1 citations · 1 across the 7 of their papers we have counts for
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TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection
Shivam Swarup, Divya Prakash Shrivastava, Rakesh Thakur
LLM agents can now generate realistic shilling profiles, fluent reviews, and coherent ratings at scale, systematically defeating recommender-system defenses. Text-only detectors th…
Capturing Opinion Shifts in Deliberative Discourse through Frequency-based Quantum deep learning methods
Rakesh Thakur, Harsh Chaturvedi, Ruqayya Shah +2
Deliberation plays a crucial role in shaping outcomes by weighing diverse perspectives before reaching decisions. With recent advancements in Natural Language Processing, it has be…
HiFACTMix: A Code-Mixed Benchmark and Graph-Aware Model for EvidenceBased Political Claim Verification in Hinglish
Rakesh Thakur, Sneha Sharma, Gauri Chopra
Fact-checking in code-mixed, low-resource languages such as Hinglish remains an underexplored challenge in natural language processing. Existing fact-verification systems largely f…
Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language
Jaskaranjeet Singh, Rakesh Thakur
Despite rapid advances in large language models (LLMs), low-resource languages remain excluded from NLP, limiting digital access for millions. We present PunGPT2, the first fully o…
Unlocking Model Insights: A Dataset for Automated Model Card Generation
Shruti Singh, Hitesh Lodwal, Husain Malwat +2
Language models (LMs) are no longer restricted to ML community, and instruction-tuned LMs have led to a rise in autonomous AI agents. As the accessibility of LMs grows, it is imper…