8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement
Xiaofeng Zhou, Heyan Huang, Lizi Liao
Large Language Models (LLMs) continue to set new standards in knowledge-intensive and complex reasoning tasks, yet their high computational demands limit widespread adoption. While…
cs.LG2025★ 8 cited
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
Shuai Zhao, Heyan Huang, Xinge Li +2
Neural networks have demonstrated exceptional performance in supervised learning, benefiting from abundant high-quality annotated data. However, obtaining such data in real-world s…
cs.CL2024
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation Benchmark
Rong-Cheng Tu, Zi-Ao Ma, Tian Lan +3
Driven by the remarkable progress in diffusion models, text-to-image generation has made significant strides, creating a pressing demand for automatic quality evaluation of generat…