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20242026
most citedFantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics

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cs.CL2026

FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding

Yingli Shen, Wen Lai, Jie Zhou +7

Large language models hallucinate factual claims and struggle to ground their outputs in retrievable evidence, particularly in non-English languages. Existing resources impose a tr…

cs.CL2025

ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement

Kangyang Luo, Yuzhuo Bai, Shuzheng Si +9

Coreference Resolution (CR) is a critical task in Natural Language Processing (NLP). Current research faces a key dilemma: whether to further explore the potential of supervised ne…

cs.CL2025

On LLM-Based Scientific Inductive Reasoning Beyond Equations

Brian S. Lin, Jiaxin Yuan, Zihan Zhou +8

As large language models (LLMs) increasingly exhibit human-like capabilities, a fundamental question emerges: How can we enable LLMs to learn the underlying patterns from limited e…

cs.CL2025

DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection

Yingli Shen, Wen Lai, Shuo Wang +4

The rapid development of multilingual large language models (LLMs) highlights the need for high-quality, diverse, and well-curated multilingual datasets. In this paper, we introduc…

cs.CL2025

GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion

Kangyang Luo, Yuzhuo Bai, Cheng Gao +11

Knowledge Graph Completion (KGC), which aims to infer missing or incomplete facts, is a crucial task for KGs. However, integrating the vital structural information of KGs into Larg…

cs.CL2025

From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs

Zhu Liu, Ying Liu, KangYang Luo +2

Lexico-semantic networks represent words as nodes and their semantic relatedness as edges. While such networks are traditionally constructed using embeddings from encoder-based mod…

cs.CL2024

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation

Xinkai Du, Quanjie Han, Chao Lv +5

Open-domain Question Answering (QA) has garnered substantial interest by combining the advantages of faithfully retrieved passages and relevant passages generated through Large Lan…

cs.CL2024

A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs

Zhu Liu, Cunliang Kong, Ying Liu +1

Semantic map models (SMMs) construct a network-like conceptual space from cross-linguistic instances or forms, based on the connectivity hypothesis. This approach has been widely u…

cs.CL2024★ 1 cited

Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics

Zhu Liu, Cunliang Kong, Ying Liu +1

Large language models have achieved remarkable success in general language understanding tasks. However, as a family of generative methods with the objective of next token predicti…

cs.CL2024

Cross-domain Chinese Sentence Pattern Parsing

Jingsi Yu, Cunliang Kong, Liner Yang +6

Sentence Pattern Structure (SPS) parsing is a syntactic analysis method primarily employed in language teaching.Existing SPS parsers rely heavily on textbook corpora for training,…