3 papers
cs.CL2026
LENS: In-Context Search via Latent Evidence Exploration over Dynamic Raw Documents
Xingjun Wang, Gongsheng Li, Qi Fan +3
LLM agents increasingly answer questions over dynamic raw-document collections, where files may change before preprocessing, and relevant evidence (spans, sections, pages, or table…
cs.CL2024
Minimum Tuning to Unlock Long Output from LLMs with High Quality Data as the Key
Yingda Chen, Xingjun Wang, Jintao Huang +3
As large language models rapidly evolve to support longer context, there is a notable disparity in their capability to generate output at greater lengths. Recent study suggests tha…
cs.CL2024
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
Yuze Zhao, Jintao Huang, Jinghan Hu +10
Recent development in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have leverage Attention-based Transformer architectures and achieved superior perfo…