Nicola Cancedda

73 papers A* 7A 1B 8C 2Misc 1Journal 28Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIRA_2: Overcoming Bottlenecks in AI Research Agents. CoRR Karen Hambardzumyan, Nicolas Mario Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Maria Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski
2025	J	`jnl`	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Mario Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Kelvin Niu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H. Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach
2025	J	`jnl`	AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. CoRR Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation. CoRR Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, Chenxi Whitehouse, Adina Williams, Nicola Cancedda
2025	A*	`conf`	Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations. EMNLP Ziwei Ji, Lei Yu, Yeskendir Koishekenov, Yejin Bang, Anthony Hartshorn, Alan Schelten, Cheng Zhang, Pascale Fung, Nicola Cancedda
2025	J	`jnl`	Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations. CoRR Ziwei Ji, Lei Yu, Yeskendir Koishekenov, Yejin Bang, Anthony Hartshorn, Alan Schelten, Cheng Zhang, Pascale Fung, Nicola Cancedda
2025	A*	`conf`	Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. IJCAI Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra
2025	J	`jnl`	Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning. CoRR William F. Shen, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts. CoRR Yeskendir Koishekenov, Aldo Lipani, Nicola Cancedda
2025	—	`conf`	HalluLens: LLM Hallucination Benchmark. ACL (1) Yejin Bang, Ziwei Ji, Alan Schelten, Anthony Hartshorn, Tara Fowler, Cheng Zhang, Nicola Cancedda, Pascale Fung
2025	J	`jnl`	HalluLens: LLM Hallucination Benchmark. CoRR Yejin Bang, Ziwei Ji, Alan Schelten, Anthony Hartshorn, Tara Fowler, Cheng Zhang, Nicola Cancedda, Pascale Fung
2025	J	`jnl`	Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning. CoRR Wannan Yang, Xinchi Qiu, Lei Yu, Yuchen Zhang, Oliver Aobo Yang, Narine Kokhlikyan, Nicola Cancedda, Diego Garcia-Olano
2025	J	`jnl`	LUNAR: LLM Unlearning via Neural Activation Redirection. CoRR William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
2025	A*	`conf`	Robust LLM safeguarding via refusal feature adversarial training. ICLR Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda
2025	J	`jnl`	Verifying Chain-of-Thought Reasoning via Its Computational Graph. CoRR Zheng Zhao, Yeskendir Koishekenov, Xianjun Yang, Naila Murray, Nicola Cancedda
2024	—	`conf`	Know When To Stop: A Study of Semantic Drift in Text Generation. NAACL-HLT Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda
2024	J	`jnl`	Know When To Stop: A Study of Semantic Drift in Text Generation. CoRR Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda
2024	J	`jnl`	PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
2024	J	`jnl`	Robust LLM safeguarding via refusal feature adversarial training. CoRR Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda
2024	J	`jnl`	Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. CoRR Alisia Maria Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob N. Foerster, Roberta Raileanu, Maria Lomeli
2024	—	`conf`	Spectral Filters, Dark Signals, and Attention Sinks. ACL (1) Nicola Cancedda
2024	J	`jnl`	Spectral Filters, Dark Signals, and Attention Sinks. CoRR Nicola Cancedda
2023	J	`jnl`	Multilingual End to End Entity Linking. CoRR Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda
2023	A*	`conf`	Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. EMNLP Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda
2023	J	`jnl`	Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. CoRR Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda
2023	A*	`conf`	Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
2023	J	`jnl`	Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
2022	A*	`conf`	EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. EMNLP Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
2022	J	`jnl`	EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. CoRR Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
2022	J	`jnl`	Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2021	J	`jnl`	Multilingual Autoregressive Entity Linking. CoRR Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2017	—	`ch.`	Cross-Lingual Text Mining. Encyclopedia of Machine Learning and Data Mining Nicola Cancedda, Jean-Michel Renders
2017	A	`conf`	Reply With: Proactive Recommendation of Email Attachments. CIKM Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda
2017	J	`jnl`	Reply With: Proactive Recommendation of Email Attachments. CoRR Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda
2014	B	`conf`	Fast Domain Adaptation of SMT models without in-Domain Parallel Data. COLING Prashant Mathur, Sriram Venkatapathy, Nicola Cancedda
2013	—	`conf`	Assessing quick update methods of statistical translation models. IWSLT Shachar Mirkin, Nicola Cancedda
