PIQA: Reasoning about Physical Commonsense in Natural Language

26 November 2019

Yejin Choi

Papers citing "PIQA: Reasoning about Physical Commonsense in Natural Language"

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Title
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy Hong Li Zhiquan Tan Xingyu Li Weiran Huang CLL MoMe 43 1 0 14 Oct 2024
FlatQuant: Flatness Matters for LLM Quantization Yuxuan Sun Ruikang Liu Haoli Bai Han Bao Kang Zhao ... Lu Hou Chun Yuan Xin Jiang Wen Liu Jun Yao MQ 79 4 0 12 Oct 2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture Jiayi Han Liang Du Hongwei Du Xiangguo Zhou Yiwen Wu Weibo Zheng Donghong Han CLL MoMe MoE 38 2 0 10 Oct 2024
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He Hang Yu Zi Gong Shizhan Liu Jia-Nan Li Weiyao Lin VLM 38 1 0 09 Oct 2024
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 58 5 0 09 Oct 2024
Parameter Efficient Fine-tuning via Explained Variance Adaptation Fabian Paischer Lukas Hauzenberger Thomas Schmied Benedikt Alkin Marc Peter Deisenroth Sepp Hochreiter 42 4 0 09 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey Dianzhi Yu Xinni Zhang Yankai Chen Aiwei Liu Yifei Zhang Philip S. Yu Irwin King VLM CLL 52 10 0 07 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 54 1 0 04 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li Xinyu Yan Tianao Zhang Haotong Qin Dong Xie Jiang Tian Zhongchao Shi Linghe Kong Yulun Zhang Xiaokang Yang MQ 39 2 0 04 Oct 2024
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling Yuxuan Yao Han Wu Mingyang Liu Sichun Luo Xiongwei Han Jie Liu Zhijiang Guo Linqi Song 58 4 0 03 Oct 2024
Selective Attention Improves Transformer Yaniv Leviathan Matan Kalman Yossi Matias 51 9 0 03 Oct 2024
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition Jiyeon Kim Hyunji Lee Hyowon Cho Joel Jang Hyeonbin Hwang Seungpil Won Youbin Ahn Dohaeng Lee Minjoon Seo KELM 191 3 0 02 Oct 2024
House of Cards: Massive Weights in LLMs Jaehoon Oh Seungjun Shin Dokwan Oh 48 1 0 02 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng CoGe 87 1 0 02 Oct 2024
Hyper-Connections Defa Zhu Hongzhi Huang Zihao Huang Yutao Zeng Yunyao Mao Banggu Wu Qiyang Min Xun Zhou 41 4 0 29 Sep 2024
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning Yu Fu Jie He Yifan Yang Qun Liu Deyi Xiong OffRL LRM 50 0 0 27 Sep 2024
Small Language Models: Survey, Measurements, and Insights Zhenyan Lu Xiang Li Dongqi Cai Rongjie Yi Fangming Liu Xiwen Zhang Nicholas D. Lane Mengwei Xu ObjD LRM 64 38 0 24 Sep 2024
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition Stephen Zhang Vardan Papyan VLM 56 1 0 20 Sep 2024
Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination Eva Sánchez Salido Roser Morante Julio Gonzalo Guillermo Marco Jorge Carrillo-de-Albornoz ... Enrique Amigó Andrés Fernández Alejandro Benito-Santos Adrián Ghajari Espinosa Victor Fresno ELM 51 0 0 19 Sep 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 49 5 0 18 Sep 2024
Mixture of Diverse Size Experts Manxi Sun Wei Liu Jian Luan Pengzhi Gao Bin Wang MoE 28 1 0 18 Sep 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning Zayne Sprague Fangcong Yin Juan Diego Rodriguez Dongwei Jiang Manya Wadhwa Prasann Singhal Xinyu Zhao Xi Ye Kyle Mahowald Greg Durrett ReLM LRM 125 90 0 18 Sep 2024
MotIF: Motion Instruction Fine-tuning Minyoung Hwang Joey Hejna Dorsa Sadigh Yonatan Bisk 62 1 0 16 Sep 2024
Flash STU: Fast Spectral Transform Units Y. Isabel Liu Windsor Nguyen Yagiz Devre Evan Dogariu Anirudha Majumdar Elad Hazan AI4TS 72 1 0 16 Sep 2024
Improving Pretraining Data Using Perplexity Correlations Tristan Thrush Christopher Potts Tatsunori Hashimoto 40 17 0 09 Sep 2024
