activity
20212024
most citedDeveloping ChemDFM as a large language foundation model for chemistry

36 citations · 55 across the 12 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024★ 2 cited

Reducing Tool Hallucination via Reliability Alignment

Hongshen Xu, Zichen Zhu, Lei Pan +6

Large Language Models (LLMs) have expanded their capabilities beyond language generation to interact with external tools, enabling automation and real-world applications. However,…

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★ 3 cited

SciDFM: A Large Language Model with Mixture-of-Experts for Science

Liangtai Sun, Danyu Luo, Da Ma +7

Recently, there has been a significant upsurge of interest in leveraging large language models (LLMs) to assist scientific discovery. However, most LLMs only focus on general scien…

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…

cs.CL2024

A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames

Hongshen Xu, Ruisheng Cao, Su Zhu +4

Previous work on spoken language understanding (SLU) mainly focuses on single-intent settings, where each input utterance merely contains one user intent. This configuration signif…

cs.CL2024★ 36 cited

Developing ChemDFM as a large language foundation model for chemistry

Zihan Zhao, Da Ma, Lu Chen +11

Artificial intelligence (AI) has played an increasingly important role in chemical research. However, most models currently used in chemistry are specialist models that require tra…