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researcher

Kun Li

10 papers hereh-index 6138 citations14 works total

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

author position
  • first author4
  • middle author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.MA1
same name
  • Kun Li — 46 papers, h 21
  • Kun Li — 18 papers, h 6
  • Kun Li — 16 papers, h 6
  • Kun Li — 14 papers, h 4
  • Kun Li — 13 papers, h 6
  • Kun Li — 12 papers, h 25

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
20232026
most citedSGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting

2 citations · 3 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

PARSER: Read in Parallel, Reason in Depth for Long-Context LLM Agents

Kun Li, Zexuan Qiu, Tianhua Zhang +2

Sequential memory agents process long documents by reading chunks one after another while maintaining a compact memory state, coupling document traversal to reasoning depth. This c…

cs.CL2026

TriggerBench: Investigating Prospective Memory for Large Language Models

Tianhua Zhang, Xinjiang Wang, Qianxi Zhang +6

While Large Language Models (LLMs) are increasingly deployed in long interactions, existing evaluations focus predominantly on retrospective memory (RM) via explicit queries. Prosp…

cs.MA2026

Agentic Cognitive Profiling: Realigning Automated Alzheimer's Disease Detection with Clinical Construct Validity

Jiawen Kang, Kun Li, Dongrui Han +5

Automated Alzheimer's Disease (AD) screening has predominantly followed the inductive paradigm of pattern recognition, which directly maps the input signal to the outcome label. Th…

cs.CL2026

TreePS-RAG: Tree-based Process Supervision for Reinforcement Learning in Agentic RAG

Tianhua Zhang, Kun Li, Junan Li +5

Agentic retrieval-augmented generation (RAG) formulates question answering as a multi-step interaction between reasoning and information retrieval, and has recently been advanced b…

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