SGKR uses function-call dependency graphs to retrieve structured code knowledge, improving LLM correctness on multi-step data reasoning benchmarks over similarity baselines.
Llm/agent-as-data-analyst: A survey
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 4roles
background 1polarities
background 1representative citing papers
EvoDS adds autonomous skill acquisition via synthesis-validation-reuse and adaptive context compression via learned control within a two-stage multi-agent RL scheme, claiming 28.9% average gains over prior agents on four benchmarks plus elimination of out-of-token failures.
K-Token Merging compresses LLM inputs by merging blocks of K token embeddings in latent space, achieving up to 75% length reduction with minimal performance drop on reasoning, classification, and code tasks.
A literature survey that taxonomizes methods, datasets, and evaluation practices for natural language interfaces to geospatial and temporal databases while identifying recurring trends and future directions.
citing papers explorer
No citing papers match the current filters.