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

36 citations · 62 across the 32 of their papers we have counts for

collaborators
Showing 2026 · cs.AIShow all

6 papers · 2 filters

cs.AI2026

ARGUS: An Agenda-Driven Framework for Reliable User Simulation

Hang Zheng, Nan Jiang, Zichen Zhu +6

High-fidelity user simulators are essential for evaluating and training agents in interactive environments. However, current LLM-based simulators struggle with reliability issues,…

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

OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields

Wanhao Liu, Jiaqing Xie, Qian Tan +10

As multimodal language models play an increasingly important role in scientific research, materials science offers a critical testbed due to its interdisciplinary, multimodal, and…

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

Diagnosing CFG Interpretation in LLMs

Hanqi Li, Lu Chen, Kai Yu

As LLMs are increasingly integrated into agentic systems, they must adhere to dynamically defined, machine-interpretable interfaces. We evaluate LLMs as in-context interpreters: gi…

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…