2 papers
cs.CL2026
Towards Physical Intuitions for Alignment Dynamics: A Case Study With Randomness Crystallization
Kunal Samanta, Ari Holtzman, Peter West
The alignment of language models is typically studied through the lens of capability benchmarks, but the dynamics of how models change during post-training remain poorly understood…
cs.LG2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori +3
The rise in internet usage has led to the generation of massive amounts of data, resulting in the adoption of various supervised and semi-supervised machine learning algorithms, wh…