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Bei Li

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • eess.AS1
same name
  • Bei Li — 10 papers, h 15
  • Bei Li — 7 papers
  • Bei Li — 2 papers
  • Bei Li — 2 papers
  • Bei Li — 1 paper
  • Bei Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2025

Optimizing Speech Multi-View Feature Fusion through Conditional Computation

Weiqiao Shan, Yuhao Zhang, Yuchen Han +7

Recent advancements have highlighted the efficacy of self-supervised learning (SSL) features in various speech-related tasks, providing lightweight and versatile multi-view speech…

cs.CL2025★ 1 cited

SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment

Yuchun Fan, Yongyu Mu, Yilin Wang +7

Despite the significant improvements achieved by large language models (LLMs) in English reasoning tasks, these models continue to struggle with multilingual reasoning. Recent stud…

cs.CL2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context Models

Xinyu Liu, Runsong Zhao, Pengcheng Huang +5

Numerous recent works target to extend effective context length for language models and various methods, tasks and benchmarks exist to measure model's effective memorization length…

cs.CL2024

NDP: Next Distribution Prediction as a More Broad Target

Junhao Ruan, Abudukeyumu Abudula, Xinyu Liu +7

Large language models (LLMs) trained on next-token prediction (NTP) paradigm have demonstrated powerful capabilities. However, the existing NTP paradigm contains several limitation…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.