---
title: "Boxin Wang — papers of 2026 — 2 papers, the most cited first"
description: "Boxin Wang — papers of 2026: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/boxin-wang/year/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/boxin-wang/year/2026/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Boxin Wang](https://md.research.elamur.ai/free/en/authors/boxin-wang/) / 2026

# Boxin Wang — papers of 2026 — 2 papers, the most cited first

2 papers · [all years of Boxin Wang](https://md.research.elamur.ai/free/en/authors/boxin-wang/#years)

- [Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation arXiv:2603.19220](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/) — Zhuolin Yang, Zihan Liu, Yang Chen, et al. · 2026 · 16 citations

**[From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-128k-4m-efficient-training-ultra/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chejian Xu, Wei Ping, Peng Xu, et al.*2026 · 5 citations*