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Home/Authors/Guy Van den Broeck

Guy Van den Broeck

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

ML×1AI×1NLP×1

Frequent co-authors

Heng Zhao1×
Zilei Shao1×
Zhe Zeng1×
Meihua Dang1×
Linxin Song1×
Honghua Zhang1×

Research Timeline

2026
ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts

The paper introduces ProbMoE, a probabilistic routing framework that tackles the non-differentiability of top-$k$ routing in Mixture-of-Experts (MoE) models, achieving strong performance with improved expert utilization.

Mitigating Bias in Locally Constrained Decoding via Tractable Proposals

The paper proposes a novel probabilistic globally constrained decoding (P-GCD) method that efficiently constructs proposals for locally constrained decoding, significantly improving convergence speed and performance compared to existing approaches.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIRecentJun 1, 2026

ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts

Heng Zhao, Zilei Shao, Guy Van den Broeck, Zhe Zeng

The paper introduces ProbMoE, a probabilistic routing framework that tackles the non-differentiability of top-$k$ routing in Mixture-of-Experts (MoE) models, achieving strong performance with improved…

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cs.CLRecentJun 1, 2026

Mitigating Bias in Locally Constrained Decoding via Tractable Proposals

Meihua Dang, Linxin Song, Honghua Zhang, Jieyu Zhao +2 more

The paper proposes a novel probabilistic globally constrained decoding (P-GCD) method that efficiently constructs proposals for locally constrained decoding, significantly improving convergence speed…

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