Beyza Ermis - RankMe

58 papers A* 9A 3Misc 1Journal 35Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection. EACL (Findings) Joe Stacey, Lisa Alazraki, Aran Ubhi, Beyza Ermis, Aaron Mueller, Marek Rei
2026	J	`jnl`	SimMerge: Learning to Select Merge Operators from Similarity Signals. CoRR Oliver Bolton, Aakanksha, Arash Ahmadian, Sara Hooker, Marzieh Fadaee, Beyza Ermis
2026	J	`jnl`	Tiny Aya: Bridging Scale and Multilingual Depth. CoRR Alejandro Salamanca, Diana Abagyan, Daniel D'souza, Ammar Khairi, David Mora, Saurabh Dash, Viraat Aryabumi, Sara Rajaee, Mehrnaz Mofakhami, Ananya Sahu, Thomas Euyang, Brittawnya Prince, Madeline Smith, Hangyu Lin, Acyr Locatelli, Sara Hooker, Tom Kocmi, Aidan N. Gomez, Ivan Zhang, Phil Blunsom, Nick Frosst, Joelle Pineau, Beyza Ermis, Ahmet Üstün, Julia Kreutzer, Marzieh Fadaee
2025	J	`jnl`	Aya Vision: Advancing the Frontier of Multilingual Multimodality. CoRR Saurabh Dash, Yiyang Nan, John Dang, Arash Ahmadian, Shivalika Singh, Madeline Smith, Bharat Venkitesh, Vlad Shmyhlo, Viraat Aryabumi, Walter Beller-Morales, Jeremy Pekmez, Jason Ozuzu, Pierre Richemond, Acyr Locatelli, Nick Frosst, Phil Blunsom, Aidan N. Gomez, Ivan Zhang, Marzieh Fadaee, Manoj Govindassamy, Sudip Roy, Matthias Gallé, Beyza Ermis, Ahmet Üstün, Sara Hooker
2025	—	`conf`	Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. ACL (1) Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Sebastian Ruder, Wei-Yin Ko, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker
2025	J	`jnl`	How to Improve the Robustness of Closed-Source Models on NLI. CoRR Joe Stacey, Lisa Alazraki, Aran Ubhi, Beyza Ermis, Aaron Mueller, Marek Rei
2025	J	`jnl`	Investigating Continual Pretraining in Large Language Models: Insights and Implications. Trans. Mach. Learn. Res. Çagatay Yildiz, Nishaanth Kanna Ravichandran, Nitin Sharma, Matthias Bethge, Beyza Ermis
2025	J	`jnl`	Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation. CoRR Israfel Salazar, Manuel Fernández Burda, Shayekh Bin Islam, Arshia Soltani Moakhar, Shivalika Singh, Fabian Farestam, Angelika Romanou, Danylo Boiko, Dipika Khullar, Mike Zhang, Dominik Krzeminski, Jekaterina Novikova, Luísa Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovic, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia Soltani Moakhar, Gabriel da Costa Merlin, Otávio Ferracioli Coletti, Maral Jabbarishiviari, MohammadAmin farahani fard, Silvia Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, André Guarnier de Mitri, Leticia Bossatto Marchezi, Setayesh Heydari, Johan S. Obando-Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee
2025	—	`conf`	Multilingual Arbitration: Optimizing Data Pools to Accelerate Multilingual Progress. ACL (1) Ayomide Odumakinde, Daniel D'souza, Pat Verga, Beyza Ermis, Sara Hooker
2025	J	`jnl`	The Leaderboard Illusion. CoRR Shivalika Singh, Yiyang Nan, Alex Wang, Daniel D'souza, Sayash Kapoor, Ahmet Üstün, Sanmi Koyejo, Yuntian Deng, Shayne Longpre, Noah Smith, Beyza Ermis, Marzieh Fadaee, Sara Hooker
2025	J	`jnl`	The Multilingual Divide and Its Impact on Global AI Safety. CoRR Aidan Peppin, Julia Kreutzer, Alice Schoenauer Sebag, Kelly Marchisio, Beyza Ermis, John Dang, Samuel Cahyawijaya, Shivalika Singh, Seraphina Goldfarb-Tarrant, Viraat Aryabumi, Aakanksha, Wei-Yin Ko, Ahmet Üstün, Matthias Gallé, Marzieh Fadaee, Sara Hooker
2025	A*	`conf`	The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It. EMNLP Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, Stephen H. Bach, Julia Kreutzer
2025	J	`jnl`	The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It. CoRR Zheng-Xin Yong, Beyza Ermis, Marzieh Fadaee, Stephen H. Bach, Julia Kreutzer
2024	A*	`conf`	Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz
2024	J	`jnl`	Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? CoRR Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz
2024	J	`jnl`	Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. CoRR John Dang, Shivalika Singh, Daniel D'souza, Arash Ahmadian, Alejandro Salamanca, Madeline Smith, Aidan Peppin, Sungjin Hong, Manoj Govindassamy, Terrence Zhao, Sandra Kublik, Meor Amer, Viraat Aryabumi, Jon Ander Campos, Yi Chern Tan, Tom Kocmi, Florian Strub, Nathan Grinsztajn, Yannis Flet-Berliac, Acyr Locatelli, Hangyu Lin, Dwarak Talupuru, Bharat Venkitesh, David Cairuz, Bowen Yang, Tim Chung, Wei-Yin Ko, Sylvie Shang Shi, Amir Shukayev, Sammie Bae, Aleksandra Piktus, Roman Castagné, Felipe Cruz-Salinas, Eddie Kim, Lucas Crawhall-Stein, Adrien Morisot, Sudip Roy, Phil Blunsom, Ivan Zhang, Aidan N. Gomez, Nick Frosst, Marzieh Fadaee, Beyza Ermis, Ahmet Üstün, Sara Hooker
2024	A*	`conf`	Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. NeurIPS Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee
2024	—	`conf`	From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. ACL (Findings) Beyza Ermis, Luiza Pozzobon, Sara Hooker, Patrick Lewis
2024	J	`jnl`	From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. CoRR Luiza Pozzobon, Patrick Lewis, Sara Hooker, Beyza Ermis
2024	J	`jnl`	Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. CoRR Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Wei-Yin Ko, Madeline Smith, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker
