Chinese Computational Linguistics
Springer Verlag, Singapore
978-981-95-2724-3 (ISBN)
The book refers a review of the key topics in Large Language Models, Machine Translation and Multilingual Information Processing, Text Generation, Dialogue and Summarization, Information Retrieval, Text Classification, QA, Language Resource and Evaluation, NLP Applications, ACL ARR Fast Track.
NLP Applications
.-Self-Supervised Contrastive Learning for Content-Centric Speech Representation.
.-A Chunk-based Chain of Thought Prompting Method for Mitigating Over-Correction in Chinese Grammatical Error Correction.
.- Linguistic Differences between AI and Human Comments in Weibo: Detect AI-Generated Text through Stylometric Features.
.- Fine-tuning GEC Model Based on Language Family Corpus.
.- Statistically Optimized SGNS Model: Enhancing Word Vector Representation with Global Semantic Weight.
.- HFSD-V2C: Zero-Shot Visual Voice Cloning Via Hierarchical Face-Styled Diffusion Model.
.- CRAF:Cross-Modal Representation Alignment and Fusion for Speech Translation.
.- Lao-English Code-Switched Speech Synthesis Via Neural Codec Language Modeling.
.- UMAD: Enhancing LLM Debiasing via Multi-Agent Debate and Token-Level Bias Interpretation.
.- Instruction-Driven In-Context Learning for Domain-Specific Chinese Spelling Correction.
.- DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation.
Large Language Models
.- RankLLM: A multi-criteria decision-making method for LLM performance evaluation in sentiment analysis.
.- MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models.
.- Improving Abstract Reasoning Ability of Large Language Models through Mixture Program-based Data Synthesis.
.- RJAG: Retrieval Judgment Augmented Generation.
.- Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models.
Language Resource and Evaluation
.- Unveiling the Linguistic Acceptability Judgments of Large Language Models in Multilingual Contexts.
.- MASP: A Multilingual Dataset for Probing Scalar Modifier Understanding in LLMs.
Text Generation, Dialogue and Summarization
.- Self-Preference: An Automated Method for Preference-Aligned Data Constructed from Business Metrics.
.- TAG: Dialogue Summarization Based on Topic Segmentation and Graph Structures.
.- Enabling Real-Time Conversations with Minimal Training Costs.
Information Retrieval, Text Classification and QA
.- EDGE: Enhanced Debiased Gradient Extraction for Robust Fine-tuning.
.- BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking.
ACL ARR Fast Track
.- Cross-modal Ambiguity Learning with Heterogeneous Interaction Analysis For Rumor Detection.
.- Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.
.- DSMR-SQL: Enhancing Text-to-SQL with Dual-Strategy SQL Generation and Multi-Role SQL Selection.
Machine Translation and Multilingual Information Processing
.- Quality-aware Neural Machine Translation with Self-evaluation.
| Erscheinungsdatum | 01.11.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | 146 Illustrations, color; 11 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Artificial Intelligence • Computational Linguistics • Evaluation • information extraction • Information Retrieval • Knowledge graph • Language resources • Large Language Models • Lexical Semantics • machine learning • Machine Translation • Natural Language Processing • QA • sentiment analysis • Social Media • Web mining |
| ISBN-10 | 981-95-2724-4 / 9819527244 |
| ISBN-13 | 978-981-95-2724-3 / 9789819527243 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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