1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
AM-Bench: Understanding Agents under Task Underspecification across Models and Harnesses
Kaiyu Huang, Yiting Li, Angyang Gu +3
Ambiguous or incomplete task specifications complicate both execution and clarification for language-model agents. Yet agents' responses to these information gaps remain poorly cha…
cs.AI2026
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
Kaiyu Huang, Xingyu Wang, Mingze Kong +6
In real-world deployments of large language models (LLMs), balancing inference quality and computational cost has become a central challenge. Existing approaches tackle this trade-…
cs.CL2025★ 1 cited
AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model Serving
Kaiyu Huang, Hao Wu, Zhubo Shi +3
Cloud-based Large Language Model (LLM) services often face challenges in achieving low inference latency and meeting Service Level Objectives (SLOs) under dynamic request patterns.…