
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoVerified email at cs.cmu.edu
Malik BoudiafETS MontrealVerified email at etsmtl.net
Ekhine IrurozkiTelecom ParisVerified email at telecom-paris.fr
Maxime DarrinILLS, MILA, McGill University, Université Paris SaclayVerified email at mila.quebec
Günther KolianderResearcher, ARI ÖAWVerified email at oeaw.ac.at
Georg PichlerPostDoc researcher, TU Wien, Vienna, AustriaVerified email at tuwien.ac.at
Pavlo MozharovskyiLTCI, Telecom Paris, Institut Polytechnique de ParisVerified email at telecom-paris.fr

Pierre Colombo

Ass. Prof @Univ ParisSacaly (MICS - CentraleSupelec)

Verified email at centralesupelec.fr - Homepage

Safe AI Large Language Models Fairness Model Evaluation


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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022	700	2022
Affect-driven dialog generation P Colombo, W Witon, A Modi, J Kennedy, M Kapadia NAACL 2019, 2019	145	2019
Guiding attention in sequence-to-sequence models for dialogue act prediction P Colombo, E Chapuis, M Manica, E Vignon, G Varni, C Clavel (𝐎𝐫𝐚𝐥) AAAI 2020, 2020	67	2020
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations P Colombo, C Clavel, P Piantanida (𝐎𝐫𝐚𝐥) ACL 2021, 2021	65	2021
Hierarchical pre-training for sequence labelling in spoken dialog E Chapuis, P Colombo, M Manica, M Labeau, C Clavel Finding of EMNLP 2020, 2020	62	2020
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021	61*	2021
The BigScience Corpus A 1.6 TB Composite Multilingual Dataset H Laurençon, L Saulnier, T Wang, C Akiki, AV del Moral, T Le Scao, ... (𝐎𝐫𝐚𝐥) NeurIPS 2022, 2022	53*	2022
Heavy-tailed representations, text polarity classification & data augmentation H Jalalzai, P Colombo, C Clavel, É Gaussier, G Varni, E Vignon, ... NeurIPS 2020, 2020	51	2020
Automatic Text Evaluation through the Lens of Wasserstein Barycenters P Colombo, G Staerman, C Clavel, P Piantanida (𝐎𝐫𝐚𝐥) EMNLP 2021, 2021	44	2021
The importance of fillers for text representations of speech transcripts T Dinkar, P Colombo, M Labeau, C Clavel EMNLP 2020, 2020	42	2020
Disney at iest 2018: Predicting emotions using an ensemble W Witon, P Colombo, A Modi, M Kapadia Wassa @EMNP2018, 2018	42	2018
From the token to the review: A hierarchical multimodal approach to opinion mining A Garcia, P Colombo, S Essid, F d'Alché-Buc, C Clavel EMNLP 2019, 2019	41	2019
Code-switched inspired losses for spoken dialog representations P Colombo, E Chapuis, M Labeau, C Clavel EMNLP 2021, 2021	38*	2021
A Differential Entropy Estimator for Training Neural Networks G Pichler, PJA Colombo, M Boudiaf, G Koliander, P Piantanida (𝐎𝐫𝐚𝐥) ICML 2022, 2022	37	2022
Improving Multimodal fusion via Mutual Dependency Maximisation P Colombo, E Chapuis, M Labeau, C Clavel (𝐎𝐫𝐚𝐥) EMNLP 2021, 2021	34	2021
Learning Disentangled Textual Representations via Statistical Measures of Similarity P Colombo, G Staerman, N Noiry, P Piantanida (𝐎𝐫𝐚𝐥) ACL 2022, 2022	33	2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation P Colombo, C Clave, P Piantanida (𝐁𝐞𝐬𝐭 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐏𝐚𝐩𝐞𝐫 𝐀𝐰𝐚𝐫𝐝) AAAI 2022, 2021	32	2021
Learning to represent and generate text using information measures P Colombo (PhD thesis) Institut polytechnique de Paris, 2021	32	2021
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation C Chhun, P Colombo, C Clavel, FM Suchanek (𝐎𝐫𝐚𝐥) COLING 2022, 2022	26	2022
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions G Staerman, P Mozharovskyi, P Colombo, S Clémençon, F d'Alché-Buc arXiv e-prints, arXiv: 2103.12711, 2021	24*	2021

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