Pan Lu

AgentFlow. AgentFlow: In-the-Flow Agentic System Optimization

chameleon-llm. Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

ScienceQA. Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".

dl4math. Resources of deep learning for mathematical reasoning (DL4MATH).

MathVista. MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts

InterGPS. Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"

PromptPG. Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".

ineqmath. Solving Inequality Proofs with Large Language Models.

Eubiota. Python

IconQA. Data and code for NeurIPS 2021 Paper "IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning".

dual-mfa-vqa. Co-attending Regions and Detections for VQA.

rvqa. R-VQA: Visual Question Answering with Relation Facts

basic_vqa-1. Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)

UE4-CheatSheet. An Cheat Sheet for Unreal Engine 4 C++ programming, licensed under CC BY-NC-SA 4.0

textgrad-chameleon. TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

inter-gps. HTML

LM-reasoning. This repository contains a collection of papers and resources on Reasoning in Large Language Models.

pytorch-seq2seq. Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

LeetCode. Constant dripping wears away a stone.

lupantech.github.io. HTML