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researcher

Yiwei Wang

38 papers hereh-index 13490 citations43 works total

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

author position
  • first author1
  • middle author33
  • last author1

Across the 35 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.AI8
  • cs.CV4
  • cs.HC2
  • cs.SD2
  • cs.CR1
same name
  • Yiwei Wang — 52 papers, h 9
  • Yiwei Wang — 26 papers, h 17
  • Yiwei Wang — 15 papers, h 18
  • Yiwei Wang — 15 papers, h 5
  • Yiwei Wang — 13 papers, h 7
  • Yiwei Wang — 9 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 citedA Survey of Context Engineering for Large Language Models

13 citations · 29 across the 37 of their papers we have counts for

collaborators
Showing 2026 · cs.CLShow all

4 papers · 2 filters

cs.CL2026

Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation

Shanshan Lyu, Yiwei Wang, Yujun Cai +2

Dense retrieval ranks one query vector against one document vector. On long documents, this interface can fail when a short but decisive span is weakened during document encoding b…

cs.CL2026

How Creative Are Large Language Models in Generating Molecules?

Wen Tao, Yiwei Wang, Peng Zhou +6

Molecule generation requires satisfying multiple chemical and biological constraints while searching a large and structured chemical space. This makes it a non-binary problem, wher…

cs.CL2026

PRISM-Δ: Differential Subspace Steering for Prompt Highlighting in Large Language Models

Yuyao Ge, Shenghua Liu, Yiwei Wang +5

Prompt highlighting steers a large language model to prioritize user-specified text spans during generation. A key challenge of existing Key-editing approaches is extracting steeri…

cs.CL2026

Gated Differentiable Working Memory for Long-Context Language Modeling

Lingrui Mei, Shenghua Liu, Yiwei Wang +7

Long contexts challenge transformers: attention scores dilute across thousands of tokens, critical information is often lost in the middle, and models struggle to adapt to novel pa…

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