most citedUnderstanding and Optimizing Agentic Workflows via Shapley value

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks

Zhanke Zhou, Zongze Li, Weikai Huang +16

Agents pair reasoning models with harnesses that organize model calls, execute tools, load skill instructions, and retain history in memory. Understanding agent performance require…

cs.AI2025

SciAgent: A Unified Multi-Agent System for Generalistic Scientific Reasoning

Xuchen Li, Ruitao Wu, Xuanbo Liu +17

Recent advances in large language models have enabled AI systems to achieve expert-level performance on domain-specific scientific tasks, yet these systems remain narrow and handcr…

cs.AI2025

MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

Xukai Wang, Xuanbo Liu, Mingrui Chen +16

With the advancement of powerful large-scale reasoning models, effectively evaluating the reasoning capabilities of these models has become increasingly important. However, existin…

cs.CV2025

Radial Attention: Sparse Attention with Energy Decay for Long Video Generation

Xingyang Li, Muyang Li, Tianle Cai +11

Recent advances in diffusion models have enabled high-quality video generation, but the additional temporal dimension significantly increases computational costs, making training a…

cs.AI2025★ 1 cited

Understanding and Optimizing Agentic Workflows via Shapley value

Yingxuan Yang, Bo Huang, Siyuan Qi +14

Agentic workflows have become the dominant paradigm for building complex AI systems, orchestrating specialized components, such as planning, reasoning, action execution, and reflec…