Papers
1,072 papers found
Probing GPT-3’s Linguistic Knowledge on Semantic Tasks
Lining Zhang, Mengchen Wang, Liben Chen et al.
Sources of Hallucination by Large Language Models on Inference Tasks
Nick McKenna, Tianyi Li, Liang Cheng et al.
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation
Chenxi Gu, Xiaoqing Zheng, Jianhan Xu et al.
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
Ruixiang Tang, Gord Lueck, Rodolfo Quispe et al.
Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels
Danilo Neves Ribeiro, Jack Goetz, Omid Abdar et al.
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Haoyuan Wu, Haisheng Zheng, Zhuolun He et al.
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
Bar Iluz, Yanai Elazar, Asaf Yehudai et al.
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
Peiwen Jiang, Xinbo Lin, Zibo Zhao et al.
Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks
Shengnan An, Zexiong Ma, Siqi Cai et al.
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
Abhay Gupta, Ece Yurtseven, Philip Meng et al.
Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set)
Jiayi Wang, David Ifeoluwa Adelani, Pontus Stenetorp
Efficient Compositional Multi-tasking for On-device Large Language Models
Ondrej Bohdal, Mete Ozay, Jijoong Moon et al.
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
Wei Huang, Huang Wei, Yinggui Wang
BAREC Shared Task 2025 on Arabic Readability Assessment
Khalid N. Elmadani, Bashar Alhafni, Hanada Taha et al.
Evaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set
Senyu Li, Felermino Dario Mario Ali, Jiayi Wang et al.
Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing
Jae-Han Lee, Chul Lee, Chang-Su Kim
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision
Sophia Gu, Christopher Clark, Aniruddha Kembhavi
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network
Tao Xie, Ke Wang, Siyi Lu et al.
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, Song Han
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Mingxu Tao, Yansong Feng, Dongyan Zhao
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu, Megan Stanley, John F Bronskill et al.
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen, Jindong Wang, Ankit Shah et al.
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar et al.
Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗
Yao Zhang, Xiuzhen Zhang, Dengji Zhao