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Total papers: 6 Search mode: keyword Shortlist (0) RSS

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From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring

Seunghwan Kim, Tiffany H. Kung, Heena Verma, Dilan Edirisinghe, Kaveh Sedehi, Johanna Alvarez · Mar 10, 2026

Citations: 0

Match reason: Matches selected tags (Long Horizon, Expert Verification).

Score: 58% High protocol signal Freshness: Warm Status: Ready
Expert Verification Automatic Metrics Long Horizon Medicine
  • Results: Against a human majority-vote standard (N=467), the agent achieved 95.8% emergency sensitivity and 88.5% sensitivity for all actionable alerts (85.7% specificity).
  • In LOO analysis, the agent outperformed every clinician in emergency sensitivity (97.5% vs.
Open paper
Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification

Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van de Schaar · Mar 3, 2026

Citations: 0

Match reason: Matches selected tags (Long Horizon, Expert Verification).

Score: 58% High protocol signal Freshness: Warm Status: Ready
Expert Verification Automatic Metrics Long Horizon Medicine
  • As LLM-powered agents have been used for high-stakes decision-making, such as clinical diagnosis, it becomes critical to develop reliable verification of their decisions to facilitate trustworthy deployment.
  • We empirically validate GLEAN with agentic clinical diagnosis across three diseases from the MIMIC-IV dataset, surpassing the best baseline by 12% in AUROC and 50% in Brier score reduction, which confirms the effectiveness in both…
Open paper
AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents

Lingxiang Hu, Yiding Sun, Tianle Xia, Wenwei Li, Ming Xu, Liqun Liu · Feb 15, 2026

Citations: 0

Match reason: Matches selected tags (Long Horizon, Expert Verification).

Score: 58% High protocol signal Freshness: Warm Status: Ready
Expert Verification Simulation Env Long Horizon Coding
  • While Large Language Model (LLM) agents have achieved remarkable progress in complex reasoning tasks, evaluating their performance in real-world environments has become a critical problem.
  • To address this gap, we propose AD-Bench, a benchmark designed based on real-world business requirements of advertising and marketing platforms.
Open paper
APEX-Agents

Bertie Vidgen, Austin Mann, Abby Fennelly, John Wright Stanly, Lucas Rothman, Marco Burstein · Jan 20, 2026

Citations: 0

Match reason: Matches selected tags (Long Horizon, Expert Verification).

Score: 58% High protocol signal Freshness: Warm Status: Ready
Rubric RatingExpert Verification Automatic Metrics Long Horizon Law
  • We introduce the AI Productivity Index for Agents (APEX-Agents), a benchmark for assessing whether AI agents can execute long-horizon, cross-application tasks created by investment banking analysts, management consultants, and corporate…
  • We test eight agents for the leaderboard using Pass@1.
Open paper
DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation

Janghoon Han, Heegyu Kim, Changho Lee, Dahm Lee, Min Hyung Park, Hosung Song · Dec 19, 2025

Citations: 0

Match reason: Matches selected tags (Long Horizon, Expert Verification).

Score: 50% Moderate protocol signal Freshness: Cold Status: Ready
Rubric RatingExpert Verification Long Horizon General
  • However, evaluating such reports remains challenging: report quality is multifaceted, making it difficult to determine what to assess and by what criteria; LLM-based judges may miss errors that require domain expertise to identify; and…
  • To address these issues, we propose DEER, a benchmark for evaluating expert-level deep research reports.
Open paper

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