Seminar Spring 2025
Contents
Presentation Schedule
---Jan 22 ---
Ziqi
Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models. arXiv preprint arXiv:2305.19187.
---Jan 29 ---
Daoyi
---Feb 5 ---
Zichen (Lab Meeting)
---Feb 12 ---
Cancelled
---Feb 19 ---
Ruiqi & Peiqi
DeepSeek Series
---Feb 26 ---
Ben Labrador: Exploring the limits of masked language modeling for laboratory data
---Mar 5 ---
Charles Self-rag: Learning to retrieve, generate, and critique through self-reflection. In The Twelfth International Conference on Learning Representations.
---Mar 12 ---
Claire https://ieeexplore.ieee.org/document/10628577
---Mar 19 ---
Hanyang
---Mar 26 ---
Hangyue Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution https://arxiv.org/pdf/2503.02261
---Apr 2 ---
Cancelled
---Apr 9 ---
Zichen
---Apr 16 ---
Daoyi
Oral Exam Practices: RARR: Researching and Revising What Language Models Say, Using Language Models https://aclanthology.org/2023.acl-long.910.pdf Trusting Your Evidence: Hallucinate Less with Context-aware Decoding https://aclanthology.org/2024.naacl-short.69.pdf Fine-tuning Language Models for Factuality https://arxiv.org/pdf/2311.08401
---Apr 23 ---
Ziqi
Gu B, Desai R J, Lin K J, et al. Probabilistic medical predictions of large language models[J]. npj Digital Medicine, 2024, 7(1): 367. https://www.nature.com/articles/s41746-024-01366-4 Xiong M, Hu Z, Lu X, et al. Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms[J]. Published in ICLR 2024. https://openreview.net/forum?id=gjeQKFxFpZ
---Apr 30 ---
Claire
