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Yankai Lin

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CL2
  • cs.LG1
  • cs.SI1
same name
  • Yankai Lin — 25 papers, h 40
  • Yankai Lin — 19 papers
  • Yankai Lin — 15 papers
  • Yankai Lin — 9 papers
  • Yankai Lin — 6 papers
  • Yankai Lin — 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

most citedTrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

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

collaborators

4 papers

cs.LG2025

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Fengqi Zhu, Rongzhen Wang, Shen Nie +8

While Masked Diffusion Models (MDMs), such as LLaDA, present a promising paradigm for language modeling, there has been relatively little effort in aligning these models with human…

cs.CL2025

DeepCritic: Deliberate Critique with Large Language Models

Wenkai Yang, Jingwen Chen, Yankai Lin +1

As Large Language Models (LLMs) are rapidly evolving, providing accurate feedback and scalable oversight on their outputs becomes an urgent and critical problem. Leveraging LLMs as…

cs.CL2025

Large Language Diffusion Models

Shen Nie, Fengqi Zhu, Zebin You +7

The capabilities of large language models (LLMs) are widely regarded as relying on autoregressive models (ARMs). We challenge this notion by introducing LLaDA, a diffusion model tr…

cs.SI2024★ 2 cited

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

Zeyu Zhang, Jianxun Lian, Chen Ma +9

Trending topics have become a significant part of modern social media, attracting users to participate in discussions of breaking events. However, they also bring in a new channel…

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