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Xuanhua Shi

AwardAAAI 2026ACL 2026ICLR 2026ISCA 2026MICRO 2026OSDI 2026效率与系统长上下文与架构多模态理论与学习动力学数据与预训练
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0 一作 · 6 篇 · AAAI 2026 / ACL 2026 / ICLR 2026 / ISCA 2026 / MICRO 2026 / OSDI 2026

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2026 顶会论文

6
作者位次 #9/11OSDI 2026Oral· Operating Systems & Distributed Systems

Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous MoE Training (Operational Systems)

Weifang Hu · Langshi Chen · Man Yuan · Youyang Yao · Xiulong Yuan · Li Tian · Yong Li · Wei Lin · Xuanhua Shi · Zhengping Qian · Jingren Zhou

摘要

Training trillion-parameter models relies on pipeline parallelism to scale across thousands of accelerators. However, architectures exemplified by the Qwen family are evolving from uniform Transformer blocks into heterogeneous compositions that combine sparse Mixture-of-Experts (MoE) with differe...

效率与系统数据与预训练长上下文与架构OpenReview
作者位次 #2/3ACL 2026OralBest Theme Paper· Natural Language Processing

C o ST o M : Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models

Mengfan Li · Xuanhua Shi · Yang Deng

摘要

Theory of Mind (ToM), the ability to attribute mental states to others, is a hallmark of social intelligence. While large language models (LLMs) demonstrate promising performance on standard ToM benchmarks, we observe that they often fail to generalize to complex task-specific scenarios, relying...

可解释性社会与人本理论与学习动力学OpenReview 项目页
作者位次 #2/3AAAI 2026Poster· Artificial Intelligence

RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems

Mengfan Li · Xuanhua Shi · Yang Deng

评测与基准理论与学习动力学OpenReview

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