765 citations · 905 across the 19 of their papers we have counts for
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Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
Guanting Dong, Rumei Li, Sirui Wang +3
Knowledge Base Question Answering (KBQA) aims to answer natural language questions with factual information such as entities and relations in KBs. However, traditional Pre-trained…
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Keheng Wang, Feiyu Duan, Sirui Wang +5
Equipped with Chain-of-Thought (CoT), Large language models (LLMs) have shown impressive reasoning ability in various downstream tasks. Even so, suffering from hallucinations and t…
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
Yuntao Li, Zhenpeng Su, Yutian Li +4
Translating natural language queries into SQLs in a seq2seq manner has attracted much attention recently. However, compared with abstract-syntactic-tree-based SQL generation, seq2s…
Dual Path Modeling for Semantic Matching by Perceiving Subtle Conflicts
Chao Xue, Di Liang, Sirui Wang +2
Transformer-based pre-trained models have achieved great improvements in semantic matching. However, existing models still suffer from insufficient ability to capture subtle differ…
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Yonghao Liu, Di Liang, Fang Fang +3
Knowledge graphs (KGs) have received increasing attention due to its wide applications on natural language processing. However, its use case on temporal question answering (QA) has…