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| Link zu diesem Datensatz | https://d-nb.info/1382337086 |
| Titel | Natural Language Processing and Chinese Computing : 14th National CCF Conference, NLPCC 2025, Urumqi, China, August 7–9, 2025, Proceedings, Part I / edited by Xian-Ling Mao, Zhaochun Ren, Muyun Yang |
| Person(en) |
Mao, Xian-Ling (Herausgeber) Ren, Zhaochun (Herausgeber) Yang, Muyun (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XXXI, 609 p. 186 illus., 169 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-95-3342-8 Printed edition:: ISBN: 978-981-95-3344-2 |
| Inhalt | -- Information Extraction and Knowledge Graph. -- Progressive Training of Transformer for Knowledge Graph Completion Tasks. -- Document-level Event Coreference Resolution on Trigger Augmentation and Contrastive Learning. -- Dynamic Chain-of-thought for Low-Resource Event Extraction. -- On Sentence-level Non-adversarial Robustness of Chinese Named Entity Recognition with Large Language Models. -- Spatial Relation Classification on Supervised In-Context Learning. -- HGNN2KAN: Distilling hypergraph neural networks into KAN for efficient inference. -- Adapting Task-General ORE Systems for Extracting Open Relations between Fictional Characters in Chinese Novels. -- DRLF:Denoiser-Reinforcement Learning Framework for Entity Completion. -- Fashion-related Attribute Value Extraction with Visual Prompting. -- Discovering Latent Relationship for Temporal Knowledge Graph Reasoning. -- Logical Rule-Constrained Large Language Models for Document-Level Relation Extraction. -- An Adaptive Semantic-Aware Fusion Method for Multimodal Entity Linking. -- Retrieve, Interaction, Fusion: a Simple Approach in Ancient Chinese Named Entity Recognition. -- Reasoning-Guided Prompt Learning with Historical Knowledge Injection for Ancient Chinese Relation Extraction. -- MMD-TKGR: Multi-Agent Multi-Round Debate for Temporal Knowledge Graph Reasoning. -- AutoPRE: Discovering Concept Prerequisites with LLM Agents. -- Weakly-Supervised Generative Framework for Product Attribute Identification in Live-Streaming E-Commerce. -- Exploring Representation-Efficient Transfer Learning Approaches for Speech Recognition and Translation Using Pre-trained Speech Models. -- A Neighborhood Aggregation-based Knowledge Graph Reasoning Approach in Operations and Maintenance. -- CARE: Contextual Augmentation with Retrieval Enhancement for Relation Extraction in Large Language Models. -- RHDG: Retrieval-augmented Heuristics-driven Demonstration Generation for Document-Level Event Argument Extraction. -- Large Language Models and Agents. -- Beyond One-Size-Fits-All: Adaptive Fine-Tuning for LLMs Based on Data Inherent Heterogeneity. -- From Chain to Loop: Improving Reasoning Capability in Small Language Models via Loop-of-Thought. -- TaxBen: Benchmarking the Chinese Tax Knowledge of Large Language Models. -- Propagandistic Meme Detection via Large Language Model Distillation. -- Multi-Candidate Speculative Decoding. -- Debate-Driven Legal Reasoning: Disambiguating Confusing Charges through Multi-Agent Debate. -- A Human-Centered AI Agent Framework with Large Language Models for Academic Research Tasks. -- ReGA: Reasoning and Grounding Decoupled GUI Navigation Agents. -- PSYCHE: Practical Synthetic Math Data Evolution. -- MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction. -- Reward-Guided Many-Shot Jailbreaking. -- Self-Prompt Tuning: Enable Autonomous Role-Playing in LLMs. -- RASR: A Multi-Perspective RAG-based Strategy for Semantic Textual Similarity. -- H2HTALK: Evaluating Large Language Models as Emotional Companion. -- EvoP: Robust LLM Inference via Evolutionary Pruning. -- Large Language Model based Multi-Agent Learning for Mixed Cooperative-Competitive Environments. -- EduMate:LLM-Powered Detection of Student Learning Emotions and Efficacy in Semi-Structured Counseling. -- MAD-HD: Multi-Agent Debate-Driven Ungrounded Hallucination Detection. -- TIANWEN: A Comprehensive Benchmark for Evaluating LLMs in Chinese Classical Poetry Understanding and Reasoning. -- RKE-Coder: A LLMs-based Code Generation Framework with Algorithmic and Code Knowledge Integration. -- See Better, Say Better: Vision-Augmented Decoding for Mitigating Hallucinations in Large Vision-Language Models. -- Exploring Large Language Models for Grammar Error Explanation and Correction in Indonesian as a Low-Resource Language. -- Libra: Large Chinese-based Safeguard for AI Content. -- FADERec: Fine-grained Attribute Distillation Enhanced by Collaborative Fusion for LLM-based Recommendation. -- Improving RL Exploration for LLM Reasoning through Retrospective Replay |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2511230307505.580153271861 DOI: 10.1007/978-981-95-3343-5 |
| URL | https://doi.org/10.1007/978-981-95-3343-5 |
| ISBN/Einband/Preis | 978-981-95-3343-5 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Artificial Intelligence ; 16102 |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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