Search papers, labs, and topics across Lattice.
University of Chinese Academy of Sciences
3
0
7
2
Bridging the gap between proprietary and open-source models, MAPD achieves up to 44.4% success in QA tasks by transforming sparse RL signals into dense distillation guidance.
PReM achieves a remarkable balance between context preservation and refresh, outperforming existing methods even at 32x compression rates.
Models fine-tuned with LongCrafter data achieve unprecedented performance on long-context tasks, particularly in high-difficulty scenarios.
