Beyza Ermis
16 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(14)
Natural Language Processing
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Artificial Intelligence
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Learning Types · Machine Learning
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Resources & Methods
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Deep Learning
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Optimization & Theory
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Learning Types · Deep Learning
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Linguistics
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Keywords
large language model
(7)
benchmark evaluation
(3)
domain adaptation
(2)
language model evaluation
(2)
cross-lingual transfer
(2)
elo rating
(2)
language model
(2)
toxicity mitigation
(2)
paired comparison
(2)
text generation
(1)
multilingual nlp
(1)
machine translation
(1)
catastrophic forgetting
(1)
stochastic optimization
(1)
model distillation
(1)
hyperparameter optimization
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continual learning
(1)
neural architecture search
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responsible ai
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incremental learning
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Papers
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
EACL 2026
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
ACL 2025
Multilingual Arbitration: Optimizing Data Pools to Accelerate Multilingual Progress
ACL 2025
The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It
EMNLP 2025
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
EMNLP 2024
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
NeurIPS 2024
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
ACL 2024
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
ICLR 2024
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
EMNLP 2024
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
EMNLP 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models
EMNLP 2023
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
EMNLP 2023
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
ICLR 2023
Memory Efficient Continual Learning with Transformers
NeurIPS 2022
Towards robust episodic meta-learning
UAI 2021
Linear bandits with Stochastic Delayed Feedback
ICML 2020