9.8k citations
- Chinese Academy of SciencesCN774 papers
- University of Chinese Academy of SciencesCN660 papers
- University of Science and Technology of ChinaCN646 papers
- Peking UniversityCN619 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT594 papers
- Centre National de la Recherche ScientifiqueFR584 papers
- Institute of High Energy PhysicsCN570 papers
- University of OxfordGB516 papers
- University of ManchesterGB483 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT480 papers
- Rutherford Appleton LaboratoryGB477 papers
- Massachusetts Institute of TechnologyUS475 papers
145 papers · 1 filter
From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models
Tao Wen, Shuai Shao, Pei Ke +7
Event analysis is an essential and fundamental direction of information extraction, involving various event-centric tasks at different granularity of documents. While large languag…
New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs
Shiyao Cui, QingLin Zhang, Di Wang +7
Neologisms, emerging terms in meaning or form, can serve as new vehicles for toxic expression, like "country girl" as a stigmatizing label targeting feminism. Such toxic neologisms…
CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning
Dingling Xu, Ruobing Wang, Qingfei Zhao +8
Reasoning Language Models (RLMs) have significantly improved performance on complex tasks by extending the reasoning chain. However, these chains are prone to containing factual er…
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…
Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs
Bo Li, Tianyu Dong, Shaolin Zhu +1
Large Language Models (LLMs) have shown great promise in multilingual machine translation (MT), even with limited bilingual supervision. However, fine-tuning LLMs with parallel cor…
NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
Jihao Dai, Dingjun Wu, Yuxuan Chen +4
Retrieval-augmented generation (RAG) typically relies on a flat retrieval paradigm that maps queries directly to static, isolated text segments. This approach struggles with more c…