activity
20242026
most citedGTA: A Benchmark for General Tool Agents

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

SymbolLKG: Towards Verifiable Logical Reasoning via Logical Knowledge Graph and Symbolic Solvers

Haizhao Fan, Yuchi Xiong, Jize Wang +2

Large Language Models (LLMs) have demonstrated remarkable proficiency in natural language understanding, yet they struggle with strict multi-step reasoning, frequently suffering fr…

cs.CL2026

GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows

Jize Wang, Xuanxuan Liu, Yining Li +7

The development of general-purpose agents requires a shift from executing simple instructions to completing complex, real-world productivity workflows. However, current tool-use be…

cs.AI2026

RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents

Jize Wang, Han Wu, Zhiyuan You +9

Mixture-of-Agents (MoA) improves LLM performance through layered collaboration, but its dense topology raises costs and latency. Existing methods employ LLM judges to filter respon…

cs.CL2025

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

Shaobo Wang, Xiangqi Jin, Ziming Wang +8

Fine-tuning large language models (LLMs) on task-specific data is essential for their effective deployment. As dataset sizes grow, efficiently selecting optimal subsets for trainin…

cs.CL2024

SAIL: Sample-Centric In-Context Learning for Document Information Extraction

Jinyu Zhang, Zhiyuan You, Jize Wang +1

Document Information Extraction (DIE) aims to extract structured information from Visually Rich Documents (VRDs). Previous full-training approaches have demonstrated strong perform…

cs.CL2024★ 2 cited

GTA: A Benchmark for General Tool Agents

Jize Wang, Zerun Ma, Yining Li +4

Significant focus has been placed on integrating large language models (LLMs) with various tools in developing general-purpose agents. This poses a challenge to LLMs' tool-use capa…

cs.HC2024

A Study on Cognitive Effects of Canvas Size for Augmenting Drawing Skill

Jize Wang, Kazuhisa Nakano, Daiyannan Chen +4

In recent years, the field of generative artificial intelligence, particularly in the domain of image generation, has exerted a profound influence on society. Despite the capabilit…