Wang, Bailin

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Wu, Z., Qiu, L., Ross, A., Akyürek, E., Chen, B., Wang, B., Kim, N., Andreas, J., & Kim, Y. (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 ModelingNatural Language Processing Techniques

Cited by 58

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Wu, Z., Qiu, L., Ross, A., Akyürek, E., Chen, B., Wang, B., Kim, N., Andreas, J., & Kim, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

Gated Linear Attention Transformers with Hardware-Efficient Training

Yang, S., Wang, B., Shen, Y., Panda, R., & Kim, Y. (2023) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 10

In-Context Language Learning: Architectures and Algorithms

Akyürek, E., Wang, B., Kim, Y., & Andreas, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

RATTENTION: Towards the Minimal Sliding Window Size in Local-Global Attention Models

Wang, B., Lan, C., Wang, C., & Pang, R. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0