activity
20192026
most citedDeveloping ChemDFM as a large language foundation model for chemistry

36 citations · 60 across the 19 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

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

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.CL2026

PACER: Blockwise Pre-verification for Speculative Decoding with Adaptive Length

Situo Zhang, Yifan Zhang, Zichen Zhu +5

Speculative decoding (SD) is a powerful technique for accelerating the inference process of large language models (LLMs) without sacrificing accuracy. Typically, SD employs a small…

cs.LG2026

PaperGuide: Making Small Language-Model Paper-Reading Agents More Efficient

Zijian Wang, Tiancheng Huang, Hanqi Li +3

The accelerating growth of the scientific literature makes it increasingly difficult for researchers to track new advances through manual reading alone. Recent progress in large la…