Link Prediction via Generalized Coupled Tensor Factorisation - Beyza Ermis; Evrim Acar; A. Taylan Cemgil (CoRR, 2012)

Optimal weight learning for Coupled Tensor Factorization with mixed divergences. - Umut Simsekli; Beyza Ermis; A. Taylan Cemgil; Evrim Acar (EUSIPCO, 2013)

Generalized coupled symmetric tensor factorization for link prediction. - Beyza Ermis; Ali Taylan Cemgil; Evrim Acar (SIU, 2013)

Liver CT Annotation via Generalized Coupled Tensor Factorization. - Beyza Ermis; Ali Taylan Cemgil; Neda Barzegar Marvasti; Burak Acar (CLEF (Working Notes), 2014)

Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization. - Beyza Ermis; Guillaume Bouchard (UAI, 2014)

A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction. - Beyza Ermis; Ali Taylan Cemgil (CoRR, 2014)

Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence. - Beyza Ermis; Yusuf Kenan Yilmaz; Ali Taylan Cemgil; Evrim Acar (CoRR, 2014)

Learning mixed divergences in coupled matrix and tensor factorization models. - Umut Simsekli; Ali Taylan Cemgil; Beyza Ermis (ICASSP, 2015)

Link prediction in heterogeneous data via generalized coupled tensor factorization. - Beyza Ermis; Evrim Acar; Ali Taylan Cemgil (Data Min. Knowl. Discov., 2015)

Differentially Private Dropout. - Beyza Ermis; Ali Taylan Cemgil (CoRR, 2017)

Differentially Private Variational Dropout. - Beyza Ermis; Ali Taylan Cemgil (CoRR, 2017)

Contextual Bandits under Delayed Feedback. - Claire Vernade; Alexandra Carpentier; Giovanni Zappella; Beyza Ermis; Michael Brückner (CoRR, 2018)

Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework. - Sinan Yildirim; Beyza Ermis (Stat. Comput., 2019)

Learning to Rank in the Position Based Model with Bandit Feedback. - Beyza Ermis; Patrick Ernst; Yannik Stein; Giovanni Zappella (CIKM, 2020)

Linear bandits with Stochastic Delayed Feedback. - Claire Vernade; Alexandra Carpentier; Tor Lattimore; Giovanni Zappella; Beyza Ermis; Michael Brückner (ICML, 2020)

Data Sharing via Differentially Private Coupled Matrix Factorization. - Beyza Ermis; A. Taylan Cemgil (ACM Trans. Knowl. Discov. Data, 2020)

Bayesian approaches for privacy preserving data sharing (Mahremiyeti koruyan veri paylaşımında bayesçi yöntemler) - Beyza Ermis (2020)

Towards robust episodic meta-learning. - Beyza Ermis; Giovanni Zappella; Cédric Archambeau (UAI, 2021)

Continual Learning with Transformers for Image Classification. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Aditya Rawal; Cédric Archambeau (CVPR Workshops, 2022)

Memory Efficient Continual Learning with Transformers. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Aditya Rawal; Cédric Archambeau (NeurIPS, 2022)

Memory Efficient Continual Learning for Neural Text Classification. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Cédric Archambeau (CoRR, 2022)

PASHA: Efficient HPO with Progressive Resource Allocation. - Ondrej Bohdal; Lukas Balles; Beyza Ermis; Cédric Archambeau; Giovanni Zappella (CoRR, 2022)

On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. - Luiza Pozzobon; Beyza Ermis; Patrick Lewis 002; Sara Hooker (EMNLP, 2023)

Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. - Luiza Pozzobon; Beyza Ermis; Patrick Lewis 002; Sara Hooker (EMNLP (Findings), 2023)

PASHA: Efficient HPO and NAS with Progressive Resource Allocation. - Ondrej Bohdal; Lukas Balles; Martin Wistuba; Beyza Ermis; Cédric Archambeau; Giovanni Zappella (ICLR, 2023)

Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation. - Meriem Boubdir; Edward Kim; Beyza Ermis; Marzieh Fadaee; Sara Hooker (CoRR, 2023)

From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. - Beyza Ermis; Luiza Pozzobon; Sara Hooker; Patrick Lewis 002 (ACL (Findings), 2024)

The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. - Aakanksha; Arash Ahmadian; Beyza Ermis; Seraphina Goldfarb-Tarrant; Julia Kreutzer; Marzieh Fadaee; Sara Hooker (EMNLP, 2024)

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? - Firat Öncel; Matthias Bethge; Beyza Ermis; Mirco Ravanelli; Cem Subakan; Çagatay Yildiz (EMNLP, 2024)

Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. - Ted Zadouri; Ahmet Üstün; Arash Ahmadian; Beyza Ermis; Acyr Locatelli; Sara Hooker (ICLR, 2024)

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. - Meriem Boubdir; Edward Kim; Beyza Ermis; Sara Hooker; Marzieh Fadaee (NeurIPS, 2024)

Investigating Continual Pretraining in Large Language Models: Insights and Implications. - Çagatay Yildiz; Nishaanth Kanna Ravichandran; Prishruit Punia; Matthias Bethge; Beyza Ermis (CoRR, 2024)

Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress. - Ayomide Odumakinde; Daniel D'souza; Pat Verga; Beyza Ermis; Sara Hooker (CoRR, 2024)

Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning. - Aakanksha; Arash Ahmadian; Seraphina Goldfarb-Tarrant; Beyza Ermis; Marzieh Fadaee; Sara Hooker (CoRR, 2024)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - 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; et al. (CoRR, 2024)

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. - 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; et al. (CoRR, 2024)

Multilingual Arbitration: Optimizing Data Pools to Accelerate Multilingual Progress. - Ayomide Odumakinde; Daniel D'souza; Pat Verga; Beyza Ermis; Sara Hooker (ACL (1), 2025)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - 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; et al. (ACL (1), 2025)

Investigating Continual Pretraining in Large Language Models: Insights and Implications. - Çagatay Yildiz; Nishaanth Kanna Ravichandran; Nitin Sharma; Matthias Bethge; Beyza Ermis (Trans. Mach. Learn. Res., 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation. - 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; et al. (CoRR, 2025)

The Leaderboard Illusion. - 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; et al. (CoRR, 2025)

Aya Vision: Advancing the Frontier of Multilingual Multimodality. - 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; et al. (CoRR, 2025)

How to Improve the Robustness of Closed-Source Models on NLI. - Joe Stacey; Lisa Alazraki; Aran Ubhi; Beyza Ermis; Aaron Mueller; Marek Rei (CoRR, 2025)

The Multilingual Divide and Its Impact on Global AI Safety. - 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; et al. (CoRR, 2025)

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It. - Zheng-Xin Yong; Beyza Ermis; Marzieh Fadaee; Stephen H. Bach; Julia Kreutzer (CoRR, 2025)