476 citations · 553 across the 11 of their papers we have counts for
6 papers · 1 filter
The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge Graphs
Arquimedes Canedo
A graph retrieval-augmented generation pipeline chooses which triples to put in the prompt, a syntax to write them in, an order to write them in, and a sentence telling the model w…
Invalidation Contracts for Cross-Episode Agent Memory
Michael Wu, Arquimedes Canedo
LLM agents that cache recovery suggestions from API errors can skip re-derivation in later episodes, spending fewer tokens and fewer model calls on constraints they have already le…
Architecture as Capability Equalizer for Coding Agents
Arquimedes Canedo
LLM-based coding agents generate complete software systems from high-level descriptions, yet little is known about how the format of architecture specifications affects the quality…
Oracles That Cannot Fail: Anchoring and the Expectation That Moves With the Fault
Arquimedes Canedo
A test oracle that obtains its expected value from the system it is judging cannot fail. If a fault moves measurement and expectation together the comparison cancels exactly, and n…
Self-Reflective APIs: Structure Beats Verbosity for AI Agent Recovery
Arquimedes Canedo, Grama Chethan
When an AI agent calls an API and hits a validation error, it needs more than what went wrong -- it needs what to do next. A self-reflective API returns, on validation failure, a m…
paper.json: A Coordination Convention for LLM-Agent-Actionable Papers
Arquimedes Canedo
LLM agents routinely serve as first (and sometimes only) readers of academic papers, skimming for sub-claims, extracting reproducibility steps, and generalizing scope. Standard pro…