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.CL2025
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…
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…