Zhang, Hongming

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Dense X Retrieval: What Retrieval Granularity Should We Use?

Chen, T., Wang, H., Chen, S., Yu, W., Ma, K., Zhao, X., Zhang, H., & Yu, D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 74

Dense X Retrieval: What Retrieval Granularity Should We Use?

Chen, T., Wang, H., Chen, S., Yu, W., Ma, K., Zhao, X., Zhang, H., & Yu, D. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 74

Rethinking with Retrieval: Faithful Large Language Model Inference

He, H., Zhang, H., & Roth, D. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 50

A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning

Hong, R., Zhang, H., Pang, X., Yu, D., & Zhang, C. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 11

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Zhang, Z., Wang, Y., Huang, X., Fang, T., Zhang, H., Deng, C., Li, S., & Yu, D. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 9

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?

Jing, L., Huang, Z., Wang, X., Yao, W., Yu, W., Ma, K., Zhang, H., Du, X., & Yu, D. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 1

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Huang, C., Yu, W., Wang, X., Zhang, H., Li, Z., Li, R., Huang, J., Mi, H., & Yu, D. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach

Zhang, J., Zhang, H., Deng, Z., & Roth, D. (2022) · arXiv

Ethics and Social Impacts of AIscientometrics and bibliometrics research

Cited by 1