📝 Selected Publications

For a full list, please see my Google Scholar profile. (* equal contribution)

Yongji Fu, Yi Zhou, Gaojie Jin, Guanqun Cao. Learning to Search, Searching to Learn: A Closed-Loop Framework for Large-Scale Vehicle Routing. NeurIPS 2026.
Yi Zhou*, Kiamehr Rezaee*, Danushka Bollegala, Mohammad Taher Pilehvar, Jose Camacho-Collados. WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution. AACL 2026.
Xinyu Li, Yi Zhou, Guanqun Cao, Zeyu Fu, Tianjin Huang, Gaojie Jin. Localize-Then-Decide Guarantees for LLM Judgments. Findings of EMNLP 2026.
Tianhui Zhang, Yi Zhou, Danushka Bollegala. Evaluating the Effect of Retrieval Augmentation on Social Biases. EACL 2026.
Gaifan Zhang, Yi Zhou, Danushka Bollegala. CASE — Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement. EACL 2026.

Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, et al. (incl. Yi Zhou). BRIGHTER: Bridging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages. ACL 2025. 🏆 Best Resource Paper Award
Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, David Anugraha, Rifki Afina Putri, Wang Yutong, Adam Nohejl, et al. (incl. Yi Zhou). WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. NAACL 2025. 🏆 Best Theme Paper Award
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle, et al. (incl. Yi Zhou). SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection. SemEval 2025. 🏆 Best Task Award
Gaifan Zhang, Yi Zhou, Danushka Bollegala. Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models. EMNLP 2025.
Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li, Chenghua Lin. DocMMIR: A Framework for Document Multi-modal Information Retrieval. Findings of EMNLP 2025.

Junho Myung*, Nayeon Lee*, Yi Zhou*, Jiho Jin, Rifki Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, Victor Gutierrez Basulto, Yazmin Ibanez-Garcia, Hwaran Lee, Shamsuddeen H. Muhammad, Kiwoong Park, Anar Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, Jose Camacho-Collados, Alice Oh. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages. NeurIPS 2024 Datasets and Benchmarks Track. 🏆 Best Non-archival Paper, C3NLP Workshop
Yi Zhou, Danushka Bollegala, Jose Camacho-Collados. Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models. EMNLP 2024.
Gaifan Zhang, Yi Zhou, Danushka Bollegala. Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings. LREC-COLING 2024.

Yi Zhou, Jose Camacho-Collados, Danushka Bollegala. A Predictive Factor Analysis of Social Biases and Task-Performance in Pre-trained Masked Language Models. EMNLP 2023.
Asahi Ushio, Yi Zhou, Jose Camacho-Collados. An Efficient Multilingual Language Model Compression through Vocabulary Trimming. Findings of EMNLP 2023.
Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala. Can Word Sense Distribution Detect Semantic Changes of Words? Findings of EMNLP 2023.
Xiaohang Tang, Yi Zhou, Danushka Bollegala. Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. ACL 2023.
Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala. Solving Cosine Similarity Underestimation between High-Frequency Words by L2 Norm Discounting. Findings of ACL 2023.
Haochen Luo, Yi Zhou, Danushka Bollegala. Together We Make Sense — Learning Meta-Sense Embeddings. Findings of ACL 2023.

Yi Zhou, Danushka Bollegala. On the Curious Case of ℓ2 Norm of Sense Embeddings. Findings of EMNLP 2022.
Yi Zhou, Masahiro Kaneko, Danushka Bollegala. Sense Embeddings are also Biased — Evaluating Social Biases in Static and Contextualised Sense Embeddings. ACL 2022.