The four-volume set LNAI 16102 - 16105 constitutes the refereed proceedings of the 14th CCF National Conference on Natural Language Processing and Chinese Computing, NLPCC 2025, held in Urumqi, China, during August 7–9, 2025.
The 152 full papers and 26 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 505 submissions. They were focused on the following topical sections:
Part I : Information Extraction and Knowledge Graph & Large Language Models and Agents.
Part II : Multimodality and Explainability & NLP Applications / Text Mining.
Part III : IR / Dialogue Systems / Question Answering; Machine Translation and Multilinguality & Sentiment analysis / Argumentation Mining / Social Media.
Part IV : Machine Learning for NLP; Fundamentals of NLP; Summarization and Generation; Others &
Evaluation Workshop.
.- Multimodality and Explainability.
.- DPIMerge: An Efficient Dynamic Parameter Interpolation Framework for Alleviating Pure Text Forgetting in Multimodal Large Models.
.- MRF: A Modality-Resilient Framework for Handling Missing Modalities in Multimodal Learning.
.- StoryBench: A Dataset for Diverse, Explainable, Multi-hop Narrative Text-to-Image Generation.
.- Mitigating Object Hallucination through Assembled Chain-of-Thought Reasoning.
.- DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming Capabilities.
.- Bi-directional Semantic Alignment for Large Vision Language Model Training via Echo-Former.
.- A Southeast Asian Language OCR Dataset and Evaluation for Large Multimodal Models.
.- DiagDiff: A Diagnosis-Aware Diffusion Model for Radiology Report Generation.
.- Fine-grained prosody-controllable Lao speech synthesis guided by natural lanl£$