Publications

(2024). Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2024). TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2024). Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators. The First Conference on Language Modeling (COLM).

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(2024). Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. International Conference on Learning Representations (ICLR).

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(2024). AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning. Transactions of the Association for Computational Linguistics (TACL).

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(2023). Can Large Language Models Achieve Calibration with In-Context Learning?. ICLR 2024 Workshop on Reliable and Responsible Foundation Models.

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(2023). Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning. Findings of the Association for Computational Linguistics (EMNLP).

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(2023). A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2023). Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems. Transactions of the Association for Computational Linguistics (TACL).

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(2023). GreenPLM: Cross-Lingual Transfer of Monolingual Large Language Models at Almost No Cost. The 32nd International Joint Conference on Artificial Intelligence (IJCAI).

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(2023). XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. Findings of the Association for Computational Linguistics (EACL).

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