activity
20232026
most citedDeveloping ChemDFM as a large language foundation model for chemistry

36 citations · 69 across the 36 of their papers we have counts for

collaborators
Showing cs.AIShow all

10 papers · 1 filter

cs.AI2026

MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows

Mei Wu, Rui Xie, Runyu Zhang +6

Multimodal GUI agents have achieved impressive results on general software benchmarks, yet their ability to operate professional scientific software remains largely unexplored. In…

cs.AI2026

Towards High-Level Semantic Intelligence

Xiujie Song, Gefei Yang, Yining You +6

Recent advances in AI have substantially expanded its cognitive and reasoning capabilities. From the perspective of semantic complexity, the development of AI reveals a clear traje…

cs.AI2026

Making AI Scientists Auditable from Evidence to Claim

Zijian Wang, Hanqi Li, Ziyue Yang +17

AI research systems can report improved results without establishing that the tested implementation matches the method described in their conclusions. We introduce Xcientist, a res…

cs.AI2026

DeepSurvey: Agent-Oriented Automated Survey Generation with Analytical Depth and Citation Reliability

Ziyue Yang, Da Ma, Hanqi Li +8

As scientific literature grows rapidly and research increasingly involves AI agents, automated survey generation has become a key capability for both agents and human researchers.…

cs.AI2026

Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation

Zixuan Jiang, Yanqiao Zhu, Peng Wang +8

Automatic speech recognition (ASR) is a core component of human--computer interaction and an increasingly important front-end for LLM-based assistants and agents. However, most cur…

cs.AI2026

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding

Situo Zhang, Yifan Zhang, Zichen Zhu +6

Charts are ubiquitous in scientific and financial literature for presenting structured data. However, chart reasoning remains challenging for multimodal large language models (MLLM…

cs.AI2025

ProgRM: Build Better GUI Agents with Progress Rewards

Danyang Zhang, Situo Zhang, Ziyue Yang +5

LLM-based (Large Language Model) GUI (Graphical User Interface) agents can potentially reshape our daily lives significantly. However, current LLM-based GUI agents suffer from the…

cs.AI2024

AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures

Situo Zhang, Hankun Wang, Da Ma +4

Speculative Decoding (SD) is a popular lossless technique for accelerating the inference of Large Language Models (LLMs). We show that the decoding speed of SD frameworks with stat…

cs.AI2024★ 2 cited

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Ruisheng Cao, Fangyu Lei, Haoyuan Wu +20

Data science and engineering workflows often span multiple stages, from warehousing to orchestration, using tools like BigQuery, dbt, and Airbyte. As vision language models (VLMs)…

cs.AI2023★ 1 cited

Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

Danyang Zhang, Zhennan Shen, Rui Xie +8

The Graphical User Interface (GUI) is pivotal for human interaction with the digital world, enabling efficient device control and the completion of complex tasks. Recent progress i…