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Author

Yifan Mai

Observed name: Mai, Yifan
Institution: Stanford University
Observed institution: Stanford University
ORCID: 0000-0002-4807-037X
Observed ORCID: 0000-0002-4807-037X
OpenAlex ID: A5006623234
Holistic Evaluation of Language Models
2022 · Liang, Percy, Bommasani, Rishi, et al. · arXiv (Cornell University) · 254
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VHELM: A Holistic Evaluation of Vision Language Models
2024 · Tony Lee, Haoqin Tu, et al. · neural information processing systems · 17
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MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
2025 · Bedi, Suhana, Cui, Hejie, et al. · arXiv (Cornell University) · 11
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Characterizing Delusional Spirals through Human-LLM Chat Logs
2026 · Moore, Jared, Mehta, Ashish, et al. · arXiv (Cornell University) · 7
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AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
2024 · Yi Zeng, Yu Yang Yang, et al. · SuperIntelligence - Robotics - Safety & Alignment · 7
Introducing v0.5 of the AI Safety Benchmark from MLCommons
2024 · Vidgen, Bertie, Agrawal, Adarsh, et al. · arXiv (Cornell University) · 5
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Language model developers should report train-test overlap
2024 · Zhang, Andy K, Klyman, Kevin, et al. · arXiv (Cornell University) · 3
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Expert Evaluation of Clinical AI Tools on Real Point-of-Care Clinical Queries
2026 · Feng, Jean, Patel, Vishal, et al. · arXiv (Cornell University) · 2
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Evaluating Large Language Models with Enterprise Benchmarks
2025 · Bing Zhang, Mikio Takeuchi, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2
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AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
2024 · Yi Zeng, Yu Yang Yang, et al. · AGI - Artificial General Intelligence - Robotics - Safety & Alignment · 2
AHELM: A Holistic Evaluation of Audio-Language Models
2025 · Lee, Tony, Tu, Haoqin, et al. · arXiv (Cornell University) · 1
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The Mighty ToRR: A Benchmark for Table Reasoning and Robustness
2025 · Ashury-Tahan, Shir, Mai, Yifan, et al. · arXiv (Cornell University) · 1
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DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots
2026 · Moore, Jared, Mock, Andrea, et al. · arXiv (Cornell University)
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Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
2026 · Batzner, Jan, Nelaturu, Sree Harsha, et al. · arXiv (Cornell University)
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Adaptive auditing of AI systems with anytime-valid guarantees
2026 · Zhou, Siyu, Vossler, Patrick, et al. · arXiv (Cornell University)
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Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis
2026 · Chong, Penny, Abichandani, Harshavardhan, et al. · arXiv (Cornell University)
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OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
2026 · Shen, Jiyuan, Yuan, Peiyue, et al. · arXiv (Cornell University)
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OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
2026 · Jiyuan Shen, Yuan Peiyue, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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Structured Prompts Improve Evaluation of Language Models
2025 · Aali, Asad, Mohsin, Muhammad Ahmed, et al. · arXiv (Cornell University)
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Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
2025 · Kapoor, Sayash, Stroebl, Benedikt, et al. · arXiv (Cornell University)
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LLMs Judging LLMs: A Simplex Perspective
2025 · Vossler, Patrick, Xia, Fan, et al. · arXiv (Cornell University)
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Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
2024 · Josselin Roberts, Tony Lee, et al. · neural information processing systems
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Works count: 23
Citation count: 312
H-index: 5
I10-index: 3
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