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DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Deep Research (DR) systems are designed to handle co...
How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope This paper investigates how the transition from conversational AI assistants to autonom...
Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle This paper introduces the AARR (Act As a...
Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search Bidirectional heuristic search is a technique used to find the shortest p...
Large Reasoning Models (LRMs) have become highly effective at solving complex problems by using "Chain-of-Thought" reasoning—a process where the model reflec...
This paper introduces a new framework for managing "LLM cascading," a process where a system sequentially queries different AI models to balance the cost of...
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Current safety protocols for frontier AI models often rely on monitoring "c...
Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation This paper addresses the growing problem of "black box" AI in high-stakes fields...
TOPSIS-RAD: Ranking According to Desires Traditional decision-making methods often rely on the data itself to define the "best" and "worst" possible outcomes...
Risk Assessment of Autonomous Driving: Integrating Technical Failures, Ethical Dilemmas, and Policy Frameworks This paper explores the multifaceted risks ass...
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