---
title: "workshop on Challenges in Processing South Asian Languages"
description: "All 33 papers of workshop on Challenges in Processing South Asian Languages 2026, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/chipsal/2026/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/chipsal/2026/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [workshop on Challenges in Processing…](https://md.research.elamur.ai/free/en/venues/chipsal/) / [2026](https://md.research.elamur.ai/free/en/venues/chipsal/2026/) / papers

# 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](https://md.research.elamur.ai/free/en/venues/chipsal/2026/)

1. **[A Feature-Fusion Ensemble Approach for Tamil Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/nerujan-2026-feature-fusion-ensemble-approach-tamil/)**Sathasivam Nerujan, Kengatharaiyer Sarveswaran*our summary*
2. **[A Morphological Transducer for the Limbu Language](https://md.research.elamur.ai/free/en/papers/singh-2026-morphological-transducer-limbu-language/)**Avyaya Singh, Jonathan N. Washington*our summary*
3. **[BNLI: A Linguistically-Refined Bengali Dataset for Natural Language Inference ↗](https://aclanthology.org/2026.chipsal-1.9/)**Farah Binta Haque, Md Yasin, Shishir Saha et al.
4. **[Comparative Analysis of Tokenizers in Tamil Text Classification in Low Resource Settings](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-comparative-analysis-tokenizers-tamil-text/)**Gokulan Sivakumaran, Randil Pushpananda, ERAD Bandara*our summary*
5. **[Cross-Domain Evaluation of Transformer-Based Models for Punjabi Speech Emotion Recognition](https://md.research.elamur.ai/free/en/papers/zahra-2026-cross-domain-evaluation-transformer-based/)**Fatima 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 ↗](https://aclanthology.org/2026.chipsal-1.30/)**Rotna Dipika Debnath, Shahrin Afroz Hoque Ruhi, Ayesha Labiba et al.
7. **[DR-RAG: Addressing Retrieval Misalignment in Low-Resource Urdu Question Answering ↗](https://aclanthology.org/2026.chipsal-1.6/)**Saad Ahmad, Muhammad Hammad, Muhammad Zeeshan et al.
8. **[Development of Burushaski Speech - English Text Translation Dataset](https://md.research.elamur.ai/free/en/papers/saleem-2026-development-burushaski-speech-english-text/)**Tauqeer Saleem, Abdul Samad, Azkaa Nasir et al.*our summary*
9. **[EthosAI@CHiPSAL2026: Hate and Sentiment Understanding in Low-Resource Memes Using a Multimodal Approach ↗](https://aclanthology.org/2026.chipsal-1.33/)**Vinayak Bansal, Deepawali Sharma, Aakash Singh et al.
10. **[Evaluating Large Language Models for Medical Named Entity Recognition in Urdu: A Benchmark Study](https://md.research.elamur.ai/free/en/papers/nasim-2026-evaluating-large-language-models-medical/)**Bushra Nasim, Kinza Latif, Muhammad Zohair et al.*our summary*
11. **[Evaluating Linguistic Knowledge of LLMs in Tamil: The ILAKKANAM Benchmark](https://md.research.elamur.ai/free/en/papers/varsha-2026-evaluating-linguistic-knowledge-llms-tamil/)**Jeyarajalingam Varsha, Menan Velayuthan, Sumirtha Karunakaran et al.*our summary*
12. **[Exploring Large Language Models for Multitask Learning in Bengali Text Classification ↗](https://aclanthology.org/2026.chipsal-1.10/)**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)](https://md.research.elamur.ai/free/en/papers/sarveswaran-2026-findings-second-workshop-challenges-processing/)**Kengatharaiyer Sarveswaran, Surendrabikram Thapa, Ashwini Vaidya et al.*our summary*
14. **[From Romanized to Devanagari: Enhancing Nepali Sentiment Analysis with NepaliXlit](https://md.research.elamur.ai/free/en/papers/patel-2026-romanized-devanagari-enhancing-nepali-sentiment/)**Suraj 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 ↗](https://aclanthology.org/2026.chipsal-1.23/)**Alvee Hasan Chowdhury, Md. Abul Hasnat, Adnan Faisal
