mlsanityData to 14 Oct 2026

LLaMA-Based Models for Aspect-Based Sentiment Analysis

arXiv 2508.08649 ↗First posted 12 Aug 2025cs.CLcited by 3

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Abstract (arXiv)

While large language models (LLMs) show promise for various tasks, their performance in compound aspect-based sentiment analysis (ABSA) tasks lags behind fine-tuned models. However, the potential of LLMs fine-tuned for ABSA remains unexplored. This paper examines the capabilities of open-source LLMs fine-tuned for ABSA, focusing on LLaMA-based models. We evaluate the performance across four tasks and eight English datasets, finding that the fine-tuned Orca~2 model surpasses state-of-the-art results in all tasks. However, all models struggle in zero-shot and few-shot scenarios compared to fully fine-tuned ones. Additionally, we conduct error analysis to identify challenges faced by fine-tuned models.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 14 of its 30 references that are in the map. First posted on arXiv 12 Aug 2025.

Builds on

14 of 30 references.

References · 14

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
  4. 2021Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivitycited by 1,135
  5. 2021True Few-Shot Learning with Language Modelscited by 344
  6. 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 268
  7. 2023Orca 2: Teaching Small Language Models How to Reasoncited by 159
  8. 2019Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysiscited by 123
  9. 2021Aspect Sentiment Quad Prediction as Paraphrase Generationcited by 100
  10. 2020Position-Aware Tagging for Aspect Sentiment Triplet Extractioncited by 91
  11. 2019An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysiscited by 52
  12. 2023MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Predictioncited by 50
2 more
  1. 2022Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentationcited by 30
  2. 2023Large language models for aspect-based sentiment analysiscited by 17

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Citing papers per year: 2025: 3.

3 papers.