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cs.CL2025
COMPACT: Common-token Optimized Model Pruning Across Channels and Tokens
Eugene Kwek, Wenpeng Yin
Making large language models (LLMs) more efficient in memory, latency, and serving cost is crucial for edge deployment, interactive applications, and sustainable inference at scale…
cs.CL2025★ 2 cited
A Survey on Post-training of Large Language Models
Guiyao Tie, Zeli Zhao, Dingjie Song +23
The emergence of Large Language Models (LLMs) has fundamentally transformed natural language processing, making them indispensable across domains ranging from conversational system…