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researcher

Qing Li

7 papers hereh-index 361 citations7 works total

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

author position
  • middle author2
  • last author5

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

fields
  • cs.CL4
  • cs.AI2
  • cs.LG1
same name
  • Qing Li — 43 papers, h 56
  • Qing Li — 30 papers, h 15
  • Qing Li — 22 papers, h 16
  • Qing Li — 18 papers, h 7
  • Qing Li — 16 papers, h 19
  • Qing Li — 15 papers, h 23

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 citedEntity Alignment with Noisy Annotations from Large Language Models

3 citations · 4 across the 6 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

Molecular LLM Agents: From Architectural Design to Scientific Autonomy

Jiatong Li, Wengyu Zhang, Weida Wang +8

Molecular science represents an important frontier for LLM-based agents. Unlike general agents that mainly operate over natural language, code, or web environments, molecular LLM a…

cs.AI2026

DeAR: Decentralized Agentic Reasoning via Capability Grounding and Collaborative Thought Navigation

Xing Wei, Changmeng Zheng, XiaoYong Wei +2

Existing agentic reasoning systems typically rely on centralized protocols. This design introduces routing bottlenecks and static role allocations that often fail when handling com…

cs.AI2026

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning

Qi Peng, Jiatong Li, Sirui Huang +10

Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress…

cs.LG2026

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis

Jiatong Li, Weida Wang, Changmeng Zheng +4

Large Language Models (LLMs) have recently shown promise in molecular discovery, yet a gap remains between their probabilistic nature over discrete sequential tokens and the rigid…

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