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
A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs Xuan Ding Rui Sun Yunjian Zhang Xiu Yan Yueqi Zhou Kaihao Huang Suzhong Fu Angelica I Aviles-Rivero Chuanlong Xie Yao Zhu 176 1 0 26 Feb 2025
Predicting Through Generation: Why Generation Is Better for Prediction Md. Kowsher Nusrat Jahan Prottasha Prakash Bhat Chun-Nam Yu Mojtaba Soltanalian Ivan Garibay O. Garibay Chen Chen Niloofar Yousefi AI4TS 140 0 0 25 Feb 2025
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions Yizhe Zhang Richard He Bai Zijin Gu Ruixiang Zhang Jiatao Gu Emmanuel Abbe Samy Bengio Navdeep Jaitly LRM BDL 88 1 0 25 Feb 2025
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models Weilan Wang Yu Mao Dongdong Tang Hongchao Du Nan Guan Chun Jason Xue MQ 86 2 0 24 Feb 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models Yibo Zhong Haoxiang Jiang Lincan Li Ryumei Nakada Tianci Liu Linjun Zhang Huaxiu Yao Haoyu Wang 167 2 0 24 Feb 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Chenghao Fan Zhenyi Lu Sichen Liu Xiaoye Qu Xiaoye Qu Wei Wei Yu Cheng MoE 409 0 0 24 Feb 2025
TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking Shahriar Kabir Nahin R. N. Nandi Sagor Sarker Quazi Sarwar Muhtaseem Md. Kowsher Apu Chandraw Shill Md Ibrahim Mehadi Hasan Menon Tareq Al Muntasir Firoj Alam 117 0 0 24 Feb 2025
Delta Decompression for MoE-based LLMs Compression Hao Gu Wei Li Lujun Li Qiyuan Zhu Mark Lee Shengjie Sun Wei Xue Yike Guo MoE 82 2 0 24 Feb 2025
PICASO: Permutation-Invariant Context Composition with State Space Models Tian Yu Liu Alessandro Achille Matthew Trager Aditya Golatkar Luca Zancato Stefano Soatto LRM 94 0 0 24 Feb 2025
SpinQuant: LLM quantization with learned rotations Zechun Liu Changsheng Zhao Igor Fedorov Bilge Soran Dhruv Choudhary Raghuraman Krishnamoorthi Vikas Chandra Yuandong Tian Tijmen Blankevoort MQ 167 105 0 21 Feb 2025
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang Bairu Hou Wei Wei Yujia Bao Shiyu Chang VLM 113 2 0 21 Feb 2025
LESA: Learnable LLM Layer Scaling-Up Yifei Yang Zouying Cao Xinbei Ma Yao Yao L. Qin Zhongfu Chen Hai Zhao 110 0 0 20 Feb 2025
PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference Burc Gokden 62 0 0 19 Feb 2025
MoM: Linear Sequence Modeling with Mixture-of-Memories Jusen Du Weigao Sun Disen Lan Jiaxi Hu Yu Cheng KELM 108 3 0 19 Feb 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models Jiaqi Zhao Miao Zhang Ming Wang Yuzhang Shang Kaihao Zhang Weili Guan Yaowei Wang Min Zhang MQ 87 0 0 18 Feb 2025
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning Sifan Zhou Shuo Wang Zhihang Yuan Mingjia Shi Yuzhang Shang Dawei Yang MQ ALM 126 0 0 18 Feb 2025
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis Jiaqi Zhao Ming Wang Miao Zhang Yuzhang Shang Xuebo Liu Yaowei Wang Min Zhang Liqiang Nie MQ 125 1 0 18 Feb 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs Minxuan Lv Zhenpeng Su Leiyu Pan Yizhe Xiong Zijia Lin ... Guiguang Ding Cheng Luo Di Zhang Kun Gai Songlin Hu MoE 76 0 0 18 Feb 2025
PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery Bowei He Lihao Yin Hui-Ling Zhen Xiaokun Zhang Mingxuan Yuan Chen Ma 120 0 0 18 Feb 2025
Evaluating Step-by-step Reasoning Traces: A Survey Jinu Lee Julia Hockenmaier LRM ELM 71 2 0 17 Feb 2025
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale Fan Zhou Zengzhi Wang Qian Liu Junlong Li Pengfei Liu ALM 146 15 0 17 Feb 2025
MixMin: Finding Data Mixtures via Convex Minimization Anvith Thudi Evianne Rovers Yangjun Ruan Tristan Thrush Chris J. Maddison 53 0 0 14 Feb 2025
