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Lingling Zhang

7 papers hereh-index 322 citations13 works total

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

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL2
  • cs.LG1
same name
  • Lingling Zhang — 16 papers, h 20
  • Lingling Zhang — 3 papers, h 3
  • Lingling Zhang — 2 papers
  • Lingling Zhang — 1 paper, h 0
  • Lingling Zhang — 1 paper, h 3
  • Lingling Zhang — 1 paper

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

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Beyond Retrieval: Query-Conditioned Reuse of Long-Horizon Agent Trajectories

Yifei Li, Heng Wang, Lingling Zhang +5

Retrieval can identify a past trajectory that may matter, yet it does not specify how an acting agent should use that trajectory after users, entities, constraints, or environment…

cs.AI2026

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems

Shihao Qi, Jie Ma, Rui Xing +15

LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use, yet remain limited when tasks require sustained coordination across roles, t…

cs.AI2026

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines

Yumeng Fu, Jiayin Zhu, Lingling Zhang +5

Geometry problem solving (GPS) poses significant challenges for Multimodal Large Language Models (MLLMs) in diagram comprehension, knowledge application, long-step reasoning, and a…

cs.AI2026

LogicGraph : Benchmarking Multi-Path Logical Reasoning via Neuro-Symbolic Generation and Verification

Yanrui Wu, Lingling Zhang, Xinyu Zhang +5

Evaluations of large language models (LLMs) primarily emphasize convergent logical reasoning, where success is defined by producing a single correct proof. However, many real-world…

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