Papers
11,951 papers found
Language Models Learn to Mislead Humans via RLHF
Jiaxin Wen, Ruiqi Zhong, Akbir Khan et al.
Language Models Need Inductive Biases to Count Inductively
Yingshan Chang, Yonatan Bisk
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar et al.
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths
Language Representations Can be What Recommenders Need: Findings and Potentials
Leheng Sheng, An Zhang, Yi Zhang et al.
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Doohyuk Jang, Sihwan Park, June Yong Yang et al.
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert et al.
Large Convolutional Model Tuning via Filter Subspace
Wei Chen, Zichen Miao, Qiang Qiu
Large Language Models are Interpretable Learners
Ruochen Wang, Si Si, Felix Yu et al.
Large Language Models Assume People are More Rational than We Really are
Ryan Liu, Jiayi Geng, Joshua Peterson et al.
Large Language Models can Become Strong Self-Detoxifiers
Ching-Yun Ko, Pin-Yu Chen, Payel Das et al.
Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
Chengwen Qi, Ren Ma, Bowen Li et al.
Large Language Models Often Say One Thing and Do Another
Ruoxi Xu, Hongyu Lin, Xianpei Han et al.
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
Zhongyi Shui, Jianpeng Zhang, Weiwei Cao et al.
Large Scale Knowledge Washing
Yu Wang, Ruihan Wu, Zexue He et al.
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky, Andrei Atanov, Yulun Jiang et al.
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
Hanyu Wang, Saksham Suri, Yixuan Ren et al.
LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
Junru Song, Yang Yang, Huan Xiao et al.
Lasso Bandit with Compatibility Condition on Optimal Arm
Harin Lee, Taehyun Hwang, Min-hwan Oh
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
Xufeng Cai, Jelena Diakonikolas
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai, Gabriele Farina, Julien Grand-Clément et al.
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon et al.
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee, Jinyoung Park, Jaewon Chu et al.
Latent Radiance Fields with 3D-aware 2D Representations
Chaoyi Zhou, Xi Liu, Feng Luo et al.