Zeman Li

TNT: Improving Chunkwise Training for Test-Time Memorization

ATLAS: Learning to Optimally Memorize the Context at Test Time

Memory Caching: RNNs with Growing Memory

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts

Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models

Synthetic Text Generation for Training Large Language Models via Gradient Matching