7 papers
AISE-Bench: A Full-Cycle Curated Benchmark for Information Seeking on Academic Knowledge Graphs
Fanjin Zhang, Zhengyang Wang, Ruixuan Huang +7
Large language models (LLMs) augmented with tools are emerging as autonomous agents capable of using Web engine, APIs, and code to solve complex, long-horizon tasks. Current tool-u…
Cross-Source Reasoning-based Correction for Author Name Disambiguation
Fanjin Zhang, Yunhe Pang, Bo Chen +4
Author name disambiguation is a critical challenge in academic search systems, often addressed through from-scratch and real-time disambiguation approaches. However, current algori…
RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension
Yelin Chen, Fanjin Zhang, Suping Sun +8
Understanding research papers remains challenging for foundation models due to specialized scientific discourse and complex figures and tables, yet existing benchmarks offer limite…
GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model
Yunhe Pang, Bo Chen, Fanjin Zhang +3
Anomaly detection on text-rich graphs is widely prevalent in real life, such as detecting incorrectly assigned academic papers to authors and detecting bots in social networks. The…
Small Language Model Makes an Effective Long Text Extractor
Yelin Chen, Fanjin Zhang, Jie Tang
Named Entity Recognition (NER) is a fundamental problem in natural language processing (NLP). However, the task of extracting longer entity spans (e.g., awards) from extended texts…
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
Fanjin Zhang, Shijie Shi, Yifan Zhu +19
With the rapid proliferation of scientific literature, versatile academic knowledge services increasingly rely on comprehensive academic graph mining. Despite the availability of p…