Zou, James

UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels

Silberg, J., Swanson, K., Simon, E., Zhang, A., Ghazizadeh, Z., Ogden, S., Hamadeh, H., & Zou, J. (2024) · neural information processing systems

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

Cited by 9

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Suzgun, M., Yuksekgonul, M., Bianchi, F., Jurafsky, D., & Zou, J. (2026) · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Domain Adaptation and Few-Shot LearningNatural Language Processing Techniques

Cited by 9

Evaluating Large Language Models with Psychometrics . -

Li, Y., Huang, Y., Wang, H., Cheng, Y., Zhang, X., Zou, J., & Sun, L. (2024) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 8

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Chen, L., Davis, J. Q., Hanin, B., Bailis, P., Stoica, I., Zaharia, M., & Zou, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Deng, Y., Lu, P., Yin, F., Hu, Z., Shen, S., Gu, Q., Zou, J., Chang, K.-W., & Wang, W. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 7

Can AI Be as Creative as Humans?

Wang, H., Zou, J., Mozer, M., Goyal, A., Lamb, A., Zhang, L., Su, W. J., Deng, Z., Xie, M. Q., Brown, H., et al. (2024) · arXiv

Creativity in Education and NeuroscienceArtificial Intelligence Applications

Cited by 7

Simple linear attention language models balance the recall-throughput tradeoff

Arora, S., Eyuboglu, S., Zhang, M., Timalsina, A., Alberti, S., Zinsley, D., Zou, J., Rudra, A., & Ré, C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

DataPerf: Benchmarks for Data-Centric AI Development

Mazumder, M., Banbury, C., Yao, X., Karlaš, B., Rojas, W. G., Diamos, S., Diamos, G., He, L., Parrish, A., Kirk, H. R., et al. (2023) · Advances in Neural Information Processing Systems 36

Advanced Database Systems and QueriesScientific Computing and Data Management

Cited by 5

Zoology: Measuring and Improving Recall in Efficient Language Models

Arora, S., Eyuboglu, S., Timalsina, A., Johnson, I., Poli, M., Zou, J., Rudra, A., & Ré, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025

Thakkar, N., Yuksekgonul, M., Silberg, J., Garg, A., Peng, N., Sha, F., Yu, R., Vondrick, C., & Zou, J. (2025) · arXiv

Publishing and Scholarly CommunicationAcademic Writing and Publishing

Cited by 4

Machine Learning for Early Detection of Hidradenitis Suppurativa: A Feasibility Study Using Medical Insurance Claims Data

Ali, W., Williams, J., Xiong, B., Zou, J., & Daneshjou, R. (2025) · JID Innovations

Hidradenitis Suppurativa and TreatmentsArtificial Intelligence in Healthcare

Cited by 4

Where LLM Agents Fail and How They can Learn From Failures

Zhu, K., Liu, Z., Li, B., Tian, M., Yang, Y., Zhang, J., Han, P., Xie, Q., Cui, F., Zhang, W., et al. (2025) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 4

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models

Suzgun, M., Gur, T., Bianchi, F., Ho, D. E., Icard, T., Jurafsky, D., & Zou, J. (2024) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 3

Latent Collaboration in Multi-Agent Systems

Zou, J., Qiu, R., Li, G., Yang, X., Tieu, K., Lu, P., Shen, K., Tong, H., Choi, Y., He, J., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 2

Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models

Narayan, A., Biderman, D., Eyuboglu, S., May, A., Linderman, S., Zou, J., & Re, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis

Bianchi, F., Kwon, Y., Izzo, Z., Zhang, L., & Zou, J. (2025) · arXiv

Academic Writing and PublishingPublishing and Scholarly Communication

Cited by 1

Learning to Discover at Test Time

Yuksekgonul, M., Koceja, D., Li, X., Bianchi, F., McCaleb, J., Wang, X., Kautz, J., Choi, Y., Zou, J., Guestrin, C., et al. (2026) · arXiv

Artificial Intelligence ApplicationsEvolutionary Algorithms and Applications

Cited by 1

Cost-of-Pass: An Economic Framework for Evaluating Language Models

Erol, M. H., El, B., Suzgun, M., Yuksekgonul, M., & Zou, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Suzgun, M., Yuksekgonul, M., Bianchi, F., Jurafsky, D., & Zou, J. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Structured Scaling of AI Discovery Across Diverse Scientific Domains

Ye, H., Lin, H., Tang, J., Luo, Y., Thapa, R., Yang, C., Su, C., Yang, R., Liu, R., Li, R., et al. (2026) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 0

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution

Maheswaran, M., Lakhani, L., Zhou, Z., Yang, S., Wang, J., Hooper, C., Hu, Y., Tiwari, R., Wang, J., Singh, H., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

Cartridges: Lightweight and general-purpose long context representations via self-study

Eyuboglu, S., Ehrlich, R., Arora, S., Guha, N., Zinsley, D., Liu, E., Tennien, W., Rudra, A., Zou, J., Mirhoseini, A., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0