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20242026
most citedRetroDFM-R: Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning

2 citations · 2 across the 14 of their papers we have counts for

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cs.CL2024

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity

Da Ma, Lu Chen, Situo Zhang +8

The rapid expansion of context window sizes in Large Language Models~(LLMs) has enabled them to tackle increasingly complex tasks involving lengthy documents. However, this progres…

cs.CL2024

Evolving Subnetwork Training for Large Language Models

Hanqi Li, Lu Chen, Da Ma +3

Large language models have ushered in a new era of artificial intelligence research. However, their substantial training costs hinder further development and widespread adoption. I…

cs.CL2024

Sparsity-Accelerated Training for Large Language Models

Da Ma, Lu Chen, Pengyu Wang +6

Large language models (LLMs) have demonstrated proficiency across various natural language processing (NLP) tasks but often require additional training, such as continual pre-train…