Papers
1,072 papers found
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Akash Gupta, Ivaxi Sheth, Vyas Raina et al.
Efficiency and Effectiveness in Task-Oriented Dialogue: On Construction Repetition, Information Rate, and Task Success
Jun Sen Yee, Mario Giulianelli, Arabella Sinclair
Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
Kunal Kingkar Das, Manoj Balaji Jagadeeshan, Nallani Chakravartula Sahith et al.
Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
Kunal Kingkar Das, Manoj Balaji Jagadeeshan, Nallani Chakravartula Sahith et al.
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks
Xinhao Xu, Hui Chen, Zijia Lin et al.
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection
Zihang Liu, Yancheng He, Feiqing Zhuang et al.
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection
Zihang Liu, Yancheng He, Feiqing Zhuang et al.
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin, Arka Sadhu, Junyi Du et al.
Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling
Suvodip Dey, Yi-Jyun Sun, Gokhan Tur et al.
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
Yuhang He, Yingjie Chen, Yuhan Jin et al.
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
Fei Ye, Adrian G. Bors
Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
Fei Ye, Adrian G. Bors
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue
Mihail Eric, Christopher Manning
On Task-Level Dialogue Composition of Generative Transformer Model
Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan
When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
Qi Zhu, Yuxian Gu, Lingxiao Luo et al.
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval
Jiayi Chen, Hanjun Dai, Bo Dai et al.
On task-relevant loss functions in meta-reinforcement learning
Jaeuk Shin, Giho Kim, Howon Lee et al.
Findings of the Shared Task on Multi-task Learning in Dravidian Languages
Bharathi Raja Chakravarthi, Ruba Priyadharshini, CN Subalalitha et al.
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
Giwoong Lee, Eunho Yang, Sung Hwang
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu, Wenhao Ding, Jiacheng Zhu et al.
Comparing Static and Contextual Distributional Semantic Models on Intrinsic Tasks: An Evaluation on Mandarin Chinese Datasets
Pranav A, Yan Cong, Emmanuele Chersoni et al.
NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models
Hang Xu, Ning Kang, Gengwei Zhang et al.
TOOD: Task-Aligned One-Stage Object Detection
Chengjian Feng, Yujie Zhong, Yu Gao et al.
PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture
Fakhraddin Alwajih, Abdellah El Mekki, Hamdy Mubarak et al.
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Xiao He, Francesco Alesiani, Ammar Shaker