Paper2Agent, published in Nature, converts papers into validated MCP tools, scoring 91.2% on 300 questions across 74 papers.
Category: AI
Integrating knowledge from case reports: a medical ontology based multimodal information system with structured summary
arXiv:2609.19775v1 Announce Type: new Abstract: Published medical case reports serve as a crucial medical information carrier, documenting discoveries in…
Replan, Repair, or Edit? A Unified Empirical Evaluation of Travel Agents for Itinerary Revision under Resource Disruptions
arXiv:2609.19654v1 Announce Type: new Abstract: Travel-planning agents generate itineraries that may become infeasible after acceptance because of flight…
AutoData: Agentic Search for Pre-training Data Selection
arXiv:2609.19754v1 Announce Type: new Abstract: LLM agents have recently shown promise in automating machine learning engineering by editing model and…
When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models
arXiv:2609.19671v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) achieve strong performance on complex tasks but exhibit systematic…
LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents
arXiv:2609.19721v1 Announce Type: new Abstract: Clinical coding agents repeatedly encounter the same failure modes, including unsupported codes, missed…
Knowledgator Releases GLiFormer: A 575M-Parameter Encoder That Hits 91.10 F1 on Nested JSON Extraction Without Generating Tokens
GLiFormer Large scores 91.10 F1 on nested JSON, near GPT-5.6-luna’s 91.96, while grounding every value in source spans.
FINSKILLOPS: A Self-Evolving Multi-Agent System for SEC Filing QA
arXiv:2609.19680v1 Announce Type: new Abstract: Financial QA systems are typically improved before deployment through better retrieval, prompting, or…
Continual Enterprise World Model Discovery in Dynamic Systems
arXiv:2609.19551v1 Announce Type: new Abstract: In an enterprise system, updating one field can set another, create a record, or start an approval. These…
Reach or Solve? Attributing Agentic RL Gains with Checkpoint Handoffs
arXiv:2609.19636v1 Announce Type: new Abstract: Reinforcement learning now trains language-model agents that act over dozens of steps in live…