Papers by Paul Yang
TableFormer: Robust Transformer Modeling for Table-Text Encoding (2022.acl-long)
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| Challenge: | Existing tables models require linearization of the table structure, where row or column order is encoded as an unwanted bias. |
| Approach: | They propose a robust and structurally aware table-text encoding architecture TableFormer where tabular structural biases are incorporated completely through learnable attention biase. |
| Outcome: | The proposed architecture outperforms strong baselines on SQA, WTQ and TabFact table reasoning datasets and achieves state-of-the-art performance on SQ. |
PizzaPal: Conversational Pizza Ordering using a High-Density Conversational AI Platform (D18-2)
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| Challenge: | a pizza ordering bot that can be used to order pizzas is described in this paper. |
| Approach: | They describe PizzaPal, a voice-only agent for ordering pizza, and the Conversational AI architecture built at b4.ai. |
| Outcome: | The pizza ordering bot is based on a dialog framework developed by b4.ai . |
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning (2024.findings-acl)
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Qiming Bao, Alex Peng, Zhenyun Deng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu
| Challenge: | Empirical evidence shows that our proposed method improves performance across seven downstream tasks. |
| Approach: | They propose a logic-driven data augmentation approach that converts text into AMR graphs and converts them back into text to create augmented data. |
| Outcome: | The proposed method leads on the ReClor leaderboard and improves on seven downstream tasks. |