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AMD research papers

Company · 6 papers · 13 citations · latest Sep 2026 3 weeks ago

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6 of 6 papers, newest first

PaperCitations
Instella-MoE Technical ReportInstella-MoE is an open Mixture-of-Experts language model trained on AMD GPUs using sparse activation, Gated Multi-head Latent Attention, and multi-stage post-training to achieve strong benchmark performance with full reproducibility.Foundation models · Sep 2026 · Unverified3 weeks ago0
Stabilizing Efficient Reasoning with Step-Level Advantage SelectionShort-context post-training induces reasoning compression but causes instability; Step-level Advantage Selection addresses this by selectively adjusting reasoning steps based on confidence and verification outcomes, improving accuracy-efficiency trade-off in reasoning tasks.Reasoning · Apr 2026 · Unverified5 months ago1
Dynamic Chunking Diffusion TransformerDynamic Chunking Diffusion Transformer adapts token sequence length based on image content and diffusion timestep, improving efficiency and performance over fixed-token approaches.Architectures · Mar 2026 · Unverified6 months ago2
DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and InferenceDUET-VLM presents a dual compression framework that reduces visual tokens while maintaining high accuracy in vision-language models through coordinated vision and language backbone processing.Inference and efficiency · Feb 2026 · Unverified7 months ago0
Instella: Fully Open Language Models with Stellar PerformanceInstella, a family of fully open large language models, achieves state-of-the-art performance using open data and is competitive with leading open-weight models, with specialized variants for long context and mathematical reasoning.Alignment and safety · Nov 2025 · Unverified10 months ago6
XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language ModelsXModBench evaluates cross-modal consistency in OLLMs, revealing challenges in spatial and temporal reasoning, modality disparities, and directional imbalance.Agents and evaluation · Oct 2025 · Unverified11 months ago4
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