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Guangxin He

2 accepted papers

2026

UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models

ICLR 2026poster

Diffusion LLMs have attracted growing interest, with plenty of recent work emphasizing their great potential in various downstream tasks; yet the long‑context behavior of diffusion LLMs remains largely uncharted. We present a case study of post‑training techniques for extending the context window of…

Cited by 0SourcecodeScholar
2025

Multi-step Visual Reasoning with Visual Tokens Scaling and Verification

NeurIPS 2025poster

Multi-modal large language models (MLLMs) have achieved remarkable capabilities by integrating visual perception with language understanding, enabling applications such as image-grounded dialogue, visual question answering, and scientific analysis. However, most MLLMs adopt a static inference paradi…

Cited by 0SourcecodeScholar