Papers
1,072 papers found
Dealing With Cross-Task Class Discrimination in Online Continual Learning
Yiduo Guo, Bing Liu, Dongyan Zhao
Dialect and Variant Identification as a Multi-Label Classification Task: A Proposal Based on Near-Duplicate Analysis
Gabriel Bernier-colborne, Cyril Goutte, Serge Leger
How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks
Samuel Louvan, Bernardo Magnini
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
Weicheng Ma, Renze Lou, Kai Zhang et al.
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task
Urja Khurana, Eric Nalisnick, Antske Fokkens
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks
Andrea Sottana, Bin Liang, Kai Zou et al.
Comparing Edge-based and Node-based Methods on a Citation Prediction Task
Peter Vickers, Kenneth Church
PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks
Yunuo Liu, Dawei Zhu, Zena Al-Khalili et al.
Does quantization affect models’ performance on long-context tasks?
Anmol Mekala, Anirudh Atmakuru, Yixiao Song et al.
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli et al.
Distilling from Similar Tasks for Transfer Learning on a Budget
Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora, Simon S. Du, Zhiyuan Li et al.
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar, Rishabh Agarwal, Xinyang Geng et al.
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
Daniel Goldfarb, Itay Evron, Nir Weinberger et al.
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi et al.
MLPs Learn In-Context on Regression and Classification Tasks
William Lingxiao Tong, Cengiz Pehlevan
An Information-Geometric Distance on the Space of Tasks
Yansong Gao, Pratik Chaudhari
Bering Lab’s Submissions on WAT 2021 Shared Task
Heesoo Park, Dongjun Lee
Exploring the Performance of Large Language Models on Subjective Span Identification Tasks
Alphaeus Dmonte, Roland R Oruche, Tharindu Ranasinghe et al.
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
Siddhant Arora, Alissa Ostapenko, Vijay Viswanathan et al.
Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search
Yingying Gao, Shilei Zhang, Zihao Cui et al.