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A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
Code for visualizing the loss landscape of neural nets
Attention based model for learning to solve different routing problems
Lists the papers related to imbalance problems in object detection [TPAMI]
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
优质稳定的OpenAI、Gemini、Claude等的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持Anthropic claude的官方接口形式，支持Google gemini的官方接口形式，支持：gpt-5，sora。不需要openai Key, 不需要买openai的账号，不需要美元的银行卡，通通不用的，直接调用就行，稳定好用！！智增增
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
MarkLLM: An Open-Source Toolkit for LLM Watermarking.（EMNLP 2024 System Demonstration)
Recent research papers about Foundation Models for Combinatorial Optimization
A Collection on Large Language Models for Optimization
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Solving tsp (travel sales problem) using ruin & recreate method.
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
The Lin-Kernighan Heuristic implemented in python