📰 workshop on Challenges in Processing South Asian Languages 2026: all accepted papers

33 papers · the most cited first · ← workshop on Challenges in Processing South Asian Languages 2026

1. A Feature-Fusion Ensemble Approach for Tamil Hate Speech DetectionSathasivam Nerujan, Kengatharaiyer Sarveswaranour summary
2. A Morphological Transducer for the Limbu LanguageAvyaya Singh, Jonathan N. Washingtonour summary
3. BNLI: A Linguistically-Refined Bengali Dataset for Natural Language Inference ↗Farah Binta Haque, Md Yasin, Shishir Saha et al.
4. Comparative Analysis of Tokenizers in Tamil Text Classification in Low Resource SettingsGokulan Sivakumaran, Randil Pushpananda, ERAD Bandaraour summary
5. Cross-Domain Evaluation of Transformer-Based Models for Punjabi Speech Emotion RecognitionFatima Tu Zahra, Kulsoom Asim, Sandesh Kumar et al.our summary
6. Cuet Yet Another Baseline@CHiPSAL LREC 2026: Shared Task on Multimodal Sentiment Understanding in Low-Resource Memes ↗Rotna Dipika Debnath, Shahrin Afroz Hoque Ruhi, Ayesha Labiba et al.
7. DR-RAG: Addressing Retrieval Misalignment in Low-Resource Urdu Question Answering ↗Saad Ahmad, Muhammad Hammad, Muhammad Zeeshan et al.
8. Development of Burushaski Speech - English Text Translation DatasetTauqeer Saleem, Abdul Samad, Azkaa Nasir et al.our summary
9. EthosAI@CHiPSAL2026: Hate and Sentiment Understanding in Low-Resource Memes Using a Multimodal Approach ↗Vinayak Bansal, Deepawali Sharma, Aakash Singh et al.
10. Evaluating Large Language Models for Medical Named Entity Recognition in Urdu: A Benchmark StudyBushra Nasim, Kinza Latif, Muhammad Zohair et al.our summary
11. Evaluating Linguistic Knowledge of LLMs in Tamil: The ILAKKANAM BenchmarkJeyarajalingam Varsha, Menan Velayuthan, Sumirtha Karunakaran et al.our summary
12. Exploring Large Language Models for Multitask Learning in Bengali Text Classification ↗Md. Sajjad Hossain, Kawsar Ahmed, Suny Md Ashraf Khan et al.
13. Findings of the Second Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2026)Kengatharaiyer Sarveswaran, Surendrabikram Thapa, Ashwini Vaidya et al.our summary
14. From Romanized to Devanagari: Enhancing Nepali Sentiment Analysis with NepaliXlitSuraj Patel, Kashish Kumari Dhami, Norden Sherpa et al.our summary
15. HasNat@CHiPSAL 2026: Multimodal Hate Speech Detection in Low-Resource Nepali Memes Using Aligned Vision–Language Models ↗Alvee Hasan Chowdhury, Md. Abul Hasnat, Adnan Faisal
16. Hi-SEMFLOW: Lie Algebra–Based Semantic Flow for Span-Level Informal Language Identification in HindiManikandan Ravikiran, Tanmay Tiwari, Vibhu Gupta et al.our summary
17. Improving Public Health Safety in Low-Resource Languages Using a Human-Verified Health Misinformation Corpus and Large Language ModelsSujal Maharjan, Astha Shrestha, Laxmi Thapa et al.our summary
18. Lost the Negation or Lost in Negation ↗Vennela Bairi, Parameswari Krishnamurthy
19. MEME-Fusion@CHiPSAL 2026: Multimodal Ablation Study of Hate Detection and Sentiment Analysis on Nepali MemesSamir Wagle, Reewaj Khanal, Abiral Adhikariour summary
20. Multi-Modal-Minds@CHiPSAL 2026: A Comparative Study of Textual, Visual and Multimodal Architecture for Nepali Meme ModerationSandesh Shrestha, Bikram K.C., Akshyat Shah et al.our summary
21. Multimodal Hate and Sentiment Understanding in Low-Resource Text-Embedded Images for Online Safety and Digital Well-beingSurendrabikram Thapa, Shuvam Shiwakoti, Siddhant Bikram Shah et al.our summary
22. NeCCo: Nepali Cultural Commonsense Benchmark for Large Language Model EvaluationSanket Shrestha, Raunak Regmi, Sadikshya Ghimire et al.our summary
23. NeuralNoodles@CHiPSAL 2026: Late-Fusion Multimodal Stacking for Nepali Meme Sentiment ClassificationSidratul Muntaha, Sabila Anzum, Arpita Mallik et al.our summary
24. Nwāchā Munā: A Devanagari Speech Corpus and Proximal Transfer Benchmark for Nepal Bhasha ASRRishikesh Kumar Sharma, Safal Narshing Shrestha, Jenny Poudel et al.our summary
25. Reward-Guided Fine-Tuning of Whisper for Low-Resource Nepali Speech RecognitionAadarsh Pandit, Yudhin Khanal, Ishan Pandey et al.our summary
26. SiPaKosa: A Comprehensive Corpus of Canonical and Classical Buddhist Texts in Sinhala and Pali ↗Ranidu Hansaka Gurusinghe, Nevidu Jayatilleke
27. Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate Speech Detection in MemesNoore Tamanna Orny, Joyeta Barua Moni, Md. Abtahee Kabir et al.our summary
28. TeamHerald@CHIPSAL 2026: Hate Speech Detection and Sentiment Analysis of Nepali Memes Using Transformer-based Architectures and Ensemble Learning ↗Ashish Acharya, Anish Khatiwada, Rohit Khadka et al.
29. Unigoa@CHiPSAL 2026: Early vs Late Fusion for Multimodal Hate and Sentiment Detection in Nepali Memes ↗Ashweta Fondekar, Milind Shivolkar, Jyoti Pawar
30. Why Does Low-Rank Adaptation Work for Hindi-English Code-Mixing? A Geometric AnalysisShashank Vishwakarma, Rakesh Kumarour summary
31. ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme Classification ↗Nitiz Khanal
32. eGrantha.ai@CHiPSAL 2026: Stochastic Image Captioning for Robust Hate Speech Detection in Low-Resource Nepali MemesAnish Thapaliyaour summary
33. linus@CHiPSAL 2026: Multimodal Hate Speech and Sentiment Detection in Low-Resource Memes Using Late-Fusion Hybrid ArchitectureSunil Regmi, Bipesh Subedi, Saugat Singh et al.our summary

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