共计 29 篇文章
2026
论文理解【LLM-OR】—— 【PaMOP】Guiding large language models in modeling optimization problems via question partitioning
2025
论文理解【LLM-OR】——【ORLM】Training Large Language Models for Optimization Modeling
论文理解【LLM-OR】——【OptiTree】Hierarchical thoughts generation with tree search for LLM optimization model
论文理解 【LLM-RL】—— Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model
论文理解【LLM-回归】—— Decoding-based Regression
论文理解【LLM-回归】——【RAFT】Better autoregressive regression with LLMs via regression-aware fine-tuning
论文理解【LLM-回归】——【NTL】Regress, Don‘t Guess--A Regression-like Loss on Number Tokens for Language Model
论文理解【CV-对比学习】——【BYOL】Bootstrap Your Own Latent-A New Approach to Self-Supervised Learning
论文理解【CV-对比学习】——【SimCLR】A Simple Framework for Contrastive Learning of Visual Representations
论文理解【Vision Transformer】—— 【MAE】Masked Autoencoders Are Scalable Vision Learners