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cs.CL2026
Mechanism-Aligned Observability for Training Instability of Large Language Models
Ruixuan Huang, Yipei Wang, Hantao Huang +7
Frontier large language model training consumes massive accelerator fleets over long wall-clock times, making stability failures extremely costly. However, global symptoms such as…
cs.CL2024
PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models
Biao Liu, Wenyi Fang, Xiaoyu Wu +3
Pre-trained Vision-Language (VL) models such as CLIP have demonstrated their excellent performance across numerous downstream tasks. A recent method, Context Optimization (CoOp), f…