Papers by Alan Sun
Deciphering Stereotypes in Pre-Trained Language Models (2023.emnlp-main)
Copied to clipboard
Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi
| Challenge: | Current approaches for examining stereotypes in PLMs require intricate human knowledge about these stereotypes and entail careful manual curation of examples. |
| Approach: | They propose a framework for examining stereotype-encoding behavior of PLMs using model probing and textual analyses. |
| Outcome: | The proposed approach can debiase PLMs without compromising their language modeling capabilities or performance. |
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? (2023.emnlp-main)
Copied to clipboard
| Challenge: | Pre-trained vision and language models have demonstrated state-of-the-art capabilities over existing tasks involving images and texts. |
| Approach: | They analyze a visual question answering dataset tailored for info-seeking questions . they show that pre-trained visual and language models can use fine-grained knowledge . |
| Outcome: | The proposed dataset elicits models to use fine-grained knowledge learned during pre-training. |
Circuit Stability Characterizes Language Model Generalization (2025.acl-long)
Copied to clipboard
| Challenge: | Rapid development of state-of-the-art models induce benchmark saturation, while creating more challenging datasets is labor-intensive. |
| Approach: | They propose to introduce circuit stability as a new way to assess model performance. |
| Outcome: | The proposed methods characterize and predict different aspects of generalization. |