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researcher

Xin Li

26 papers hereh-index 6127 citations32 works total

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

author position
  • sole author16
  • first author2
  • middle author7
  • last author1

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.LG7
  • q-bio.NC6
  • cs.AI1
  • cs.CV1
  • cs.NE1
same name
  • Xin Li — 66 papers, h 21
  • Xin Li — 42 papers, h 19
  • Xin Li — 36 papers, h 23
  • Xin Li — 32 papers, h 23
  • Xin Li — 26 papers, h 21
  • Xin Li — 25 papers, h 7

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
20112026
most citedEvaluating Large Language Models on Multimodal Chemistry Olympiad Exams

4 citations · 7 across the 25 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data

Xin Li, Jin Li, Shoujin Wang +2

Causal discovery from unstructured data is a challenging yet underexplored task in high-expertise domains such as healthcare, finance, and education. Existing methods typically lev…

cs.CL2026

Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters

Ailin Huang, Ang Li, Aobo Kong +213

We introduce Step 3.5 Flash, a sparse Mixture-of-Experts (MoE) model that bridges frontier-level agentic intelligence and computational efficiency. We focus on what matters most wh…

cs.LG2026

Structural Learning Theory: A Metric-Topology Factorization Approach

Xin Li

Learning in structured, multi-context, or non-stationary environments involves two orthogonal difficulties. The first is \emph{metric}: once the correct context is known, how hard…

cs.AI2026

Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities

Shuangshuang Ying, Zheyu Wang, Yunjian Peng +16

Despite strong performance on existing benchmarks, it remains unclear whether large language models can reason over genuinely novel scientific information. Most evaluations score e…

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