mlsanityData to 14 Oct 2026

Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction

arXiv 2506.04409 ↗First posted 4 Jun 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

This paper describes EmoRAG, a system designed to detect perceived emotions in text for SemEval-2025 Task 11, Subtask A: Multi-label Emotion Detection. We focus on predicting the perceived emotions of the speaker from a given text snippet, labeling it with emotions such as joy, sadness, fear, anger, surprise, and disgust. Our approach does not require additional model training and only uses an ensemble of models to predict emotions. EmoRAG achieves results comparable to the best performing systems, while being more efficient, scalable, and easier to implement.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 13 references that are in the map. First posted on arXiv 4 Jun 2025.

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References · 7

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2024Qwen2 Technical Reportcited by 2,120
  3. 2024M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillationcited by 1,073
  4. 2025BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languagescited by 27
  5. 2024Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understandingcited by 17
  6. 2021PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Predictioncited by 7
  7. 2022Transformer based ensemble for emotion detectioncited by 1

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  1. 2025EEmo-Bench: A Benchmark for Multi-modal Large Language Models on Image Evoked Emotion Assessment
  2. 2024EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
  3. 2025E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model
  4. 2025EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
  5. 2025CHEER-Ekman: Fine-grained Embodied Emotion Classification
  6. 2026E3mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment
  7. 2024MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
  8. 2023Explainable Multimodal Emotion Recognition