7 citations · 9 across the 4 of their papers we have counts for
5 papers
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs
Yubo Shu, Zhewei Huang, Xin Wu +3
We propose DialogueReason, a reasoning paradigm that uncovers the lost roles in monologue-style reasoning models, aiming to boost diversity and coherency of the reasoning process.…
Recent Advances in Attack and Defense Approaches of Large Language Models
Jing Cui, Yishi Xu, Zhewei Huang +3
Large Language Models (LLMs) have revolutionized artificial intelligence and machine learning through their advanced text processing and generating capabilities. However, their wid…
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Maxime Gasse, Quentin Cappart, Jonas Charfreitag +38
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolatio…
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation
Zixuan Cao, Yang Xu, Zhewei Huang +1
The Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021 competition aims to improve state-of-the-art combinatorial optimization solvers by replacing key heuristic…
Stroke-based Character Reconstruction
Zhewei Huang, Wen Heng, Yuanzheng Tao +1
Background elimination for noisy character images or character images from real scene is still a challenging problem, due to the bewildering backgrounds, uneven illumination, low r…