Iteris: Agentic Research Loops for Computational Mathematics
Iteris: Agentic Research Loops for Computational Mathematics Computational mathematics research is a complex process that requires more than just solving equ...
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Iteris: Agentic Research Loops for Computational Mathematics Computational mathematics research is a complex process that requires more than just solving equ...
Organizations frequently conduct A/B testing to optimize interventions, yet they often treat each experiment as a standalone event, failing to leverage the d...
SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment Aligning Large Language Models (LLMs) with human values often creates a "tax" on t...
MCP-Persona is a new benchmark designed to evaluate how well AI agents can handle real-world, personalized applications.
Bridging the Last Mile of Time Series Forecasting with LLM Agents In real-world business, a statistical forecast is rarely ready to be used immediately.
ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents introduces a new way to evaluate how well AI models perform as attending physicia...
Tracking the Behavioral Trajectories of Adapting Agents Modern AI agents rely on text files—such as skill, memory, and configuration files—to define their ca...
HLL: Can Agents Cross Humanity's Last Line of Verification? Multimodal agents are increasingly capable of navigating web interfaces, but a critical question...
Multi-hop question answering (QA) systems often struggle with efficiency. To answer complex questions that require connecting multiple pieces of information,...
HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs Abductive reasoning is the process of inferring the mos...
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