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Papers
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
EMNLP 2025
Batayan: A Filipino NLP benchmark for evaluating Large Language Models
ACL 2025
In Benchmarks We Trust ... Or Not?
EMNLP 2025
Sinhala Encoder-only Language Models and Evaluation
ACL 2025
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
ACL 2024
NLP Progress in Indigenous Latin American Languages
NAACL 2024
Vygotsky Distance: Measure for Benchmark Task Similarity
COLING 2024
Superlim: A Swedish Language Understanding Evaluation Benchmark
EMNLP 2023
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions
EMNLP 2023
A global analysis of metrics used for measuring performance in natural language processing
ACL 2022
KoBEST: Korean Balanced Evaluation of Significant Tasks
COLING 2022
Mukayese: Turkish NLP Strikes Back
ACL 2022
Evaluating the Robustness of Neural Language Models to Input Perturbations
EMNLP 2021
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ACL 2020
PuzzLing Machines: A Challenge on Learning From Small Data
ACL 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards
EMNLP 2020