SkillComposer performs task-conditioned skill sequence prediction with a constrained autoregressive decoder to jointly output skill subset, count, and order, raising pass rates by 23.1 and 18.2 percentage points on two production coding agents over no-skill baselines.
The evolution of tool use in LLM agents: From single-tool call to multi-tool orchestration
5 Pith papers cite this work. Polarity classification is still indexing.
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FinTrace supplies trajectory-level metrics for LLM financial tool calling, exposing gaps in information use and output quality, while its preference dataset enables DPO training that boosts intermediate metrics.
In long-context LLM serving, accuracy becomes speed via retry dynamics, and accuracy-aware routing reduces time-to-correct-answer.
Introduces Augment Engineering as a six-phase multi-tool orchestration methodology, supported by exploratory statistics from a single-practitioner case study across seven domains.
HarnessAPI derives streaming HTTP endpoints, OpenAPI UI, and MCP tools from a single handler.py plus Pydantic schemas, cutting framework boilerplate by 74%.
citing papers explorer
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Generative Skill Composition for LLM Agents
SkillComposer performs task-conditioned skill sequence prediction with a constrained autoregressive decoder to jointly output skill subset, count, and order, raising pass rates by 23.1 and 18.2 percentage points on two production coding agents over no-skill baselines.
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FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks
FinTrace supplies trajectory-level metrics for LLM financial tool calling, exposing gaps in information use and output quality, while its preference dataset enables DPO training that boosts intermediate metrics.
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Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving
In long-context LLM serving, accuracy becomes speed via retry dynamics, and accuracy-aware routing reduces time-to-correct-answer.
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Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains
Introduces Augment Engineering as a six-phase multi-tool orchestration methodology, supported by exploratory statistics from a single-practitioner case study across seven domains.
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HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools
HarnessAPI derives streaming HTTP endpoints, OpenAPI UI, and MCP tools from a single handler.py plus Pydantic schemas, cutting framework boilerplate by 74%.