Papers
To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability
Wen-wai Yim, Yujuan Fu, Asma Ben Abacha et al.
Synergizing Large Language Models and Pre-Trained Smaller Models for Conversational Intent Discovery
Jinggui Liang, Lizi Liao, Hao Fei et al.
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models
Po-Heng Chen, Yun-Nung Chen
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels
Panatchakorn Anantaprayoon, Masahiro Kaneko, Naoaki Okazaki
Selective Prefix Tuning for Pre-trained Language Models
Hongyi Zhang, Zuchao Li, Ping Wang et al.
Making Pre-trained Language Models Great on Tabular Prediction
Jiahuan Yan, Bo Zheng, Hongxia Xu et al.
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion
Guangqian Yang, Yi Liu, Lei Zhang et al.
GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model
Yingying Gao, Shilei Zhang, Chao Deng et al.
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
Yang Zhou, Yongjian Wu, Jiya Saiyin et al.
SparseLLM: Towards Global Pruning of Pre-trained Language Models
Guangji Bai, Yijiang Li, Chen Ling et al.
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
Xin Lu, Yanyan Zhao, Bing Qin et al.
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models
Qingyi Liu, Jinghui Qin, Wenxuan Ye et al.
icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract)
Shixuan Liu, Chao Wang, Shuangyong Song
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
Junhao Zheng, Shengjie Qiu, Qianli Ma
Fine-Tuning Pre-Trained Language Models with Gaze Supervision
Shuwen Deng, Paul Prasse, David Reich et al.
Automatically Suggesting Diverse Example Sentences for L2 Japanese Learners Using Pre-Trained Language Models
Enrico Benedetti, Akiko Aizawa, Florian Boudin
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models
Yingji Li, Mengnan Du, Rui Song et al.
Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization
Zijian Lei, Dong Qian, William Cheung
UOR: Universal Backdoor Attacks on Pre-trained Language Models
Wei Du, Peixuan Li, Haodong Zhao et al.
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!
Frank Wildenburg, Michael Hanna, Sandro Pezzelle
KnowComp at DialAM-2024: Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory
Yuetong Wu, Yukai Zhou, Baixuan Xu et al.
Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion
Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen et al.
LT4SG@SMM4H’24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models
Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne et al.
Abstract-level Deductive Reasoning for Pre-trained Language Models
Xin Wu, Yi Cai, Ho-fung Leung
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models
Longxuan Ma, Changxin Ke, Shuhan Zhou et al.