Papers
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Dung Nguyen, Le Nam, Anh Dau et al.
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
Iker García-Ferrero, Begoña Altuna, Javier Alvez et al.
This Reads Like That: Deep Learning for Interpretable Natural Language Processing
Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann et al.
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat et al.
Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning
An-Zi Yen, Wei-Ling Hsu
Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction
Jiaqi Li, Chuanyi Zhang, Miaozeng Du et al.
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
David Heineman, Yao Dou, Wei Xu
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration
Daniel Deutsch, George Foster, Markus Freitag
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
Qing Zong, Zhaowei Wang, Baixuan Xu et al.
Time-Aware Language Modeling for Historical Text Dating
Han Ren, Hai Wang, Yajie Zhao et al.
Time-Aware Representation Learning for Time-Sensitive Question Answering
Jungbin Son, Alice Oh
Time-Considerable Dialogue Models via Reranking by Time Dependency
Yuiko Tsunomori, Masakazu Ishihata, Hiroaki Sugiyama
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles
Sarah Alsayyahi, Riza Batista-Navarro
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Nicholas Botzer, David Vazquez, Tim Weninger et al.
TLM: Token-Level Masking for Transformers
Yangjun Wu, Kebin Fang, Dongxiang Zhang et al.
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce
Tongxin Hu, Zhuang Li, Xin Jin et al.
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
Sireesh Gururaja, Amanda Bertsch, Clara Na et al.
To Burst or Not to Burst: Generating and Quantifying Improbable Text
Kuleen Sasse, Efsun Sarioglu Kayi, Samuel Barham et al.
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
Sungryull Sohn, Yiwei Lyu, Anthony Liu et al.
TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models
Amrit Nagarajan, Anand Raghunathan
Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative
Sören Dreano, Derek Molloy, Noel Murphy
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks
Kaiser Sun, Peng Qi, Yuhao Zhang et al.
Token Prediction as Implicit Classification to Identify LLM-Generated Text
Yutian Chen, Hao Kang, Vivian Zhai et al.