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researcher

Zilong Zheng

14 papers hereh-index 8420 citations17 works total

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

author position
  • middle author6
  • last author7

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.AI2
  • cs.LG2
  • cs.HC1
  • cs.IR1
  • cs.SD1
same name
  • Zilong Zheng — 19 papers, h 17
  • Zilong Zheng — 11 papers, h 9
  • Zilong Zheng — 9 papers, h 6
  • Zilong Zheng — 9 papers, h 6
  • Zilong Zheng — 6 papers, h 1
  • Zilong Zheng — 5 papers, h 2

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
20232026
most citedSparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers

3 citations · 7 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.SD2026

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

Ziyang Ma, Zhikang Niu, Wenming Tu +30

We introduce AuK, an open-source foundational model that unifies speech generation and editing through a common interface of natural-language instructions and audio context. To sup…

cs.AI2026

Xetrieval: Explaining Dense Retrieval through Feature Elicitation

Zhixin Cai, Jun Bai, Yang Liu +7

Dense retrieval enables effective semantic matching, yet the semantic factors underlying its relevance scores remain opaque. Sparse autoencoders (SAEs) support feature-level explan…

cs.LG2026

$OneMillion-Bench: How Far are Language Agents from Human Experts?

Qianyu Yang, Yang Liu, Jiaqi Li +19

As language models (LMs) evolve from chat assistants to long-horizon agents capable of multi-step reasoning and tool use, existing benchmarks remain largely confined to structured…

cs.HC2026

NarrativeLoom: Enhancing Creative Storytelling through Multi-Persona Collaborative Improvisation

Yuxi Ma, Yongqian Peng, Fengyuan Yang +5

Large Language Models show promise for AI-assisted storytelling, yet current tools often generate predictable, unoriginal narratives. To address this limitation, we present Narrati…

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