linguistic bia

Overview of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026) EACL 2026 Power Asymmetries, Bias, and AI, a Reflection of Society on Low-Resourced Languages - African Languages as Case Study EACL 2026 Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases ACL 2025 Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases ACL 2025 EqualizeIR: Mitigating Linguistic Biases in Retrieval Models NAACL 2025 Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models ICCV 2025 Measuring Bias and Agreement in Large Language Model Presupposition Judgments ACL 2025 Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025) COLING 2025 Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games EMNLP 2025 Beyond the Surface: Spurious Cues in Automatic Media Bias Detection EACL 2024 EcoSpeak: Cost-Efficient Bias Mitigation for Partially Cross-Lingual Speaker Verification NAACL 2024 Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination EMNLP 2024 Revisiting the Role of Language Priors in Vision-Language Models ICML 2024 Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain EMNLP 2023 Large Language Models are Temporal and Causal Reasoners for Video Question Answering EMNLP 2023 Average Is Not Enough: Caveats of Multilingual Evaluation EMNLP 2022 Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference COLING 2022 FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification Systems NAACL 2022 “Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models EMNLP 2021