Zhuolin Yang

Zhuolin Yang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Zihan Liu, Boxin Wang, Bryan Catanzaro.

3 papers in our library · 2024–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

NVLM: Open Frontier-Class Multimodal LLMs (2024 · 44 citations)
Open multimodal LLMs usually trail proprietary systems such as GPT-4o. Their architectures are rarely compared under equal conditions, and they typically lose text-only skill after vision-language training. NVIDIA's NVLM 1.0 addresses all three issues with three variants trained on one shared, carefully curated data…
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy (2025 · 21 citations)
The paper asks how supervised fine-tuning (SFT) and reinforcement learning (RL) interact when post-training a small LLM for math and code reasoning.
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation (2026 · 16 citations)
Post-training a single LLM across many reasoning and agentic domains is hard. Mixing diverse RL environments can destabilize training, and gains in one area often erode others. Nemotron-Cascade 2 extends NVIDIA's earlier Cascade RL approach, which trains domain by domain in sequence, to address this. The base model…

12 of 13 co-authors with a page, the most papers together first.

Papers of our library cite their works 79 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated 30 October 2026