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Salman Khan

ICLR 2026×6ACL 2026×3AAAI 2026CVPR 2026多模态评测与基准智能体与工具推理数据与预训练
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0 一作 · 11 篇 · ICLR 2026 / ACL 2026 / AAAI 2026 / CVPR 2026

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2026 顶会论文

11
作者位次 #7/8ACL 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
作者位次 #3/5ACL 2026Poster· Natural Language Processing

Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework

Komal Kumar · Aman Chadha · Salman Khan · Fahad Shahbaz Khan · Hisham Cholakkal

摘要

The rapid growth of scientific literature has made it increasingly difficult for researchers to efficiently discover, evaluate, and synthesize relevant work. Recent advances in multi-agent large language models (LLMs) have demonstrated strong potential for understanding user intent and are being...

检索与知识智能体与工具评测与基准OpenReview 项目页
作者位次 #3/5ACL 2026Poster· Natural Language Processing

GCA Framework: A GCC Countries–Grounded Dataset and Agentic Pipeline for Climate Decision Support

Muhammad Umer Sheikh · Khawar shehzad · Salman Khan · Fahad Shahbaz Khan · Muhammad Haris Khan

摘要

Climate decision-making in the GCC states increasingly demands systems that can translate heterogeneous scientific and policy evidence into actionable guidance, yet general-purpose large language models (LLMs) remain weak both in region-specific climate knowledge and grounded interaction with geo...

多模态智能体与工具可解释性OpenReview 项目页

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