Shrey Patel Shrey 3782 Threads Say More Hey, i am shrey pandit. i am currently pursuing a master’s degree in computer science at the university of texas at austin, under the guidance of dr. greg durrett and dr. ying ding, focusing on the hallucination of large language models (llms) in the medical domain. Shrey pandit salesforce research verified email at salesforce homepage natural language processing.
Shrey Gupta View shrey pandit’s profile on linkedin, a professional community of 1 billion members. Shreypandit has 28 repositories available. follow their code on github. Semantic scholar profile for shrey pandit, with 14 highly influential citations and 14 scientific research papers. 922 followers, 1,889 following, 45 posts shrey pandit (@shreyyyyyyyy) on instagram: "co founder @cafeundertree".
Shrey Nehal Pandit Semantic scholar profile for shrey pandit, with 14 highly influential citations and 14 scientific research papers. 922 followers, 1,889 following, 45 posts shrey pandit (@shreyyyyyyyy) on instagram: "co founder @cafeundertree". My passion lies in machine learning, with a particular focus on natural language processing. i am committed to bridging the gap between theoretical knowledge and practical application. Sports data has become widely available in the recent past. with the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of. To address this, we introduce medhallu, one of the the first benchmark specifically designed for medical hallucination detection. medhallu comprises 10,000 high quality question answer pairs derived from pubmedqa, with hallucinated answers systematically generated through a controlled pipeline. Ai agents that rely on web search are vulnerable to a deceptively simple attack: adversaries publish fake but authoritative sounding content designed to be retrieved during search. think "ai slop" for agents.
Shrey Medium My passion lies in machine learning, with a particular focus on natural language processing. i am committed to bridging the gap between theoretical knowledge and practical application. Sports data has become widely available in the recent past. with the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of. To address this, we introduce medhallu, one of the the first benchmark specifically designed for medical hallucination detection. medhallu comprises 10,000 high quality question answer pairs derived from pubmedqa, with hallucinated answers systematically generated through a controlled pipeline. Ai agents that rely on web search are vulnerable to a deceptively simple attack: adversaries publish fake but authoritative sounding content designed to be retrieved during search. think "ai slop" for agents.
Shrey Sawant Shrey Github To address this, we introduce medhallu, one of the the first benchmark specifically designed for medical hallucination detection. medhallu comprises 10,000 high quality question answer pairs derived from pubmedqa, with hallucinated answers systematically generated through a controlled pipeline. Ai agents that rely on web search are vulnerable to a deceptively simple attack: adversaries publish fake but authoritative sounding content designed to be retrieved during search. think "ai slop" for agents.
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