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Ruizhe Li

School of Artificial Intelligence and Data Science, University of Science and Technology of China

4 papers hereh-index 342 citations4 works total

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • School of Artificial Intelligence and Data Science, University of Science and Technology of China
ORCID 0009-0007-6816-5302
same name
  • Ruizhe Li — 8 papers, h 7
  • Ruizhe Li — 7 papers, h 2
  • Ruizhe Li — 5 papers, h 3
  • Ruizhe Li — 4 papers, h 1
  • Ruizhe Li — 3 papers, h 3
  • Ruizhe Li — 3 papers, h 2

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

4 papers

cs.CL2026

When Your Agent Opens the Chat App: Agent-Controlled Search over Raw Chat Logs Rivals Structured Memory

Ruizhe Li, Licheng Zhang, Benfeng Xu +3

Agent-memory systems increasingly buy retrieval quality with structure, transforming raw conversation histories into summaries, embeddings, trees, or knowledge graphs before any qu…

cs.CL2026

Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory

Ruizhe Li, Mingxuan Du, Benfeng Xu +1

Long-term memory systems store what a user says in an external store and retrieve it when a related query arrives. This interface rests on an assumption so natural that it is rarel…

cs.CL2026

DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report

Ruizhe Li, Mingxuan Du, Benfeng Xu +3

Deep Research Systems (DRS) aim to help users search the web, synthesize information, and deliver comprehensive investigative reports. However, how to rigorously evaluate these sys…

cs.CL2025

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Ruizhe Li, Chiwei Zhu, Benfeng Xu +2

Creative writing is a key capability of Large Language Models (LLMs), with potential applications in literature, storytelling, and various creative domains. However, evaluating the…

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