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Bowen Yang

6 papers here

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

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI1
  • cs.LG1
same name
  • Bowen Yang — 14 papers, h 46
  • Bowen Yang — 7 papers
  • Bowen Yang — 4 papers
  • Bowen Yang — 4 papers
  • Bowen Yang — 3 papers
  • Bowen Yang — 3 papers

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

activity
20242026
most citedALR2: A Retrieve-then-Reason Framework for Long-context Question Answering

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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

Command A: An Enterprise-Ready Large Language Model

Team Cohere, :, Aakanksha +227

In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…

cs.CL2025

Rope to Nope and Back Again: A New Hybrid Attention Strategy

Bowen Yang, Bharat Venkitesh, Dwarak Talupuru +4

Long-context large language models (LLMs) have achieved remarkable advancements, driven by techniques like Rotary Position Embedding (RoPE) (Su et al., 2023) and its extensions (Ch…

cs.CL2024

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier

John Dang, Shivalika Singh, Daniel D'souza +42

We introduce the Aya Expanse model family, a new generation of 8B and 32B parameter multilingual language models, aiming to address the critical challenge of developing highly perf…

cs.CL2024★ 1 cited

ALR2: A Retrieve-then-Reason Framework for Long-context Question Answering

Huayang Li, Pat Verga, Priyanka Sen +5

The context window of large language models (LLMs) has been extended significantly in recent years. However, while the context length that the LLM can process has grown, the capabi…

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