Papers
Label Poisoning is All You Need
Rishi Jha, Jonathan Hayase, Sewoong Oh
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Jian Chen, Ruiyi Zhang, Tong Yu et al.
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Xiyang Liu, Prateek Jain, Weihao Kong et al.
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin et al.
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Artur Toshev, Gianluca Galletti, Fabian Fritz et al.
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
Kensen Shi, Hanjun Dai, Wen-Ding Li et al.
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
Zhenfei Yin, Jiong Wang, Jianjian Cao et al.
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay et al.
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Arman Zharmagambetov, Brandon Amos, Aaron Ferber et al.
Langevin Quasi-Monte Carlo
Sifan Liu
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Kanchana Ranasinghe, Michael S Ryoo
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
An Dinh Vuong, Minh Nhat VU, Toan Nguyen et al.
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang et al.
Language Model Alignment with Elastic Reset
Michael Noukhovitch, Samuel Lavoie, Florian Strub et al.
Language Models are Weak Learners
Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
Xiaoming Shi, Siqiao Xue, Kangrui Wang et al.
Language Models can Solve Computer Tasks
Geunwoo Kim, Pierre Baldi, Stephen McAleer
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Miles Turpin, Julian Michael, Ethan Perez et al.
Language Models Meet World Models: Embodied Experiences Enhance Language Models
Jiannan Xiang, Tianhua Tao, Yi Gu et al.
Language Model Tokenizers Introduce Unfairness Between Languages
Aleksandar Petrov, Emanuele La Malfa, Philip Torr et al.
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment
Hao Liu, Wilson Yan, Pieter Abbeel
Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma, Shuang Li, lincan Cai et al.
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
George Ma, Yifei Wang, Yisen Wang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang et al.
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi et al.