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Mukul Ranjan

ACL 2026×2CVPR 2026ICLR 2026多模态社会与人本评测与基准效率与系统代码
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1 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #2/3ICLR 2026Poster· Deep Learning / Generative Models and Autoencoders

Attention Is All You Need for KV Cache in Diffusion LLMs

Quan Nguyen-Tri · Mukul Ranjan · Zhiqiang Shen

效率与系统OpenReview
作者位次 #5/8ACL 2026Poster· Natural Language Processing

CASS : Nvidia to AMD Transpilation with Data, Models, and Benchmark

Ahmed Heakl · Gustavo Bertolo Stahl · Sarim Hashmi · Seung Hun Eddie Han · Mukul Ranjan · Arina Kharlamova · Salman Khan · Abdulrahman Mahmoud

摘要

Cross-architecture GPU code transpilation is essential for unlocking low-level hardware portability, yet no scalable solution exists. We introduce CASS, the first dataset and model suite for source- and assembly-level GPU translation (CUDA ↔ HIP, SASS ↔ RDNA3). CASS contains 60k verified host-dev...

代码评测与基准对齐与偏好OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

On the Cultural Anachronism and Temporal Reasoning in Vision Language Models

Mukul Ranjan · Prince Jha · Khushboo Kumari · Zhiqiang Shen

摘要

Vision-Language Models (VLMs) are increasingly applied to cultural heritage materials, from digital archives to educational platforms. This work identifies a fundamental issue in how these models interpret historical artifacts. We define this phenomenon as cultural anachronism, the tendency to mi...

多模态评测与基准社会与人本OpenReview 项目页

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