105 citations · 238 across the 9 of their papers we have counts for
9 papers
Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing
Kunfeng Lai, Zhenheng Tang, Xinglin Pan +7
Model merging aggregates Large Language Models (LLMs) finetuned on different tasks into a stronger one. However, parameter conflicts between models leads to performance degradation…
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
Yiying Yang, Xi Yin, Haiqin Yang +5
Entity synonyms discovery is crucial for entity-leveraging applications. However, existing studies suffer from several critical issues: (1) the input mentions may be out-of-vocabul…
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks
Hao Peng, Jianxin Li, Qiran Gong +4
Events are happening in real-world and real-time, which can be planned and organized occasions involving multiple people and objects. Social media platforms publish a lot of text m…
A User-Centered Concept Mining System for Query and Document Understanding at Tencent
Bang Liu, Weidong Guo, Di Niu +5
Concepts embody the knowledge of the world and facilitate the cognitive processes of human beings. Mining concepts from web documents and constructing the corresponding taxonomy ar…
Multiresolution Graph Attention Networks for Relevance Matching
Ting Zhang, Bang Liu, Di Niu +2
A large number of deep learning models have been proposed for the text matching problem, which is at the core of various typical natural language processing (NLP) tasks. However, e…
Learning to Generate Questions by Learning What not to Generate
Bang Liu, Mingjun Zhao, Di Niu +4
Automatic question generation is an important technique that can improve the training of question answering, help chatbots to start or continue a conversation with humans, and prov…
Growing Story Forest Online from Massive Breaking News
Bang Liu, Di Niu, Kunfeng Lai +2
We describe our experience of implementing a news content organization system at Tencent that discovers events from vast streams of breaking news and evolves news story structures…
Matching Natural Language Sentences with Hierarchical Sentence Factorization
Bang Liu, Ting Zhang, Fred X. Han +3
Semantic matching of natural language sentences or identifying the relationship between two sentences is a core research problem underlying many natural language tasks. Depending o…
Matching Article Pairs with Graphical Decomposition and Convolutions
Bang Liu, Di Niu, Haojie Wei +4
Identifying the relationship between two articles, e.g., whether two articles published from different sources describe the same breaking news, is critical to many document underst…