Papers
1,072 papers found
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
Ruiqian Nai, Zixin Wen, Ji Li et al.
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
Sinong Wang, Madian Khabsa, Hao Ma
Posterior Calibrated Training on Sentence Classification Tasks
Taehee Jung, Dongyeop Kang, Hua Cheng et al.
POSTECH Submission on Duolingo Shared Task
Junsu Park, Hongseok Kwon, Jong-Hyeok Lee
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Xing Wu, Chaochen Gao, Meng Lin et al.
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task
Karim Lasri, Alessandro Lenci, Thierry Poibeau
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su, Weijia Shi, Jungo Kasai et al.
Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays
Yuning Ding, Marie Bexte, Andrea Horbach
ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)
Rakib Hossain Rifat, Abanti Shruti, Marufa Kamal et al.
Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness
Chenxi Li, Yuanhe Tian, Zhaxi Zerong et al.
Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks
Arij Riabi, Menel Mahamdi, Virginie Mouilleron et al.
UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5)
Motasem Obeidat, Vinu Ekanayake, Md Sultan Al Nahian et al.
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever
Ang Li, Yiquan Wu, Yifei Liu et al.
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
Andreas Stephan, Dawei Zhu, Matthias Aßenmacher et al.
PuerAI at SemEval-2025 Task 9: Research on Food Safety Data Classification Using ModernBERT
Jiaxu Dao, Zhuoying Li, Xiuzhong Tang et al.
Adversarial Online Multi-Task Reinforcement Learning
Quan Nguyen, Nishant Mehta
All-in-one: Multi-task Learning for Rumour Verification
Elena Kochkina, Maria Liakata, Arkaitz Zubiaga
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation
Pawel Bujnowski, Kseniia Ryzhova, Hyungtak Choi et al.
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts
David Rother, Thomas Haider, Steffen Eger
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks
Rajiv Movva, Jinhao Lei, Shayne Longpre et al.
SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task
Zijie Zhong, Linqing Zhong, Zhaoze Sun et al.
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training
Rohan Saha, Abrar Fahim, Alona Fyshe et al.
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Dongshuo Yin, Leiyi Hu, Bin Li et al.
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
Jivnesh Sandhan, Amrith Krishna, Ashim Gupta et al.