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researcher

Li An

7 papers hereh-index 338 citations7 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CR2
  • cs.AI1
same name
  • Li An — 1 paper, h 4
  • Li An — 1 paper, h 1

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

most citedHow Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Building AI Research Teams for Autonomous Discovery of Linear Attention Architectures

Yujian Liu, Li An, Zelin He +5

Autonomous agents can increasingly propose ideas, modify code, and run experiments, creating an opportunity to accelerate scientific discovery using teams of collaborative AI resea…

cs.CL2026

Practical Online KV Cache Compaction for LLM Agents: An Empirical Study

Yujian Liu, Jiabao Ji, Li An +4

LLM agents accumulate long trajectories of reasoning steps, tool calls, and environment feedback, making the KV cache a major inference bottleneck. KV cache compaction can reduce t…

cs.CL2026

VISUALSKILL: Multimodal Skills for Computer-Use Agents

Ziyan Jiang, Li An, Yujian Liu +5

Computer-use agents (CUAs) approach human-level performance on standardised benchmarks but still struggle on long-horizon tasks and unseen software. Existing skill libraries addres…

cs.CL2026★ 4 cited

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Yujian Liu, Jiabao Ji, Li An +3

Agent skills, which are reusable, domain-specific knowledge artifacts, have become a popular mechanism for extending LLM-based agents, yet formally benchmarking skill usage perform…

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