1.5 KiB
1.5 KiB
Paper: MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
type: paper title: "MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition" authors: Tim Cofala, Christian Kalfar, Jingge Xiao, Johanna Schrader, Michelle Tang, Wolfgang Nejdl year: 2025 venue: arXiv url: https://arxiv.org/abs/2512.11682 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-12-12 updated_at: 2026-06-15 status: queued relevance: high topics:
- agent-evaluation
- agent-safety
- computer-use
- planning
- rag
- reasoning
- tool-use methods:
benchmarks:
models:
datasets:
- cs.AI
- cs.LG related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 17 collection_queries: function-calling
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: function-calling
- inferred topics: agent-evaluation, agent-safety, computer-use, planning, rag, reasoning, tool-use
- arXiv categories: cs.AI, cs.LG
- collection score: 17
Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from
queuedtoskimmedorsummarized?