Official code for ACL2025 "🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"
-
Updated
Dec 22, 2025 - JavaScript
Official code for ACL2025 "🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"
smallevals — CPU-fast, GPU-blazing fast offline retrieval evaluation for RAG systems with tiny QA models.
Official codebase for the ACL 2025 Findings paper: Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval.
Validate TREC qrels and runs in CI; explore a MiniLM browser lab and FAISS + DeBERTa product-search pipeline.
Published PyPI package for ArXiv embedding benchmarks, retrieval evaluation, and scientific RAG experiments.
Local-first YouTube transcript retrieval lab comparing E5 + FAISS, Japanese BM25, hybrid, and agentic search with timestamped evidence and evaluation.
Bilingual RAG evaluation benchmark for culturally grounded English/Uzbek retrieval
Open-source retrieval diagnostics toolkit for enterprise RAG pipelines
RAG retrieval benchmark runner with JSON reports, Pareto plots, and regression gates for retrieval quality changes.
Local-first memory infrastructure for coding workflows: deterministic retrieval, explainable traces, MCP/REST/SDK interfaces, and standalone browser-first operation.
Deterministic RAG evaluation toolkit -- retrieval metrics (recall, precision, MRR), corpus overlap detection, and CI regression gating without model calls.
Human-verified evaluation for RAG, policies, search quality, model versions, and AI agents.
A systems-level analysis of static RAG pipelines, isolating ingestion, retrieval, and ranking boundaries to expose structural failure modes before generation.
A controlled experiment evaluating whether hybrid (dense + sparse) retrieval surfaces evidence that dense-only RAG systems misrank—without changing generation behavior.
Active web-search RAG workbench with provider routing, source extraction, citation verification, and extractive fallback.
Score chunking configs by whether gold answer spans stay retrievable, in character span space
RAG chatbot over the WHO/PPRI pharmaceutical glossary - Gemini/Ollama behind a factory, ChromaDB, Streamlit; evaluated with hit@k vs a BM25 baseline, RAGAS, and refusal checks
Advanced research engineering portfolio for Yin Li: LLM systems, evaluation, post-training, retrieval, and agent traces.
CI gate that blocks a pull request when RAG retrieval quality regresses and confirms when a change genuinely improved it, using a paired bootstrap so small-golden-set noise cannot cry wolf. Held-out recall@5 0.9535, and all 50 README numbers are re-measured by CI.
Add a description, image, and links to the retrieval-evaluation topic page so that developers can more easily learn about it.
To associate your repository with the retrieval-evaluation topic, visit your repo's landing page and select "manage topics."