Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews

arXiv:2604.07119 · cs.CL · Submitted 2026-04-08 · Read on arXiv

cs.CL

Submitted: 2026-04-08

Updated: 2026-09-01

Code: https://github.com/GGLAB-KU/LOBSTER

Project page: https://gglab-ku.github.io

Terminology

• Generalizability — 19× in this paper · explained in 6 episodes
• Benchmarking — 10× in this paper · explained in 3 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Domain Adaptation — 7× in this paper · explained in 5 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Low-Resource Languages — 4× in this paper · explained in 4 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Methodological Rigor — 1× in this paper · explained in 2 episodes
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

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