16. **[Hi-SEMFLOW: Lie Algebra–Based Semantic Flow for Span-Level Informal Language Identification in Hindi](https://md.research.elamur.ai/free/en/papers/ravikiran-2026-hi-semflow-lie-algebra-based/)**Manikandan 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 Models](https://md.research.elamur.ai/free/en/papers/maharjan-2026-improving-public-health-safety-low/)**Sujal Maharjan, Astha Shrestha, Laxmi Thapa et al.*our summary*
18. **[Lost the Negation or Lost in Negation ↗](https://aclanthology.org/2026.chipsal-1.3/)**Vennela Bairi, Parameswari Krishnamurthy
19. **[MEME-Fusion@CHiPSAL 2026: Multimodal Ablation Study of Hate Detection and Sentiment Analysis on Nepali Memes](https://md.research.elamur.ai/free/en/papers/wagle-2026-meme-fusion-chipsal-2026-multimodal/)**Samir Wagle, Reewaj Khanal, Abiral Adhikari*our summary*
20. **[Multi-Modal-Minds@CHiPSAL 2026: A Comparative Study of Textual, Visual and Multimodal Architecture for Nepali Meme Moderation](https://md.research.elamur.ai/free/en/papers/shrestha-2026-multi-modal-minds-chipsal-2026/)**Sandesh 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-being](https://md.research.elamur.ai/free/en/papers/thapa-2026-multimodal-hate-sentiment-understanding-low/)**Surendrabikram Thapa, Shuvam Shiwakoti, Siddhant Bikram Shah et al.*our summary*
22. **[NeCCo: Nepali Cultural Commonsense Benchmark for Large Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/shrestha-2026-necco-nepali-cultural-commonsense-benchmark/)**Sanket Shrestha, Raunak Regmi, Sadikshya Ghimire et al.*our summary*
23. **[NeuralNoodles@CHiPSAL 2026: Late-Fusion Multimodal Stacking for Nepali Meme Sentiment Classification](https://md.research.elamur.ai/free/en/papers/muntaha-2026-neuralnoodles-chipsal-2026-late-fusion/)**Sidratul Muntaha, Sabila Anzum, Arpita Mallik et al.*our summary*
24. **[Nwāchā Munā: A Devanagari Speech Corpus and Proximal Transfer Benchmark for Nepal Bhasha ASR](https://md.research.elamur.ai/free/en/papers/sharma-2026-nwacha-muna-devanagari-speech-corpus/)**Rishikesh Kumar Sharma, Safal Narshing Shrestha, Jenny Poudel et al.*our summary*
25. **[Reward-Guided Fine-Tuning of Whisper for Low-Resource Nepali Speech Recognition](https://md.research.elamur.ai/free/en/papers/pandit-2026-reward-guided-fine-tuning-whisper/)**Aadarsh Pandit, Yudhin Khanal, Ishan Pandey et al.*our summary*
26. **[SiPaKosa: A Comprehensive Corpus of Canonical and Classical Buddhist Texts in Sinhala and Pali ↗](https://aclanthology.org/2026.chipsal-1.8/)**Ranidu Hansaka Gurusinghe, Nevidu Jayatilleke
27. **[Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate Speech Detection in Memes](https://md.research.elamur.ai/free/en/papers/orny-2026-team-oryu-chipsal-2026-integrating/)**Noore 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 ↗](https://aclanthology.org/2026.chipsal-1.24/)**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 ↗](https://aclanthology.org/2026.chipsal-1.22/)**Ashweta Fondekar, Milind Shivolkar, Jyoti Pawar
30. **[Why Does Low-Rank Adaptation Work for Hindi-English Code-Mixing? A Geometric Analysis](https://md.research.elamur.ai/free/en/papers/vishwakarma-2026-why-does-low-rank-adaptation/)**Shashank Vishwakarma, Rakesh Kumar*our summary*
31. **[ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme Classification ↗](https://aclanthology.org/2026.chipsal-1.28/)**Nitiz Khanal
32. **[eGrantha.ai@CHiPSAL 2026: Stochastic Image Captioning for Robust Hate Speech Detection in Low-Resource Nepali Memes](https://md.research.elamur.ai/free/en/papers/thapaliya-2026-egrantha-ai-chipsal-2026-stochastic/)**Anish Thapaliya*our summary*
33. **[linus@CHiPSAL 2026: Multimodal Hate Speech and Sentiment Detection in Low-Resource Memes Using Late-Fusion Hybrid Architecture](https://md.research.elamur.ai/free/en/papers/regmi-2026-linus-chipsal-2026-multimodal-hate/)**Sunil Regmi, Bipesh Subedi, Saugat Singh et al.*our summary*
- [← back to](https://md.research.elamur.ai/free/en/venues/chipsal/2026/) — workshop on Challenges in Processing South Asian Languages 2026