Author

Yulia Tsvetkov

Observed name: Tsvetkov, Yulia

Institutions: University of Wisconsin–Madison, Johns Hopkins University, University of Washington, Allen Institute for Artificial Intelligence

Observed institutions: University of Wisconsin–Madison, Johns Hopkins University, University of Washington, Allen Institute for Artificial Intelligence

ORCID: 0000-0002-4634-7128

Observed ORCID: 0000-0002-4634-7128

OpenAlex ID: A5114482527

Can Language Models Solve Graph Problems in Natural Language?

2023 · Heng Wang, Shangbin Feng, et al. · neural information processing systems · 48

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Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models

2026 · Rock Yuren Pang, K. J. Kevin Feng, et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 3

Jarvis: A Proactive Speech Agent for Multi-Party Conversations

2026 · Oh, Seunghyun, Hiraki, Hirotaka, et al. · arXiv (Cornell University)

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You're Hired: Strategic Model Selection for LLM Collaboration

2026 · Cao, Zongwan, Yang, Ziyuan, et al. · arXiv (Cornell University)

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Rethinking the Evaluation of Harness Evolution for Agents

2026 · Wang, Yike, Zhu, Huaisheng, et al. · arXiv (Cornell University)

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Deep Reasoning in General Purpose Agents via Structured Meta-Cognition

2026 · Light, Dean, Theologitis, Michael, et al. · arXiv (Cornell University)

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EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics

2026 · Li, Shuyue Stella, Xin, Rui, et al. · arXiv (Cornell University)

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HorizonBench: Long-Horizon Personalization with Evolving Preferences

2026 · Li, Shuyue Stella, Paranjape, Bhargavi, et al. · arXiv (Cornell University)

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IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation

2026 · Kantharuban, Anjali, Srivastava, Aarohi, et al. · arXiv (Cornell University)

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Cold-Start Personalization via Training-Free Priors from Structured World Models

2026 · Bose, Avinandan, Li, Shuyue Stella, et al. · arXiv (Cornell University)

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Are Language Models Sensitive to Morally Irrelevant Distractors?

2026 · Shaw, Andrew, Hahn, Christina, et al. · arXiv (Cornell University)

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MentorCollab: Large-to-Small Inference-Time Mentorship for Concise Reasoning in Language Models

2026 · Wang, Haojin, Wang, Yike, et al. · arXiv (Cornell University)

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The Single-Multi Evolution Loop for Self-Improving Model Collaboration Systems

2026 · Feng, Shangbin, Panaganti, Kishan, et al. · arXiv (Cornell University)

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Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems

2026 · Yang, Ziyuan, Ding, Wenxuan, et al. · arXiv (Cornell University)

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Reliable and Responsible Foundation Models: A Comprehensive Survey

2026 · Yang, Xinyu, Han, Junlin, et al. · arXiv (Cornell University)

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Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch

2026 · Kim, Hyunwoo, Mireshghallah, Niloofar, et al. · arXiv (Cornell University)

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BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning

2026 · Jang, Min, Ahia, Orevaoghene, et al. · arXiv (Cornell University)

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MoCo: A One-Stop Shop for Model Collaboration Research

2026 · Feng, Shangbin, Bai, Yuyang, et al. · arXiv (Cornell University)

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Small Reward Models via Backward Inference

2026 · Yike Wang, Faeze Brahman, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Do AI Disclaimers Reduce Susceptibility to Model Bias? Evidence on Language, Mechanisms, and Persistence

2026 · Fisher, Jillian, Reinecke, Katharina, et al.

Works count: 20

Citation count: 51

H-index: 2

I10-index: 1