Natural Language Processing and Chinese Computing : 14th National CCF Conference, NLPCC 2025, Urumqi, China, August 7-9, 2025, Proceedings, Part II (Lecture Notes in Computer Science)

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Natural Language Processing and Chinese Computing : 14th National CCF Conference, NLPCC 2025, Urumqi, China, August 7-9, 2025, Proceedings, Part II (Lecture Notes in Computer Science)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 510 p.
  • 言語 ENG
  • 商品コード 9789819533459

Full Description

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.

Contents

.- 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 language.
.- How Do Shared Experts Dynamically Adapt to Routing Constraints in Mixture-of-Experts?.
.- End-to-End VideoQA with Frame Scoring Mechanisms and Adaptive Sampling.
.- Visual Sketchbook: Enhancing Chart-to-Code Generation via Reflective Refinement.
.- Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models.
.- Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models.
.- NLP Applications / Text Mining.
.- Enhancing Coherence Measurement based on Rhetorical Structure Theory for AES Task.
.- Enhancing GPT-based Input Method with Domain-Adaptive Pinyin Encoder(s).
.- Improving Grammatical Error Correction with Dynamic Linguistic Knowledge Fusion.
.- SAGEC: Syntax-Aware Grammatical Error Correction with Retrieval-Augmented Generation.
.- DRA: A Dual Retrieval Architecture for Domain Chinese Spelling Check.
.- Label-Guided Self-Knowledge Distillation for Multi-class Text Classification.
.- MvDDI: A Multi-view Interaction Framework for Few-shot Drug-Drug Interaction.
.- MQA-SQL: Mitigating Question Ambiguity in Text-to-SQL with Multi-Model Collaboration and Multi-Variant Query Rephrasing.
.- Dialogue-Based Multi-Dimensional Relationship Extraction from Novels.
.- RAG-targeted SFT Improves RAG-enhanced Math Reasoning.
.- Linguistic Error-aware Data Augmentation for Lao Grammatical Error
Correction.
.- LyRE:Learning Varying Fusion Degrees with Hierarchical Aggregation to Improve Multimodal Misinformation Detection.
.- FTAF: Facilitating Fine-grained Toxic Language Detection via Text Rewriting and Relationship Chain Learning.
.- CLSurCoder: LLMs based Cross-Lingual Transfer Learning for Low-resource Language Surgical Records Coding.
.- CPO-SQL: Boosting Small LLMs for Text-to-SQL via Efficient In-Context Learning and Preference Optimization.
.- Structured Topic-Enhanced News Recommendation Method with Multi-View Learning.
.- Identity-Driven Hierarchical Role-Playing Agents.
.- MoSGCN: Aspect-based sentiment analysis via distance matrix and similarity graph.
.- Two Steps to Precision: Enhancing Reliable API Invocation in Code Generation.
.- FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios.
.- Open Bilingual Benchmark and Leaderboard for Large Language Models in Cybersecurity.
.- LLMA4ITOps: A Lightweight LLM-based Multi-Agent Framework for IT Operations and Maintenance.
.- Genre-Wise Graph Representations for Multi-Trait Essay Scoring.
.- Automatic Evaluating Scientific Reviews through Meta-Reviewer's Lens: A Reliable Benchmark for Peer Review Generation.
.- Control Extreme Multi-Label Generation via Level-Guided Token Filtering.
.- Astronomical Catalogue Recommendation Based on Graph Neural Networks.

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