most citedA Survey of Data Agents: Emerging Paradigm or Overstated Hype?

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

collaborators

6 papers

cs.AI2026

MassAlloc Attention: Let Attention Allocate Its Own Compute

Jingze Shi, Zhangyang Peng, Xianduo Li +6

FullAttn often assigns negligible normalized mass to much of the causal score space, yet dense kernels execute the complete post-score path after forming each QK tile. We introduce…

cs.AI2026

CoWindow Attention: Full Causal Coverage Is a Collective Property

Jingze Shi, Zhangyang Peng, Xianduo Li +6

FullAttn repeatedly exposes the complete causal history to every attention head, creating substantial redundant computation and memory traffic even with IO-efficient dense kernels.…

cs.AI2026

DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces

Boyan Li, Zhuowen Liang, Yupeng Xie +11

Data agents enable natural-language analytics over organizational workspaces, where relevant evidence may be scattered across databases, structured files, long documents, and multi…

cs.DB2026

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration

Yizhang Zhu, Zhangyang Peng, Boyan Li +1

Text-to-SQL enables users to access relational databases via natural language, but real-world settings remain challenging due to coordinated reasoning over complex database environ…

cs.CL2026

OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale

Jingze Shi, Zhangyang Peng, Yizhang Zhu +3

Mixture-of-Experts (MoE) architectures are evolving towards finer granularity to improve parameter efficiency. However, existing MoE designs face an inherent trade-off between the…

cs.DB2025★ 1 cited

A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

Yizhang Zhu, Liangwei Wang, Chenyu Yang +22

The rapid advancement of large language models (LLMs) has spurred the emergence of data agents, autonomous systems designed to orchestrate Data + AI ecosystems for tackling complex…