An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
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Updated
Nov 17, 2023 - Python
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
Dantzig-Wolfe series of decomposition and reformulation algorithm to solve MILP
Our CIKM21 Paper "Incorporating Query Reformulating Behavior into Web Search Evaluation"
[ACL 2025] Repository for our paper "DRS: Deep Question Reformulation With Structured Output".
Official implementation of "FLARE: Verifying MILP Reformulations with LLM-Based Theorem Proving"
A Large Language Models (LLM) oriented project providing easy-to-use features like RAG, translation, summarization, ...
An open-source LLM for food product development
Reformulation of LBP through Convolutional Filters in Python using the TensorFlow framework
Evidence-first ingredient label history and reformulation diffs.
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