Papers
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
Isar Nejadgholi, Esma Balkir, Kathleen Fraser et al.
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu, Xiang Chen, Ningyu Zhang et al.
Towards Reinterpreting Neural Topic Models via Composite Activations
Jia Peng Lim, Hady Lauw
Towards relation extraction from speech
Tongtong Wu, Guitao Wang, Jinming Zhao et al.
Towards Robust k-Nearest-Neighbor Machine Translation
Hui Jiang, Ziyao Lu, Fandong Meng et al.
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts
Arshiya Aggarwal, Jiao Sun, Nanyun Peng
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He et al.
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Qingyi Si, Yuanxin Liu, Fandong Meng et al.
Towards Summary Candidates Fusion
Mathieu Ravaut, Shafiq Joty, Nancy Chen
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
Miao Chen, Xinjiang Lu, Tong Xu et al.
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark
Towards Tracing Knowledge in Language Models Back to the Training Data
Ekin Akyurek, Tolga Bolukbasi, Frederick Liu et al.
Towards Unified Prompt Tuning for Few-shot Text Classification
Jianing Wang, Chengyu Wang, Fuli Luo et al.
Towards Unifying Reference Expression Generation and Comprehension
Duo Zheng, Tao Kong, Ya Jing et al.
Toward the Limitation of Code-Switching in Cross-Lingual Transfer
Yukun Feng, Feng Li, Philipp Koehn
Toward Unifying Text Segmentation and Long Document Summarization
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang et al.
Tracing and Manipulating intermediate values in Neural Math Problem Solvers
Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa et al.
Tracing Semantic Variation in Slang
Zhewei Sun, Yang Xu
Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022
Vanni Zavarella, Hristo Tanev, Ali Hürriyetoğlu et al.
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models
Clara Na, Sanket Vaibhav Mehta, Emma Strubell
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
Fenia Christopoulou, Gerasimos Lampouras, Ignacio Iacobacci
Training Language Models with Memory Augmentation
Zexuan Zhong, Tao Lei, Danqi Chen