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Sirui Chen

23 papers hereh-index 588 citations20 works total

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

author position
  • first author6
  • middle author16

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.LG4
  • cs.AI2
  • cs.CV2
  • cs.RO1
same name
  • Sirui Chen — 11 papers, h 3
  • Sirui Chen — 9 papers, h 5
  • Sirui Chen — 7 papers, h 7
  • Sirui Chen — 3 papers, h 2
  • Sirui Chen — 3 papers, h 2
  • Sirui Chen — 3 papers, h 3

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 citedCausal Evaluation of Language Models

3 citations · 7 across the 22 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Safin-1: Safety from Within through Memory-Native State Evolution

Ming Zhang, Kaisen Yang, Shu Yu +15

Long-horizon complex tasks require foundation models to accumulate information, maintain internal states, and adapt over extended interactions. Safety should be an intrinsic proper…

cs.LG2026

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery

Bo Peng, Kaiwen Wu, Sirui Chen +3

Causal discovery from observational data remains challenging due to the fundamental limitations of purely statistical methods, such as statistical distinguishability within equival…

cs.LG2026

CauScale: Neural Causal Discovery at Scale

Bo Peng, Sirui Chen, Jiaguo Tian +2

Causal discovery is essential for advancing data-driven fields such as scientific AI and data analysis, yet existing approaches face significant time- and space-efficiency bottlene…

cs.LG2025

NIRVANA: Structured Pruning Reimagined for Large Language Model Compression

Mengting Ai, Tianxin Wei, Sirui Chen +1

While structured pruning presents a highly effective pathway for accelerating Large Language Model (LLM) inference, existing methods frequently suffer from significant performance…

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