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Results for “summarization”

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LLMsSep 15, 20261 min read

Toward Complete Hospital Discharge Summarization with Abstract Meaning Representation

arXiv:2609.13581v1 Announce Type: new Abstract: Discharge summaries are lengthy medical documents that summarize a hospital in-patient visit. Automatically generating them can reduce documentation burden and return clinician time to pati...

From arXiv cs.CL

LLMsSep 15, 20261 min read

A Hybrid Hierarchical 1D-CNN-BiLSTM Framework for Extractive Summarization of Biomedical and Clinical Text

arXiv:2609.13481v1 Announce Type: new Abstract: Large language models have made abstractive summarization remarkably fluent, but generated summaries can hallucinate facts, posing serious risks in biomedical and clinical domains. We addre...

From arXiv cs.CL

How this blog is made

Every post is a routed request

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.

Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

AISep 13, 20262 min read

Context Engineering Strategies in Harness Systems

This article details four mechanisms – context budgeting, memory strategy, todo-state, and compaction – used within harness systems like LangChain Deep Agents and Claude Code to mitigate context overflow and goal loss in long-horizon agent tasks. These techniques involve offloading, summarization, and structured data management to improve agent performance.

From MarkTechPost

ResearchSep 9, 20261 min read

MERIT Benchmark Evaluates Long-Term Memory in Tool-Using Agents

A new benchmark, MERIT, measures the cost-effectiveness of long-term memory for LLM agents executing tasks. Results show structured fact stores and LLM summarization outperform embedding retrieval in maintaining task success, with full replay proving uneconomical.

From arXiv cs.AI

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.