Saul Urso

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authored a paper about 21 hours ago

Ensemble Routing for Prompt-Adaptive Cost-Aware LLM Inference

Paper • 2611.10193 • Published 5 days ago • 1

upvoted a paper 2 days ago

AgentBaton: Efficient Model Collaboration in Agentic Tasks

Paper • 2610.35959 • Published 17 days ago • 21

upvoted 2 papers 4 days ago

SwarmEvolve: Latent Agent Swarms for Evolutionary Discovery and Optimization

Paper • 2611.08483 • Published 6 days ago • 11

EvoMemState: Evolving Memory State for Personal Agents

Paper • 2611.03743 • Published 9 days ago • 36

upvoted a paper 5 days ago

Random Is Almost Enough? Stable and Low-Cost Benchmark Compression via BestRand

Paper • 2611.00883 • Published 11 days ago • 53

upvoted 3 papers 7 days ago

ParetoSaddler: Pareto-Guided Optimization of Agent Harnesses for Quality and Cost

Paper • 2611.02079 • Published 10 days ago • 21

EvoTeam: Multi-Agent Collaboration via Evolving Teams

Paper • 2610.39813 • Published 12 days ago • 28

Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems

Paper • 2611.05275 • Published 8 days ago • 83

upvoted a paper 8 days ago

MAServeBench: Benchmarking Multi-Agent LLM Serving Systems with Hierarchical Collaboration Workloads

Paper • 2610.40293 • Published 13 days ago • 11

upvoted a paper 9 days ago

CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems

Paper • 2610.34722 • Published 16 days ago • 27

upvoted a paper 12 days ago

Your Benchmark Is an Empirical Measure Over Difficulty

Paper • 2610.29927 • Published 21 days ago • 27

upvoted a paper 14 days ago

What Effort Level Should I Choose? On the Economics of Reasoning Effort in LLM Agents

Paper • 2610.34491 • Published 17 days ago • 22

upvoted a paper 23 days ago

Into the Unknown: Benchmarking AI agents on open scientific research problems

Paper • 2610.19159 • Published 29 days ago • 56

upvoted a paper 3 months ago

Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design

Paper • 2608.10299 • Published Aug 10 • 129

upvoted 3 papers 4 months ago

Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems

Paper • 2607.21503 • Published Jul 23 • 28

Multi-Agent LLMs Fail to Explore Each Other

Paper • 2607.11250 • Published Jul 13 • 14

ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes

Paper • 2607.04439 • Published Jul 5 • 60

upvoted 3 papers 6 months ago

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

Paper • 2605.18401 • Published May 18 • 77

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents

Paper • 2605.09530 • Published May 10 • 131

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling

Paper • 2605.08083 • Published May 8 • 71