mlsanityData to 7 Oct 2026

System Report for CCL25-Eval Task 10: SRAG-MAV for Fine-Grained Chinese Hate Speech Recognition

arXiv 2507.18580 ↗First posted 24 Jul 2025cs.CLcited by 2

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Abstract (arXiv)

This paper presents our system for CCL25-Eval Task 10, addressing Fine-Grained Chinese Hate Speech Recognition (FGCHSR). We propose a novel SRAG-MAV framework that synergistically integrates task reformulation(TR), Self-Retrieval-Augmented Generation (SRAG), and Multi-Round Accumulative Voting (MAV). Our method reformulates the quadruplet extraction task into triplet extraction, uses dynamic retrieval from the training set to create contextual prompts, and applies multi-round inference with voting to improve output stability and performance. Our system, based on the Qwen2.5-7B model, achieves a Hard Score of 26.66, a Soft Score of 48.35, and an Average Score of 37.505 on the STATE ToxiCN dataset, significantly outperforming baselines such as GPT-4o (Average Score 15.63) and fine-tuned Qwen2.5-7B (Average Score 35.365). The code is available at https://github.com/king-wang123/CCL25-SRAG-MAV.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 24 Jul 2025.

Builds on

16 of 22 references.

References · 16

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
  3. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  4. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 724
  5. 2023In-Context Retrieval-Augmented Language Modelscited by 694
  6. 2023C-Pack: Packed Resources For General Chinese Embeddingscited by 556
  7. 2020HateXplain: A Benchmark Dataset for Explainable Hate Speech Detectioncited by 403
  8. 2019Exploring Hate Speech Detection in Multimodal Publicationscited by 103
  9. 2020Toxicity Detection: Does Context Really Matter?cited by 93
  10. 2021Towards generalisable hate speech detection: a review on obstacles and solutionscited by 66
  11. 2022Large-Scale Hate Speech Detection with Cross-Domain Transfercited by 39
  12. 2020Detecting Hate Speech in Multi-modal Memescited by 38
4 more
  1. 2025Parallel Scaling Law for Language Modelscited by 29
  2. 2023A Two-Stage Adaptation of Large Language Models for Text Rankingcited by 17
  3. 2021A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Fillingcited by 16
  4. 2025STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detectioncited by 9

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Citing papers per year: 2026: 2.

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  1. 2025MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking Perturbations
  2. 2026LLMs-Integrated Automatic Hate Speech Recognition Using Controllable Text Generation Models
  3. 2024Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models
  4. 2022ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
  5. 2022Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification
  6. 2026MemeScouts@LT-EDI 2026: Asking the Right Questions -- Prompted Weak Supervision for Meme Hate Speech Detection
  7. 2026VARM-Bench: Benchmarking Verifiable Structured Reasoning in Chinese Abusive Speech Moderation
  8. 2026X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework