3 papers
cs.CL2026
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
Xinlan Yan, Di Wu, Yibin Lei +2
In this paper, we introduce S-MedQA, an English medical question-answering (QA) dataset designed for benchmarking large language models (LLMs) in fine-grained clinical specialties.…
cs.IR2025
InPars+: Supercharging Synthetic Data Generation for Information Retrieval Systems
Matey Krastev, Miklos Hamar, Danilo Toapanta +2
This work revisits and extends synthetic query generation pipelines for Neural Information Retrieval (NIR) by leveraging the InPars Toolkit, a reproducible, end-to-end framework fo…
cs.CL2025
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu, Yibin Lei, Christof Monz
Neural machine translation (NMT) systems typically employ maximum a posteriori (MAP) decoding to select the highest-scoring translation from the distribution mass. However, recent…