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Caiwen Ding

17 papers hereh-index 687 citations18 works total

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

author position
  • middle author7
  • last author9

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.AI7
  • cs.LG3
  • cs.AR1
  • cs.CE1
  • cs.CR1
  • cs.CV1
same name
  • Caiwen Ding — 76 papers, h 35
  • Caiwen Ding — 12 papers, h 6
  • Caiwen Ding — 6 papers, h 2
  • Caiwen Ding — 6 papers, h 2
  • Caiwen Ding — 3 papers
  • Caiwen Ding — 3 papers, h 4

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 citedMACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

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

collaborators
Showing 2026 · cs.AIShow all

4 papers · 2 filters

cs.AI2026

2d-fet-bench: from spatial reasoning to fet design on flakes

Dunzhi Zhou, Chengyu Zhu, Gang Qiu +1

Field-effect transistor (FET) layouts on exfoliated two-dimensional flakes are typically drawn by hand for each flake, placing contacts and gates to match its position and outline…

cs.AI2026

Fork Where the Model Changes Its Mind: Belief-Shift Branching for Tree-Structured Reinforcement Learning

Bin Lei, Yu Li, Prafulla Kumar Choubey +7

Tree-structured rollouts give critic-free reinforcement learning with verifiable rewards (RLVR) step-level credit: fork a chain at an intermediate point, and sibling outcome differ…

cs.AI2026

QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction

Winson Chen, Yuqi Zhang, Sixu Chen +3

Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these coefficients by hand…

cs.AI2026

Stateful Reasoning via Insight Replay

Bin Lei, Caiwen Ding, Jiachen Yang +2

Chain-of-Thought (CoT) reasoning has become a foundation for eliciting multi-step reasoning in large language models, but recent studies show that its benefits do not scale monoton…

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