2024	J	`jnl`	Investigating Continual Pretraining in Large Language Models: Insights and Implications. CoRR Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis
2024	J	`jnl`	Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning. CoRR Aakanksha, Arash Ahmadian, Seraphina Goldfarb-Tarrant, Beyza Ermis, Marzieh Fadaee, Sara Hooker
2024	J	`jnl`	Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress. CoRR Ayomide Odumakinde, Daniel D'souza, Pat Verga, Beyza Ermis, Sara Hooker
2024	A*	`conf`	Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. ICLR Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker
2024	A*	`conf`	The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. EMNLP Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker
2024	J	`jnl`	The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. CoRR Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker
2023	J	`jnl`	Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. CoRR Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee
2023	—	`conf`	Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. EMNLP (Findings) Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker
2023	J	`jnl`	Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. CoRR Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker
2023	A*	`conf`	On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. EMNLP Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker
2023	J	`jnl`	On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. CoRR Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker
2023	A*	`conf`	PASHA: Efficient HPO and NAS with Progressive Resource Allocation. ICLR Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cédric Archambeau, Giovanni Zappella
2023	J	`jnl`	Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. CoRR Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker
2023	J	`jnl`	Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation. CoRR Meriem Boubdir, Edward Kim, Beyza Ermis, Marzieh Fadaee, Sara Hooker
2022	—	`conf`	Continual Learning with Transformers for Image Classification. CVPR Workshops Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	Continual Learning with Transformers for Image Classification. CoRR Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	Memory Efficient Continual Learning for Neural Text Classification. CoRR Beyza Ermis, Giovanni Zappella, Martin Wistuba, Cédric Archambeau
2022	A*	`conf`	Memory Efficient Continual Learning with Transformers. NeurIPS Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	PASHA: Efficient HPO with Progressive Resource Allocation. CoRR Ondrej Bohdal, Lukas Balles, Beyza Ermis, Cédric Archambeau, Giovanni Zappella
2021	A	`conf`	Towards robust episodic meta-learning. UAI Beyza Ermis, Giovanni Zappella, Cédric Archambeau
2020	—	`—`	Bayesian approaches for privacy preserving data sharing (Mahremiyeti koruyan veri paylaşımında bayesçi yöntemler) Beyza Ermis
2020	J	`jnl`	Data Sharing via Differentially Private Coupled Matrix Factorization. ACM Trans. Knowl. Discov. Data Beyza Ermis, A. Taylan Cemgil
2020	A	`conf`	Learning to Rank in the Position Based Model with Bandit Feedback. CIKM Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
2020	J	`jnl`	Learning to Rank in the Position Based Model with Bandit Feedback. CoRR Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
2020	A*	`conf`	Linear bandits with Stochastic Delayed Feedback. ICML Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner
2019	J	`jnl`	Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework. Stat. Comput. Sinan Yildirim, Beyza Ermis
2018	J	`jnl`	Contextual Bandits under Delayed Feedback. CoRR Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner
2017	J	`jnl`	Differentially Private Dropout. CoRR Beyza Ermis, Ali Taylan Cemgil
2017	J	`jnl`	Differentially Private Variational Dropout. CoRR Beyza Ermis, Ali Taylan Cemgil
2015	Misc	`conf`	Learning mixed divergences in coupled matrix and tensor factorization models. ICASSP Umut Simsekli, Ali Taylan Cemgil, Beyza Ermis
2015	J	`jnl`	Link prediction in heterogeneous data via generalized coupled tensor factorization. Data Min. Knowl. Discov. Beyza Ermis, Evrim Acar, Ali Taylan Cemgil
2014	J	`jnl`	A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction. CoRR Beyza Ermis, Ali Taylan Cemgil
2014	A	`conf`	Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization. UAI Beyza Ermis, Guillaume Bouchard
2014	—	`conf`	Liver CT Annotation via Generalized Coupled Tensor Factorization. CLEF (Working Notes) Beyza Ermis, Ali Taylan Cemgil, Neda Barzegar Marvasti, Burak Acar
2014	J	`jnl`	Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence. CoRR Beyza Ermis, Yusuf Kenan Yilmaz, Ali Taylan Cemgil, Evrim Acar
2013	—	`conf`	Generalized coupled symmetric tensor factorization for link prediction. SIU Beyza Ermis, Ali Taylan Cemgil, Evrim Acar
2013	—	`conf`	Optimal weight learning for Coupled Tensor Factorization with mixed divergences. EUSIPCO Umut Simsekli, Beyza Ermis, A. Taylan Cemgil, Evrim Acar
2012	J	`jnl`	Link Prediction via Generalized Coupled Tensor Factorisation CoRR Beyza Ermis, Evrim Acar, A. Taylan Cemgil