61 citations · 63 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 2 cited
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification
Adarsh Kumar, Hwiyoon Kim, Jawahar Sai Nathani +1
Hallucination, where large language models (LLMs) generate confident but incorrect or irrelevant information, remains a key limitation in their application to complex, open-ended t…
cs.LG2020★ 61 cited
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg, Adarsh Kumar, Vibhor Goel +1
Adversarial machine learning has exposed several security hazards of neural models and has become an important research topic in recent times. Thus far, the concept of an "adversar…