works on

From the 1 of 5 papers with an AI index.

most citedUtilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs

17 citations

5 papers

cs.IR2026

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise

Yuejie Li, Ke Yang, Yueying Hua +4

The paper introduces SQuTR, a benchmark dataset and evaluation protocol for testing how well spoken query‑to‑text retrieval systems perform under various levels of real‑world acous…

cs.CL2026

Building a Multimodal Dataset of Academic Paper for Keyword Extraction

Jingyu Zhang, Xinyi Yan, Yi Xiang +2

Up to this point, keyword extraction task typically relies solely on textual data. Neglecting visual details and audio features from image and audio modalities leads to deficiencie…

cs.CL202617 cited

Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs

Xinyi Yan, Yingyi Zhang, Chengzhi Zhang

Microblogging platforms generate massive amounts of short, noisy, and dispersed user content, making automatic keyphrase extraction (AKE) an important but challenging task. Prior s…

cs.CL20264 cited

Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization

Yingyi Zhang, Chengzhi Zhang

Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods.…

cond-mat.stat-mech2026

Effective Bethe Ansatz for Spin-1 Non-integrable Models

Zhuohang Wang, Rui-Dong Zhu

This work presents a comprehensive benchmark and validation of a recently proposed method called Effective Bethe Ansatz (EBA). It is a variational method that deforms the exact Bet…