Oral Presentations

Oral session

1. Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

2. Parameter-Efficient Fine-Tuning of State Space Models

Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

3. Entropic Distribution Matching for Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity

Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

4. RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates

Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Mojtaba Soltanalian, Niloofar Yousefi

5. A Meta-Algorithm for Aligning LLMs with General Preferences

Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan