5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Cost-Aware Diffusion Draft Trees for Speculative Decoding
Shuai Zhang, Huachuan Qiu, Hongliang He +1
Speculative decoding accelerates inference by having a lightweight drafter propose tokens verified in parallel by the target language model. Block diffusion drafters such as DFlash…
cs.CL2024★ 5 cited
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Hongliang He, Wenlin Yao, Kaixin Ma +5
The rapid advancement of large language models (LLMs) has led to a new era marked by the development of autonomous applications in real-world scenarios, which drives innovation in…
cs.CL2023★ 2 cited
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs
Shuyi Xie, Wenlin Yao, Yong Dai +11
Large language models (LLMs) have shown impressive capabilities across various natural language tasks. However, evaluating their alignment with human preferences remains a challeng…