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researcher

Xinyu Lin

23 papers hereh-index 161.1k citations42 works total

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

author position
  • first author8
  • middle author15

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.IR17
  • cs.AI3
  • cs.CL3
same name
  • Xinyu Lin — 2 papers, h 3
  • Xinyu Lin — 1 paper, h 1
  • Xinyu Lin — 1 paper, h 5
  • Xinyu Lin — 1 paper, h 3
  • Xinyu Lin — 1 paper, h 11

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

works on
cross-domain context 1decision-aware modeling 1large language models 1online advertising 1reinforcement learning 1user simulation 1

From the 1 of 23 linked papers with an AI index.

activity
20242026
most citedAlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2026★ 1 cited

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

Jianfei Xiao, Xiang Yu, Chengbing Wang +8

As Large Language Models (LLMs) evolve into lifelong AI assistants, LLM personalization has become a critical frontier. However, progress is currently bottlenecked by the absence o…

cs.CL2026

TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems

Chen Xu, Yicheng Hu, Ruizi Wang +4

Multi-agent systems (MAS) have emerged as a promising paradigm for solving complex tasks. Recent work has explored self-evolving MAS that automatically optimize agent capabilities…

cs.CL2026

Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery

Chaoqun Yang, Xinyu Lin, Shulin Li +4

Recent advancements in Large Language Model (LLM) agents have demonstrated remarkable potential in automatic knowledge discovery. However, rigorously evaluating an AI's capacity fo…

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