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Yang Bai

4 papers hereh-index 433 citations9 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.LG1
same name
  • Yang Bai — 32 papers, h 36
  • Yang Bai — 8 papers
  • Yang Bai — 8 papers, h 2
  • Yang Bai — 6 papers
  • Yang Bai — 6 papers, h 3
  • Yang Bai — 5 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 citedEH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow

5 citations · 5 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

ComBodied Agents: a New Paradigm of Human-Centric Agentic AI

Qianggang Ding, Xingyao Wang, Rui Feng +19

After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person fo…

cs.CV2026

Advantage-Guided Gate: Reshaping Open-Ended Reasoning for Vision-Based Spatial Intelligence

Ling Lin, Yang Bai, Congcong Zhu +6

Multimodal large language models (MLLMs) have demonstrated significant potential in complex spatial scene understanding and reasoning tasks. However, their open-ended reasoning pro…

cs.LG2025

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition

Ilker Demirel, Karan Thakkar, Benjamin Elizalde +7

Sensor data streams provide valuable information around activities and context for downstream applications, though integrating complementary information can be challenging. We show…

cs.CL2025★ 5 cited

EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow

Xiaoyu Pan, Yang Bai, Ke Zou +5

Medical Large Language Models (MLLMs) play a crucial role in ophthalmic diagnosis, holding significant potential to address vision-threatening diseases. However, their accuracy is…

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