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20162025
most citedCONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval

2 citations · 8 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

Can Language Models Follow Multiple Turns of Entangled Instructions?

Chi Han, Xin Liu, Haodong Wang +12

Despite significant achievements in improving the instruction-following capabilities of large language models (LLMs), the ability to process multiple potentially entangled or confl…

cs.CL20231 cited

Ensemble Transfer Learning for Multilingual Coreference Resolution

Tuan Manh Lai, Heng Ji

Entity coreference resolution is an important research problem with many applications, including information extraction and question answering. Coreference resolution for English h…

cs.CL20222 cited

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval

Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji

Fact-checking has gained increasing attention due to the widespread of falsified information. Most fact-checking approaches focus on claims made in English only due to the data sca…

cs.CL20222 cited

Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs

Sha Li, Mahdi Namazifar, Di Jin +4

Providing conversation models with background knowledge has been shown to make open-domain dialogues more informative and engaging. Existing models treat knowledge selection as a s…

cs.CL20211 cited

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

Revanth Gangi Reddy, Xilin Rui, Manling Li +9

Recently, there has been an increasing interest in building question answering (QA) models that reason across multiple modalities, such as text and images. However, QA using images…

cs.CL20162 cited

Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment

Tao Ge, Qing Dou, Xiaoman Pan +5

Aligning coordinated text streams from multiple sources and multiple languages has opened many new research venues on cross-lingual knowledge discovery. In this paper we aim to adv…