Papers
A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes
Stefan F. Schouten, Ilia Markov, Piek Vossen
Emotion-aware text simplification of user generated content using LLMs
Anastasiia Bezobrazova, Daria Sokova, Constantin Orasan
Emotional Lexicons: How Large Language Models Predict Emotional Ratings of Russian Words
Polina V. Iaroshenko, Natalia V Loukachevitch
Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Model
Donya Rooein, Flor Miriam Plaza-del-Arco, Debora Nozza et al.
Appraisal Trajectories in Narratives Reveal Distinct Patterns of Emotion Evocation
Johannes Schäfer, Janne Wagner, Roman Klinger
The Impact of Highlighting Subjective Language on Perceived News Trustworthiness
Mohammad Shokri, Vivek Sharma, Emily Klapper et al.
Measuring LLMs’ Sensitivity to Paraphrased Opinion Prompts
Bushra Alhetelah, Irfan Ahmad
Predicting Convincingness in Political Speech: How Emotional Tone Shapes Persuasive Strength
Bhuvanesh Verma, Mounika Marreddy, Alexander Mehler
Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance
Serena Tardelli, Lorenzo Alvisi, Lorenzo Cima et al.
Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda
Vivek Sharma, Shweta Jain, Mohammad Shokri et al.
A Closed-Track System for Palestinian Arabic in the AMIYA Shared Task
Khaleel Hamad, Ahmad Al-Najjar
MBZUAI at AMIYA Shared Task 2026: Adapting Open-Source LLMs for Dialectal Arabic
Rana Gaber, Yara Allam, Serag Amin et al.
NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning
Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du et al.
SDNLP at AMIYA 2026: Syrian Arabic Dialect Modeling with LoRA
Hasan Alkhder, Mohammad Abboush
Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding
Abdulhai Alali, Abderrahmane Issam
Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation
Jonathan Mutal, Perla Al Almaoui, Simon Hengchen et al.
Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
Elisa Bassignana, Mike Zhang, Dirk Hovy et al.
Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts
Sanjh Maheshwari, Aniket Singh Rajpoot, Oana Cocarascu et al.
OpenLID-v3: Improving the Precision of Closely Related Language Identification – An Experience Report
Mariia Fedorova, Nikolay Arefyev, Maja Buljan et al.
Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
Ali Mekky, Mohamed El Zeftawy, Lara Hassan et al.
Syllable Structures Across Arabic Varieties
Abdelrahim Qaddoumi, Jordan Kodner, Salam Khalifa et al.
Regional Variation in the Performance of ASR Models on Croatian and Serbian
Tanja Samardžić, Peter Rupnik, Nikola Ljubešić