System Report for CCL25-Eval Task 5: Data Augmentation and Large Language Model Fine Tuning for Chinese Ancient Poetry Comprehension and Inference

SINAI at HISEMOTIONS in IberLEF 2026: Three-Phase Fine-Tuning of a Domain-Adaptive BERT for Historical Emotion Detection

Vidyashilp_Tech_Explorers@CC-MMD 2026: Cross-Cultural Misogynistic Meme Detection using Multimodal Large Language Models

Automated detection of misogynistic content in memes presents a unique challenge at the intersection of multimodal reasoning, multilingual understanding and cultural subjectivity. We present our submission to the CC-MMD 2026 Cross-Cultural Multimodal Misogyny Detection Grand Challenge, which requires simultaneous predi...

NPRIP: Nucleus-to-Periphery Retrieval-Iterative Prompting for Improved Abstractive Summarization in Low-Resource Mongolian

Experiments on traditional Mongolian text summarization tasks demonstrate that the proposed Nucleus-to-Periphery Retrieval-Iterative Prompting method significantly out-performs multiple baseline models on automatic evaluation metrics including ROUGE-1, ROUGE-2, and ROUGE-L.

UCO-UC-CICESE-Plenitas Team at Exploring the Historical Text-Based Emotion Detection in Early Modern Spanish Correspondence Using Large Language Model and Embeddings

JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis

The scholarly exegesis of ancient Chinese characters demands integrating visual observation, linguistic analysis, and historical context. However, existing computational approaches focus narrowly on subtasks such as character recognition and retrieval, lacking the structured datasets and benchmarks required for compreh...

Design and Implementation of a Scalable AI-Based Semantic Evaluation System for Hindi Text Using Transformer Models

This study proposes an automated evaluation framework with intelligent rule-based linguistic preprocessing and transformer-based deep learning that will enable scalable, consistent and repeatable assessment in Hindi.