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Siyu Yan

8 papers hereh-index 335 citations10 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV2
  • cs.AI1
  • cs.LG1
same name
  • Siyu Yan — 3 papers, h 2
  • Siyu Yan — 2 papers, h 1
  • Siyu Yan — 2 papers, h 4
  • Siyu Yan — 1 paper, h 4

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
benchmark evaluation 1intermediate visual states 1large language models 1multimodal models 1visual reasoning 1

From the 1 of 8 linked papers with an AI index.

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

A Survey of Inductive Reasoning for Large Language Models

Kedi Chen, Dezhao Ruan, Yuhao Dan +12

Reasoning is an important task for large language models (LLMs). Among all the reasoning paradigms, inductive reasoning is one of the fundamental types, which is characterized by i…

cs.CL2026

Eliciting Trustworthiness Priors of Large Language Models via Economic Games

Siyu Yan, Lusha Zhu, Jian-Qiao Zhu

One critical aspect of building human-centered, trustworthy artificial intelligence (AI) systems is maintaining calibrated trust: appropriate reliance on AI systems outperforms bot…

cs.CL2025

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models

Chang Wang, Siyu Yan, Depeng Yuan +8

The generation of ad headlines plays a vital role in modern advertising, where both quality and diversity are essential to engage a broad range of audience segments. Current approa…

cs.CL2025

AgentRM: Enhancing Agent Generalization with Reward Modeling

Yu Xia, Jingru Fan, Weize Chen +7

Existing LLM-based agents have achieved strong performance on held-in tasks, but their generalizability to unseen tasks remains poor. Hence, some recent work focus on fine-tuning t…

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