6 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CL2026
SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning
Run Zou, Jianhang Ding, Yifan Ding +3
Instruction tuning has optimized the specialized capabilities of large language models (LLMs), but it often requires extensive datasets and prolonged training times. The challenge…
cs.CL2025★ 5 cited
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
Bo Zhang, Hui Ma, Dailin Li +4
Large language models (LLMs) demonstrate remarkable text comprehension and generation capabilities but often lack the ability to utilize up-to-date or domain-specific knowledge not…
cs.CL2024★ 6 cited
Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue Generation
Bo Zhang, Hui Ma, Jian Ding +3
Integrating multimodal knowledge into large language models (LLMs) represents a significant advancement in dialogue generation capabilities. However, the effective incorporation of…