Description
Book Synopsis.- Machine Learning for NLP
.- HandDiff-GAN: Handwriting Diffusion-Enhanced Generative Adversarial Networks for Character Generation.
.- Multi-Event Temporal Relation Extraction by Ranking.
.- Very-Long-Distance Dependency Capturing Evaluation via Language Modeling based on Gender Consistency.
.- InfoKANCSE: Enhancing Contrastive Sentence Embeddings with KAN and Information-Aware Aggregation.
.- Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models.
.- FedETE: Privacy-preserving Federated Event Trigger Extraction.
.- Fundamentals of NLP
.- Parallel Task Planning via Model Collaboration.
.- SageRep: Enhancing Unsupervised Sentence Representations via Layer-Adaptive Self-Knowledge Distillation.
.- Improving Cross-Document Event Coreference Resolution with Word Sense Disambiguation and Large Language Models.
.- Summarization and Generation
.- FactoScalpel: Locating and Injecting Knowledge in Transformer to Enhance Factual Consistency in Abstractive Summarization.
.- Emoji-Stega: An Emoji-Powered Linguistic Steganography Framework for Social Networks.
.- Knowledge-enhanced Text Summaries for Factual Problems.
.- DiSG: A Discourse Structure-aware Multi-Stage Approach for Long Tibetan Text Summarization.
.- Detecting and Correcting Hallucinations in LLMs via Substantive Uncertainty and Iterative Validation.
.- Others
.- Directional asymmetry in the perception of Mandarin Chinese vowels by native English speakers.
.- Thoughts Behind Attack: Enhancing Security Against Jailbreak Attacks Using Chain-of-Thought.
.- Unlocking the Power of Large Language Models for Multi-Table Entity Matching.
.- Mongolian Speech Recognition Based on Semi-Supervised Learning and Syllable Subword Modeling Units.
.- CEBFL: A Cost-Effectiveness-Based Approach to Defending Against Gradient Attack in Federated Learning.
.- IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval base on Semantic Comprehension in Retrieval-Augmented Generation Scenarios.
.- Evaluation Workshop
.- Overview of the NLPCC 2025 Shared Task 1: LLM-Generated Text Detection.
.- When Less is More: Minimal Prompts with LoRA for LLM Text Detection.
.- EnsemJudge: Enhancing Reliability in Chinese LLM-Generated Text Detection through Diverse Model Ensembles.
.- LOW-COST-AI-DETECTOR: An Efficient and Cost-Effective LLM-Generated Chinese Text Detection Model for NLPCC2025 Shared-Task 1.
.- Overview of the NLPCC 2025 Shared Task2: Evaluation of Essay On-Topic Graded Comments(EOTGC).
.- Optimizing Automated Essay On-Topic Graded Comments via LLM-Based Prompt Augmentation.
.- Decomposing Topic Relevance: A Multi-Agent LLM Approach for Automated Essay Scoring and Feedback.
.- Overview of the NLPCC 2025 Shared Task 3: Comprehensive Argument Analysis for Chinese Argumentative Essay.
.- Knowledge-Enhanced and Event-Rule Guided Framework for Fine-Grained Argument Mining in Chinese Essays.
.- Comprehensive Argument Mining for Chinese Argumentative Essays Using Large Language Models.
.- Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, Multi-hop Medical Instructional Video Question Answering Challenge.
.- Multi-hop Knowledge-enhanced Query Reasoning for Multi-modal Medical Video QA.
.- Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval.
.- Hierarchical RAG-driven Multi-hop Reasoning for Medical Video Question Answering.
.- Overview of NLPCC 2025 Shared Task 5: Chinese Government Text Correction with Knowledge Bases.
.- CGT-Corrector:Chinese Government Text Correction with Knowledge Bases.
.- KARTC: Knowledge-Aware Rewriting with Large Language Models for Chinese Government Text Correction.
.- Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge.
.- From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing.
.- Qwen-Gender: A Chain-of-Thought Based Multi-Task Gender Bias Mitigation System.
.- Detection, Classification, Mitigation of Gender Bias in Large Language Models.
.- Overview of the NLPCC 2025 Shared Task 8: Personalized Emotional Support Conversation.
.- Optimizing LLMs for Personalized Emotional Support with Future Cues and Response Diversity.
.- Empathetic Dialogue Generation with LLMs for Emotional Support.
.- Role-Guided Synthesis for Emotional Support: A Two-Stage Framework with Multi-Agent Dialogue Synthesis.
