1 citations · 1 across the 6 of their papers we have counts for
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RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biases
Yingqian Wu, Jingcong Liang, Siyuan Wang +4
Large language models (LLMs) increasingly act as research agents, yet their ability to track shifts in research attention is difficult to evaluate because reviews and research idea…
SciTrue: Reliable Scientific Claim Validation with Frontier and Open Language Models at the NTCIR SciClaimEval Task
Qiming Bao, Neşet Özkan Tan, Siyuan Wang +1
We describe the SciTrue team's participation in both subtasks of the NTCIR-19 SciClaimEval task~\cite{sciclaimeval}, which asks systems to verify scientific claims against the tabl…
AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery
Yuqi Yin, Yibo Fu, Siyuan Wang +8
The discovery of novel Ionic Liquids (ILs) is hindered by critical challenges in property prediction, including limited data, poor model accuracy, and fragmented workflows. Leverag…
LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification
Siyuan Wang, James R. Foulds, Md Osman Gani +1
In this paper, we introduce CIBER (Claim Investigation Based on Evidence Retrieval), an extension of the Retrieval-Augmented Generation (RAG) framework designed to identify corrobo…