@inproceedings{kim2025challenging,title={Challenging the Evaluator: LLM Sycophancy Under User Rebuttal},author={Kim, Sungwon and Khashabi, Daniel},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2025},year={2025},month=sep,doi={10.48550/arXiv.2509.16533},url={https://arxiv.org/abs/2509.16533},}
arXiv
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
Biomedical researchers increasingly rely on large-scale structured databases for complex analytical tasks. However, current text-to-SQL systems often struggle to map qualitative scientific questions into executable SQL...
@article{koretsky2025biomedsql,title={BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases},author={},journal={arXiv preprint arXiv:2505.20321},year={2025},month=may,doi={10.48550/arXiv.2505.20321},url={https://arxiv.org/abs/2505.20321},}