Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"

[NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes

This repo contains detailed notes on LangSmith concepts including traces, runs, observability, and integrations with LangChain, RAG, and LangGraph.