10 papers
Local verification cannot detect non-transportability: a cohomological theory of context preservation in agentic reasoning
Suyash Mishra
Agentic AI systems routinely transport conclusions across biological, clinical and financial contexts, and the emerging safeguard is local verification: checking at each step that…
YUKTI: From Natural-Language Situations to Robust, Verifiable Decisions An Uncertainty-Typed Proposition IR, Assumption-Robust Pareto Frontiers, and a Regret Certificate
Suyash Mishra
Language models turn a worded situation into a numeric plan, and the dominant pipelines (NL4Opt, OptiMUS, ORLM, OR-LLM-Agent) commit to a single objective and point-valued coeffici…
A Calculus of Discernment: Decision-Relevant Insight, Sequence Value, and Forgetting as Higher-Order Learning
Suyash Mishra
In a world of generative AI, candidate insights are abundant; what is scarce is the capacity to discern which matter, to act on them in the right amount and order, and to forget th…
VCAO: Verifier-Centered Agentic Orchestration for Strategic OS Vulnerability Discovery
Suyash Mishra
We formulate operating-system vulnerability discovery as a \emph{repeated Bayesian Stackelberg search game} in which a Large Reasoning Model (LRM) orchestrator allocates analysis b…
Prism: An Evolutionary Memory Substrate for Multi-Agent Open-Ended Discovery
Suyash Mishra
We introduce \prism{} (\textbf{P}robabilistic \textbf{R}etrieval with \textbf{I}nformation-\textbf{S}tratified \textbf{M}emory), an evolutionary memory substrate for multi-agent AI…
Personalization as a Game: Equilibrium-Guided Generative Modeling for Physician Behavior in Pharmaceutical Engagement
Suyash Mishra
We present \textbf{EGPF} (Equilibrium-Guided Personalization Framework), a mathematically rigorous architecture unifying Bayesian game theory, category theory, information theory,…
Finder: A Multimodal AI-Powered Search Framework for Pharmaceutical Data Retrieval
Suyash Mishra, Srikanth Patil, Satyanarayan Pati +2
AI is transforming pharmaceutical search, where traditional systems struggle with multimodal content and manual curation. Finder is a scalable AI-powered framework that unifies ret…
Are Two LLMs Better Than One? A Student-Teacher Dual-Head LLMs Architecture for Pharmaceutical Content Optimization
Suyash Mishra, Qiang Li, Anubhav Girdhar
Large Language Models (LLMs) are increasingly used for content creation in regulated domains such as pharmaceuticals, where content must be medical accurate and legally compliant.…
From Understanding to Engagement: Personalized pharmacy Video Clips via Vision Language Models (VLMs)
Suyash Mishra, Qiang Li, Srikanth Patil +1
Vision Language Models (VLMs) are poised to revolutionize the digital transformation of pharmacyceutical industry by enabling intelligent, scalable, and automated multi-modality co…
Scaling Vision Language Models for Pharmaceutical Long Form Video Reasoning on Industrial GenAI Platform
Suyash Mishra, Qiang Li, Srikanth Patil +2
Vision Language Models (VLMs) have shown strong performance on multimodal reasoning tasks, yet most evaluations focus on short videos and assume unconstrained computational resourc…