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researcher

Rui Li

14 papers hereh-index 9773 citations16 works total

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

author position
  • first author4
  • middle author9

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI7
  • cs.CL4
  • cs.LG2
  • cs.SI1
same name
  • Rui Li — 29 papers, h 76
  • Rui Li — 17 papers, h 8
  • Rui Li — 13 papers, h 8
  • Rui Li — 12 papers, h 6
  • Rui Li — 12 papers, h 15
  • Rui Li — 12 papers, h 5

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 citedA Survey on the Memory Mechanism of Large Language Model based Agents

11 citations · 14 across the 11 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

HAPS: Hierarchical LLM Routing with Joint Architecture and Parameter Search

Zihang Tian, Rui Li, Jingsen Zhang +3

Large language model (LLM) routing aims to exploit the specialized strengths of different LLMs for diverse tasks. However, existing approaches typically focus on selecting LLM arch…

cs.CL2025

CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension

Rui Li, Zeyu Zhang, Xiaohe Bo +5

Current Large Language Models (LLMs) are confronted with overwhelming information volume when comprehending long-form documents. This challenge raises the imperative of a cohesive…

cs.CL2025

Prompt and Parameter Co-Optimization for Large Language Models

Xiaohe Bo, Rui Li, Zexu Sun +5

Prompt optimization and fine-tuning are two major approaches to improve the performance of Large Language Models (LLMs). They enhance the capabilities of LLMs from complementary pe…

cs.CL2025

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

Rui Li, Quanyu Dai, Zeyu Zhang +3

Recent advances in retrieval-augmented generation (RAG) furnish large language models (LLMs) with iterative retrievals of relevant information to handle complex multi-hop questions…

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