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A. Dash

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#artificial intelligence Preprint Sep 2026

Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and Responses

Conversational LLM agents increasingly rely on Web search, yet the end-to-end lifecycle of agentic search remains poorly understood. We present the first study of Web search across four major conversational platforms (ChatGPT, Claude, Grok, and DeepSeek), combining real-world user interactions (invivo) with controlled...

Mahsa Amani, Seungeon Lee, A. Dash et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms

Empirical research on content moderation is fundamentally constrained by the opaque deployment of moderation systems on major social media platforms. To this end, the recent emergence of decentralized platforms with transparent, public moderation logs presents an unprecedented opportunity for independent audits. In thi...

Pushpdeep Singh, Sayeh Jarollahi, Ayan Majumdar et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

Two competing paradigms for Vision-Language Model (VLM) guidance are compared: an instruction-driven approach where models reason from policy precepts, and an example-driven approach where they generalize from prior precedents.

Ayan Majumdar, Shounak Paul, Pushpdeep Singh et al. · 2 citations
Jul 2026

On Exercising Governance Power in Decentralized Autonomous Organizations

This work explicates the trust and transparency trade-offs of the design choices in implementing a DAO and highlights how poor choices introduce critical vulnerabilities, using real-world examples as case studies.

Vabuk Pahari, B. Chandrasekaran, Johnnatan Messias et al. · 0 citations

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