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Ruizhe Li

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

2 papers hereh-index 342 citations5 works total

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

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.IR1
affiliations
  • School of Artificial Intelligence and Data Science, University of Science and Technology of China
ORCID 0009-0007-6816-5302
same name
  • Ruizhe Li — 10 papers, h 7
  • Ruizhe Li — 7 papers, h 13
  • Ruizhe Li — 5 papers
  • Ruizhe Li — 3 papers, h 2
  • Ruizhe Li — 3 papers
  • Ruizhe Li — 2 papers

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
Showing cs.CLShow all

4 papers · 1 filter

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 Reports

Ruizhe Li, Mingxuan Du, Benfeng Xu +3

Deep Research Agents (DRA) aim to help users search the web, synthesize information, and deliver comprehensive investigative reports. Prior benchmarks often either under-evaluate a…

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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