most citedFIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights

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

collaborators

6 papers

cs.AI20261 cited

FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights

Zhen Wang, Fan Bai, Zhongyan Luo +9

Autonomous agents powered by large language models (LLMs) promise to accelerate scientific discovery end-to-end, but rigorously evaluating their capacity for verifiable discovery r…

cs.CL2026

Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering

Jieyuan Liu, Jianyang Gu, Shijie Chen +2

Knowledge-based visual question answering (KB-VQA) lets vision-language systems answer questions that exceed their parametric knowledge by conditioning a reader on passages retriev…

cs.CL2026

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery

Enze Ma, Yufan Zhou, Wei-Chieh Huang +7

Long-term memory promises LLM agents that grow more capable across sessions, maintaining an accurate, evolving understanding of the user that interaction forms. In practice, howeve…

cs.CR2026

DEFENGRAPH: Knowledge Graph-Enhanced LLMs for Blue Team Cyber Defense

Zhen Wang, Kristen Moore, Qin Wang +7

Large Language Models (LLMs) show promise for supporting decision-making in cybersecurity, but their reliability in high-stakes, time-evolving environments remains limited due to h…

q-bio.GN2026

CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis

Zhen Wang, Yiming Gao, Jieyuan Liu +10

Single-cell RNA-seq (scRNA-seq) enables atlas-scale profiling of complex tissues, revealing rare lineages and transient states. Yet, assigning biologically valid cell identities re…

cs.AI2026

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery

Yiming Gao, Zhen Wang, Jefferson Chen +8

We present scPilot, the first systematic framework to practice omics-native reasoning: a large language model (LLM) converses in natural language while directly inspecting single-c…