3 papers
cs.CL2025
Adaptive Blockwise Search: Inference-Time Alignment for Large Language Models
Mohammad Atif Quamar, Mohammad Areeb, Nishant Sharma +5
LLM alignment remains a critical challenge. Inference-time methods provide a flexible alternative to fine-tuning, but their uniform computational effort often yields suboptimal ali…
cs.CR2025
Investigating the Impact of Dark Patterns on LLM-Based Web Agents
Devin Ersoy, Brandon Lee, Ananth Shreekumar +4
As users increasingly turn to large language model (LLM) based web agents to automate online tasks, agents may encounter dark patterns: deceptive user interface designs that manipu…
cs.AI2025
Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems
Edoardo Allegrini, Ananth Shreekumar, Z. Berkay Celik
Agentic AI systems, which leverage multiple autonomous agents and large language models (LLMs), are increasingly used to address complex, multi-step tasks. The safety, security, an…