2013	J	`jnl`	Generation of Compound Words in Statistical Machine Translation into Compounding Languages. Comput. Linguistics Sara Stymne, Nicola Cancedda, Lars Ahrenberg
2012	—	`conf`	Prediction of Learning Curves in Machine Translation. ACL (1) Prasanth Kolachina, Nicola Cancedda, Marc Dymetman, Sriram Venkatapathy
2012	—	`conf`	Private Access to Phrase Tables for Statistical Machine Translation. ACL (2) Nicola Cancedda
2012	B	`conf`	Task-Driven Linguistic Analysis based on an Underspecified Features Representation. LREC Stasinos Konstantopoulos, Valia Kordoni, Nicola Cancedda, Vangelis Karkaletsis, Dietrich Klakow, Jean-Michel Renders
2011	—	`conf`	Confidence-Weighted Learning of Factored Discriminative Language Models. ACL (2) Viet Ha-Thuc, Nicola Cancedda
2011	—	`conf`	Productive Generation of Compound Words in Statistical Machine Translation. WMT@EMNLP Sara Stymne, Nicola Cancedda
2010	B	`conf`	A Dataset for Assessing Machine Translation Evaluation Metrics. LREC Lucia Specia, Nicola Cancedda, Marc Dymetman
2010	—	`ch.`	Cross-Lingual Text Mining. Encyclopedia of Machine Learning Nicola Cancedda, Jean-Michel Renders
2010	—	`conf`	Intersecting Hierarchical and Phrase-Based Models of Translation: Formal Aspects and Algorithms. SSST@COLING Marc Dymetman, Nicola Cancedda
2010	Misc	`conf`	Machine Translation Using Overlapping Alignments and SampleRank. AMTA Benjamin Roth, Andrew McCallum, Marc Dymetman, Nicola Cancedda
2010	A*	`conf`	Minimum Error Rate Training by Sampling the Translation Lattice. EMNLP Samidh Chatterjee, Nicola Cancedda
2010	J	`jnl`	Pushing the frontier of Statistical Machine Translation: Preface. Mach. Transl. Lucia Specia, Nicola Cancedda
2009	—	`conf`	Closing remarks. SMART@EAMT Nicola Cancedda
2009	—	`conf`	Complexity-Based Phrase-Table Filtering for Statistical Machine Translation. MTSummit Nadi Tomeh, Nicola Cancedda, Marc Dymetman
2009	C	`conf`	Estimating the Sentence-Level Quality of Machine Translation Systems. EAMT Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, Marc Dymetman
2009	J	`jnl`	Factored sequence kernels. Neurocomputing Nicola Cancedda, Pierre Mahé
2009	—	`conf`	Introduction. SMART@EAMT Nicola Cancedda
2009	—	`conf`	Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem. ACL/IJCNLP Mikhail Zaslavskiy, Marc Dymetman, Nicola Cancedda
2009	—	`conf`	Sentence-level confidence estimation for MT. SMART@EAMT Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor
2009	—	`conf`	Source-Language Entailment Modeling for Translating Unknown Terms. ACL/IJCNLP Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman, Idan Szpektor
2008	B	`conf`	Factored sequence kernels. ESANN Pierre Mahé, Nicola Cancedda
2008	C	`conf`	Shaping research from user requirements, and other exotic things... EAMT Nicola Cancedda
2005	—	`conf`	Translating with Non-contiguous Phrases. HLT/EMNLP Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, Éric Gaussier, Cyril Goutte, Kenji Yamada, Philippe Langlais, Arne Mauser
2005	—	`conf`	Une approche à la traduction automatique statistique par segments discontinus. TALN (Articles longs) Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, Éric Gaussier, Cyril Goutte, Philippe Langlais, Arne Mauser, Kenji Yamada
2003	—	`conf`	Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. CLEF Nicola Cancedda, Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Alexei Vinokourov
2003	—	`conf`	Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. CLEF (Working Notes) Nicola Cancedda, Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Alexei Vinokourov
2003	J	`jnl`	Word-Sequence Kernels. J. Mach. Learn. Res. Nicola Cancedda, Éric Gaussier, Cyril Goutte, Jean-Michel Renders
2002	B	`conf`	Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition. CoNLL Cyril Goutte, Hervé Déjean, Éric Gaussier, Nicola Cancedda, Jean-Michel Renders
2002	—	`conf`	Kernel Methods for Document Filtering. TREC Nicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Yaoyong Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile
2001	J	`jnl`	Learning Computational Grammars CoRR John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Alistair Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang
2001	B	`conf`	Learning Computational Grammars. CoNLL John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Alistair Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang
2001	B	`conf`	Probabilistic models for PP-attachment resolution and NP analysis. CoNLL Éric Gaussier, Nicola Cancedda
2001	B	`conf`	Probabilistic models for terminology extraction and knowledge structuring from documents. SMC Éric Gaussier, Nicola Cancedda
2000	—	`conf`	Corpus-Based Grammar Specialization. CoNLL/LLL Nicola Cancedda, Christer Samuelsson
2000	—	`conf`	Experiments with Corpus-based LFG Specialization. ANLP Nicola Cancedda, Christer Samuelsson
1997	—	`conf`	A Hybrid Approach to Hypertext Generation. AI*IA Nicola Cancedda, Gjertrud Kamstrup, Emanuele Pianta, Ettore Pietrosanti
1995	—	`conf`	Integrating Shallow and Linguistic Techniques for Information Extraction from Text. AI*IA Fabio Ciravegna, Nicola Cancedda