Does Alignment Tuning Really Break LLMs' Internal Confidence? Hongseok Oh Wonseok Hwang 49 0 0 31 Aug 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin Shangqian Gao James Seale Smith Abhishek Patel Shikhar Tuli Yilin Shen Hongxia Jin Yen-Chang Hsu 71 9 0 19 Aug 2024
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models Aviv Bick Kevin Y. Li Eric P. Xing J. Zico Kolter Albert Gu Mamba 58 24 0 19 Aug 2024
Layerwise Recurrent Router for Mixture-of-Experts Zihan Qiu Zeyu Huang Shuang Cheng Yizhi Zhou Zili Wang Ivan Titov Jie Fu MoE 81 2 0 13 Aug 2024
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts Xi Lin Akshat Shrivastava Liang Luo Srinivasan Iyer Mike Lewis Gargi Gosh Luke Zettlemoyer Armen Aghajanyan MoE 51 20 0 31 Jul 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models Haoyu Tang Ye Liu Xukai Liu Xukai Liu Yanghai Zhang Kai Zhang Xiaofang Zhou Enhong Chen MU 75 3 0 25 Jul 2024
A deeper look at depth pruning of LLMs Shoaib Ahmed Siddiqui Xin Dong Greg Heinrich Thomas Breuel Jan Kautz David M. Krueger Pavlo Molchanov 42 7 0 23 Jul 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 68 0 0 22 Jul 2024
Beyond Next Token Prediction: Patch-Level Training for Large Language Models Chenze Shao Fandong Meng Jie Zhou 53 1 0 17 Jul 2024
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices Jung Hyun Lee Jeonghoon Kim J. Yang S. Kwon Eunho Yang Kang Min Yoo Dongsoo Lee MQ 36 2 0 16 Jul 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs Zhenhua Liu Tong Zhu Chuanyuan Tan Wenliang Chen PILM MU 56 9 0 14 Jul 2024
Low-Rank Interconnected Adaptation Across Layers Yibo Zhong Yao Zhou OffRL MoE 55 1 0 13 Jul 2024
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models Yonghong Tian Wenqi Shao Peng Xu Jiahao Wang Peng Gao Kaipeng Zhang Ping Luo MQ 60 26 0 10 Jul 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation Catherine Tony Nicolás E. Díaz Ferreyra Markus Mutas Salem Dhiff Riccardo Scandariato SILM 82 9 0 09 Jul 2024
On Speeding Up Language Model Evaluation Jin Peng Zhou Christian K. Belardi Ruihan Wu Travis Zhang Carla P. Gomes Wen Sun Kilian Q. Weinberger 58 1 0 08 Jul 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Xingrun Xing Boyan Gao Zheng Zhang David A. Clifton Shitao Xiao Li Du Guoqi Li Jiajun Zhang 63 5 0 05 Jul 2024
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations Md Tahmid Rahman Laskar Sawsan Alqahtani M Saiful Bari Mizanur Rahman Mohammad Abdullah Matin Khan ... Chee Wei Tan Md. Rizwan Parvez Enamul Hoque Shafiq Joty Jimmy Huang ELM ALM 33 28 0 04 Jul 2024
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets Ahmed Frikha Nassim Walha Ricardo Mendes K. K. Nakka Xue Jiang Xuebing Zhou 74 2 0 03 Jul 2024
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models Kangyun Ning Yisong Su Xueqiang Lv Yuanzhe Zhang Jian Liu Kang Liu Jinan Xu ELM LLMAG 48 2 0 02 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning Hasna Chouikhi Manel Aloui Cyrine Ben Hammou Ghaith Chaabane Haithem Kchaou Chehir Dhaouadi 44 0 0 02 Jul 2024
Normalization and effective learning rates in reinforcement learning Clare Lyle Zeyu Zheng Khimya Khetarpal James Martens H. V. Hasselt Razvan Pascanu Will Dabney 26 7 0 01 Jul 2024
RegMix: Data Mixture as Regression for Language Model Pre-training Qian Liu Xiaosen Zheng Niklas Muennighoff Guangtao Zeng Longxu Dou Tianyu Pang Jing Jiang Min Lin MoE 74 41 1 01 Jul 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models Yash Akhauri Ahmed F. AbouElhamayed Jordan Dotzel Zhiru Zhang Alexander M Rush Safeen Huda Mohamed S. Abdelfattah 23 2 0 24 Jun 2024
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging Deyuan Liu Zengchang Qin Han Wang Zhao Yang Zecheng Wang ... Zhao Lv Zhiying Tu Dianhui Chu Bo Li Dianbo Sui 36 2 0 24 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 61 7 0 24 Jun 2024