Papers
Test-time Augmentation for Factual Probing
Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi et al.
Test-Time Self-Adaptive Small Language Models for Question Answering
Soyeong Jeong, Jinheon Baek, Sukmin Cho et al.
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities
Fengjun Wang, Moran Beladev, Ofri Kleinfeld et al.
Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification
Jiahuan Yan, Haojun Gao, Zhang Kai et al.
Text Augmented Spatial Aware Zero-shot Referring Image Segmentation
Yucheng Suo, Linchao Zhu, Yi Yang
Text Classification via Large Language Models
Xiaofei Sun, Xiaoya Li, Jiwei Li et al.
Text Embeddings Reveal (Almost) As Much As Text
John Morris, Volodymyr Kuleshov, Vitaly Shmatikov et al.
Text encoders bottleneck compositionality in contrastive vision-language models
Amita Kamath, Jack Hessel, Kai-Wei Chang
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity
Joseph Gatto, Omar Sharif, Parker Seegmiller et al.
Text Fact Transfer
Nishant Balepur, Jie Huang, Kevin Chang
Text-guided 3D Human Generation from 2D Collections
Tsu-Jui Fu, Wenhan Xiong, Yixin Nie et al.
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference
Xin Zhou, Yi Lu, Ruotian Ma et al.
Text Rendering Strategies for Pixel Language Models
Jonas Lotz, Elizabeth Salesky, Phillip Rust et al.
Text Representation Distillation via Information Bottleneck Principle
Yanzhao Zhang, Dingkun Long, Zehan Li et al.
Text-Transport: Toward Learning Causal Effects of Natural Language
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
Jaechan Lee, Alisa Liu, Orevaoghene Ahia et al.
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
Shaurya Rohatgi, Yanxia Qin, Benjamin Aw et al.
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models
Jingyuan Qi, Zhiyang Xu, Ying Shen et al.
The Benefits of Label-Description Training for Zero-Shot Text Classification
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models
Xinyi Chen, Raquel Fernández, Sandro Pezzelle
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan et al.
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Se Joo, Doyoung Kim et al.
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models
Aviv Slobodkin, Omer Goldman, Avi Caciularu et al.