Papers
44,243 papers found
INDRA: Iterative Difficulty Refinement Attention for MCQ Difficulty Estimation for Indic Languages
Manikandan Ravikiran, Rohit Saluja, Arnav Bhavsar
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
Rakesh Paul, Anusha Kamath, Kanishk Singla et al.
Automatic Accent Restoration in Vedic Sanskrit with Neural Language Models
Yuzuki Tsukagoshi, Ikki Ohmukai
BHRAM-IL: A Benchmark for Hallucination Recognition and Assessment in Multiple Indian Languages
Hrishikesh Terdalkar, Kirtan Bhojani, Aryan Dongare et al.
Mātṛkā: Multilingual Jailbreak Evaluation of Open-Source Large Language Models
Murali Emani, Kashyap Manjusha R
Task-Aware Evaluation and Error-Overlap Analysis for Large Language Models
Pranava Madhyastha
Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models
David Kletz, Sandra Mitrovic, Ljiljana Dolamic et al.
Leveraging NTPs for Efficient Hallucination Detection in VLMs
Ofir Azachi, Kfir Eliyahu, Eyal El Ani et al.
Language Confusion and Multilingual Performance: A Case Study of Thai-Adapted Large Language Models
Pakhapoom Sarapat, Trapoom Ukarapol, Tatsunori Hashimoto
A Comprehensive Evaluation of Large Language Models for Retrieval-Augmented Generation under Noisy Conditions
Josue Caldas, Elvis de Souza
“AGI” team at SHROOM-CAP: Data-Centric Approach to Multilingual Hallucination Detection using XLM-RoBERTa
Harsh Rathwa, Pruthwik Mishra, Shrikant Malviya
Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs
H. G. Ranjani, Rutuja Prabhudesai
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation
Naila Shafirni Hidayat, Muhammad Dehan Al Kautsar, Alfan Farizki Wicaksono et al.
Grahak-Nyay: Consumer Grievance Redressal through Large Language Models
Shrey Ganatra, Swapnil Bhattacharyya, Harshvivek Kashid et al.
Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India
Swapnil Bhattacharyya, Harshvivek Kashid, Shrey Ganatra et al.
Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation
Ananth Kandala, Ratna Kandala, Akshata Kishore Moharir et al.
A Hybrid Quantum-Classical Fusion for Deep Semantic Paraphrase Detection
Devanarayanan K, Fayas S Mohamad, Dheeraj V Mohan et al.
QCNN-MFND: A Novel Quantum CNN Framework for Multimodal Fake News Detection in Social Media
Arya Suneesh, Balasubramanian Palani
A Systematic Survey of Quantum Natural Language Processing: Models, Encoding Paradigms, and Evaluation Methods
Arpita Vats, Rahul Raja, Ashish Kattamuri et al.
A Survey of Quantum Natural Language Processing: From Compositional Models to NISQ-Era Empiricism
Arpan Phukan, Asif Ekbal
Exploring Health Misinformation Detection with Multi-Agent Debate
Chih-Han Chen, Chen-Han Tsai, Yu-Shao Peng
Atlas: Customizing Large Language Models for Reliable Bibliographic Retrieval and Verification
Akash Kodali, Hailu Xu, Wenlu Zhang et al.