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cs.CL2026
Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering
Yang Hong, Yajun Yang, Xin Wang +2
Large language models (LLMs) have demonstrated strong capabilities in question answering, yet they still frequently suffer from hallucinations on knowledge-intensive tasks. Knowled…
cs.CL2024
A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction
Mingyang Song, Yi Feng, Liping Jing
Pre-trained large language models can perform natural language processing downstream tasks by conditioning on human-designed prompts. However, a prompt-based approach often require…
cs.CL2024★ 4 cited
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
Mingyang Song, Xuelian Geng, Songfang Yao +3
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved. Ch…