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12 articles for “Hallucination”
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Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Unmasking Hallucinations in Large Language Models Using Analysis of the LLAMA 2 Model and RAG Intervention
Abstract: The study describes the creation of a chatbot for financial trading called "TradeBot" and how it uses Retrieval Augmented Generation (RAG) to overcome the problem of producing false or unverifiable information, sometimes known as hallucinations. RAG allows the chatbot to refer to an external data source in addition to its taught knowledge, which increases the accuracy of its responses. The NCFM (NSE's Certification in Financial Markets) book was integrated as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 76–86 Read article
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Modern Society and the Rise of Cannabis Abuse among Adolescents in India
Abstract: Adolescence is one of the most complicated and significant stages of growth in an individual. It is that part of development that occurs during the period from puberty to adulthood and is also commonly referred to as the teenage years. The goal of this stage is maturity and the development of self and social acceptance. It is here that the individual develops opportunities for growth in maturity, responsibility, competence and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 11, Issue 2, 2021 · pp. 19–22 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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Application of Medicinal Plants to Cure Mental Disorders
Abstract: Mental fitness is a state of well-being in which individuals apprehend their talents, manage existing pressures, remain efficient, and contribute to their groups. Mental contamination regularly used interchangeably with intellectual illness, is vital to apprehending and addressing man or woman desires and challenges. Schizophrenia, a psychological disorder characterized by hallucinations and delusions, is a complex situation with two important classes: bad symptoms (withdrawal from social interactions, loss of force, and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 69–78 Read article
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Electroconvulsive Therapy in the Management of Schizophrenia: A Systematic Review in Emergency Nursing Practice
Abstract: Electroconvulsive therapy (ECT) is a well-established treatment for various psychiatric disorders, including schizophrenia, particularly in cases where patients are resistant to conventional treatments. Schizophrenia, a chronic and severe psychiatric disorder, often presents with a combination of positive symptoms (such as hallucinations and delusions), negative symptoms (such as social withdrawal and emotional blunting), and cognitive impairments. While antipsychotic medications are the primary treatment, approximately 20–30% of individuals with schizophrenia do not …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 43–48 Read article
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Application of Drug Delivery using Nano- technology to Cure Mental Disorders (Schizophrenia)
Abstract: Nanotechnology involves the manipulation of the count at an atomic scale to create novel systems, materials, and devices. This groundbreaking era holds substantial potential for scientific development across various domain names, which includes manufacturing, patron items, electricity, substances, and remedies. In current times, the sphere of prescribed drugs has witnessed a brilliant surge in the usage of nanotechnology for the improvement of revolutionary medications. Schizophrenia, a neuropsychiatric disorder affecting the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 51–65 Read article
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Awareness and Knowledge of Postpartum Psychosis Among Antenatal Women: A Call for Educational Intervention
Abstract: Postpartum psychosis (PP) is a rare yet critical mental health disorder that poses serious risks to the well-being of new mothers. This condition manifests through a range of acute symptoms, including manic episodes, depressive states, confusion, hallucinations, and delusions. Symptoms typically present abruptly within the first two weeks following childbirth, making it a medical emergency that necessitates urgent care. Left untreated, PP can lead to severe consequences, including self-harm or …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 125–134 Read article
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Phytopharmacognostic Study Development And Assessment Of Datura Stramonium
Abstract: Daturastrontium, a member of the Solanaceae family, is widely known for its medicinal and toxicological significance. Native to Asia and the Americas, it has been utilized for both spiritual rituals and traditional medicine due to its potent psychoactive and narcotic properties. Historically, it has been employed to treat conditions such as asthma, rheumatism, and inflammation, but its misuse, especially in religious contexts and recreationally, often leads to toxic effects like …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 33–39 Read article
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Challenges, Risks, and Limitations of Vibe Coding in AI-Assisted Software Development
Abstract: Vibe coding is a new way of programming driven by LLMs (large language models). It helps developers write code from natural language. Developers can use prompts with artificial intelligence (AI) for code generation. AI assistants generate software directly through text. They can now perform tasks and understand user requirements. This process makes software development faster and easier for developers, but vibe coding has some drawbacks. Sometimes, it leads to security …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 43–48 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial intelligence (AI) is seamlessly woven into vital sectors, such as self-driving cars, high-speed trading systems, and defense strategies; it has triggered a counterintuitive development in advanced cyberattacks. This survey paper attempts to perform an in-depth technical analysis of the “AI attack surface.” There are threats across three main vectors. Data integrity attacks focus specifically on examining “clean-label” poisoning and backdoor injection. Model confidentiality breaches discuss the mathematics behind model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article