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q-bio.GN2024
BSM: Small but Powerful Biological Sequence Model for Genes and Proteins
Weixi Xiang, Xueting Han, Xiujuan Chai +1
Modeling biological sequences such as DNA, RNA, and proteins is crucial for understanding complex processes like gene regulation and protein synthesis. However, most current models…
cs.AI2024
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks
Tianlong Wang, Junzhe Chen, Xueting Han +1
Post-training, particularly reinforcement learning (RL) using self-play-generated data, has become a new learning paradigm for large language models (LLMs). However, scaling RL to…
cs.CL2024★ 1 cited
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models
Shengrui Li, Junzhe Chen, Xueting Han +1
The considerable size of Large Language Models (LLMs) presents notable deployment challenges, particularly on resource-constrained hardware. Structured pruning, offers an effective…