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
ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models Raghav Singhal Kaustubh Ponkshe Rohit Vartak Praneeth Vepakomma 17 0 0 20 May 2025
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Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation Fei Wu Jia Hu Geyong Min Shiqiang Wang 27 0 0 16 May 2025
Rethinking Prompt Optimizers: From Prompt Merits to Optimization Zixiao Zhu Hanzhang Zhou Zijian Feng Tianjiao Li Chua Jia Jim Deryl Mak Lee Onn Gee Wah Ng Kezhi Mao LRM 36 0 0 15 May 2025
Parallel Scaling Law for Language Models Mouxiang Chen Binyuan Hui Zeyu Cui Jiaxi Yang Dayiheng Liu Jianling Sun Junyang Lin Zhongxin Liu MoE LRM 42 0 0 15 May 2025
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GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance Jinuk Kim Marwa El Halabi W. Park Clemens JS Schaefer Deokjae Lee Yeonhong Park Jae W. Lee Hyun Oh Song MQ 38 0 0 11 May 2025
Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations Patrick Blumenberg Thomas Graave Tim Fingscheidt MQ 24 0 0 10 May 2025
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning Junzhou Xu Boyu Diao MoE 52 0 0 06 May 2025
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SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning Tianjian Li Daniel Khashabi 60 0 0 05 May 2025
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An Empirical Study of Qwen3 Quantization Xingyu Zheng Yuye Li Haoran Chu Yue Feng Xudong Ma Jie Luo Jinyang Guo Haotong Qin Michele Magno Xianglong Liu MQ 33 2 0 04 May 2025
Don't be lazy: CompleteP enables compute-efficient deep transformers Nolan Dey Bin Claire Zhang Lorenzo Noci Mufan Li Blake Bordelon Shane Bergsma Cengiz Pehlevan Boris Hanin Joel Hestness 44 1 0 02 May 2025
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth Changhai Zhou Yuhua Zhou Qian Qiao Weizhong Zhang Cheng Jin MQ 27 0 0 02 May 2025
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free Euntae Choi Sumin Song Woosang Lim Sungjoo Yoo 32 0 0 02 May 2025
ICQuant: Index Coding enables Low-bit LLM Quantization Xinlin Li Osama A. Hanna Christina Fragouli Suhas Diggavi MQ 69 0 0 01 May 2025
Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing Piotr Piekos Róbert Csordás Jürgen Schmidhuber MoE VLM 108 1 0 01 May 2025
Softpick: No Attention Sink, No Massive Activations with Rectified Softmax Zayd Muhammad Kawakibi Zuhri Erland Hilman Fuadi Alham Fikri Aji 33 0 0 29 Apr 2025
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R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu Zhang Zechun Liu Yuandong Tian Harshit Khaitan Ziyi Wang Steven Li 68 0 0 28 Apr 2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks Yixin Cao Shibo Hong Xuzhao Li Jiahao Ying Yubo Ma ... Juanzi Li Aixin Sun Xuanjing Huang Tat-Seng Chua Tianwei Zhang ALM ELM 98 2 0 26 Apr 2025
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs Hongyu Wang Shuming Ma Furu Wei MQ 59 1 0 25 Apr 2025
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Efficient Pretraining Length Scaling Bohong Wu Shen Yan Sijun Zhang Jianqiao Lu Yutao Zeng Ya Wang Xun Zhou 224 0 0 21 Apr 2025
$D$^{2}$MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving$ D $^{2}$ MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving Haodong Wang Qihua Zhou Zicong Hong Song Guo MoE 58 0 0 17 Apr 2025
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Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization Yamato Arai Yuma Ichikawa MQ 36 0 0 13 Apr 2025
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Saliency-driven Dynamic Token Pruning for Large Language Models Yao Tao Yehui Tang Yun Wang Mingjian Zhu Hailin Hu Yunhe Wang 46 0 0 06 Apr 2025
A Perplexity and Menger Curvature-Based Approach for Similarity Evaluation of Large Language Models Yuantao Zhang Zhankui Yang AAML 38 0 0 05 Apr 2025
STEP: Staged Parameter-Efficient Pre-training for Large Language Models Kazuki Yano Takumi Ito Jun Suzuki LRM 60 1 0 05 Apr 2025
Entropy-Based Block Pruning for Efficient Large Language Models Liangwei Yang Yuhui Xu Juntao Tan Doyen Sahoo Shri Kiran Srinivasan Caiming Xiong Han Wang Shelby Heinecke AAML 30 0 0 04 Apr 2025
Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbić VLM MLLM LRM 79 0 0 03 Apr 2025
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li Ruokai Yin Donghyun Lee Shiting Xiao Priyadarshini Panda MQ 55 0 0 03 Apr 2025
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design Mohan Zhang Pingzhi Li Jie Peng Mufan Qiu Tianlong Chen MoE 50 0 0 02 Apr 2025
ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection Xiaoxuan Zhu Zhouhong Gu Baiqian Wu Suhang Zheng Tao Wang Tianyu Li Hongwei Feng Yanghua Xiao 46 0 0 01 Apr 2025
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Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching Benjamin Minixhofer Ivan Vulić Edoardo Ponti 244 0 0 25 Mar 2025
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization Minsu Kim Seongmin Hong RyeoWook Ko S. Choi Hunjong Lee Junsoo Kim Joo-Young Kim Jongse Park 62 0 0 24 Mar 2025
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters Roberto Garcia Jerry Liu Daniel Sorvisto Sabri Eyuboglu 95 0 0 23 Mar 2025