Large Language Diffusion Models Shen Nie Fengqi Zhu Zebin You Xiaolu Zhang Jingyang Ou Jun Hu Jun Zhou Yankai Lin Ji-Rong Wen Chongxuan Li 152 38 0 14 Feb 2025
NestQuant: Nested Lattice Quantization for Matrix Products and LLMs Semyon Savkin Eitan Porat Or Ordentlich Yury Polyanskiy MQ 49 1 0 13 Feb 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Zican Dong Junyi Li Jinhao Jiang Mingyu Xu Wayne Xin Zhao Bin Wang Xin Wu VLM 268 4 0 11 Feb 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models Xingrun Xing Zheng Liu Shitao Xiao Boyan Gao Yiming Liang Wanpeng Zhang Haokun Lin Guoqi Li Jiajun Zhang LRM 132 1 0 10 Feb 2025
MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers Nicole Cho William Watson AAML HILM 212 0 0 06 Feb 2025
ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization Zechun Liu Changsheng Zhao Hanxian Huang Sijia Chen Jing Zhang ... Yuandong Tian Bilge Soran Raghuraman Krishnamoorthi Tijmen Blankevoort Vikas Chandra MQ 105 7 0 04 Feb 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Xin Xu Qiyun Xu Tong Xiao Tianhao Chen Yuchen Yan Jiaxin Zhang Shizhe Diao Can Yang Yang Wang LRM AI4CE ELM 158 6 0 01 Feb 2025
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models J. P. Muñoz Jinjie Yuan Nilesh Jain Mamba 99 1 0 28 Jan 2025
Optimizing Large Language Model Training Using FP4 Quantization Ruizhe Wang Yeyun Gong Xiao Liu Guoshuai Zhao Ziyue Yang Baining Guo Zhengjun Zha Peng Cheng MQ 116 9 0 28 Jan 2025
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing Zeping Yu Sophia Ananiadou KELM 82 3 0 24 Jan 2025
NExtLong: Toward Effective Long-Context Training without Long Documents Chaochen Gao Xing Wu Zijia Lin Debing Zhang Songlin Hu SyDa 109 2 0 22 Jan 2025
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 84 2 0 17 Jan 2025
Tensor Product Attention Is All You Need Yifan Zhang Yifeng Liu Huizhuo Yuan Zhen Qin Yang Yuan Q. Gu Andrew Chi-Chih Yao 116 12 0 11 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Danyal Aftab Steven Davy ALM 67 1 0 10 Jan 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models Haonan Shi Tu Ouyang An Wang 71 0 0 08 Jan 2025
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation Jun Liu Zhenglun Kong Peiyan Dong Changdi Yang Xuan Shen ... Wei Niu Wenbin Zhang Xue Lin Dong Huang Yanzhi Wang ALM 75 2 0 08 Jan 2025
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment Binrui Zeng Shezheng Song Xiaodong Liu Jie Yu Huijun Liu Jun Ma Xiaopeng Li Shasha Li Xinran Hong Yongtao Tang MQ 70 1 0 24 Dec 2024
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference Chao Zeng Songwei Liu Shu Yang Fangmin Chen Xing Mei Lean Fu MQ 63 0 0 23 Dec 2024
DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference Yujie Zhang Shivam Aggarwal T. Mitra MoE 100 1 0 16 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models Fan Wang Juyong Jiang Chansung Park Sunghun Kim Jing Tang 143 1 0 08 Dec 2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning Kaustubh Ponkshe Raghav Singhal Eduard A. Gorbunov Alexey Tumanov Samuel Horváth Praneeth Vepakomma 177 6 0 29 Nov 2024
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Hexuan Deng Wenxiang Jiao Xuebo Liu Min Zhang Zhaopeng Tu Zhaopeng Tu VLM 173 0 0 21 Nov 2024
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers Zehua Pei Hui-Ling Zhen Xianzhi Yu Sinno Jialin Pan Mingxuan Yuan Bei Yu AI4CE 157 3 0 21 Nov 2024
Training Bilingual LMs with Data Constraints in the Targeted Language Skyler Seto Maartje ter Hoeve He Bai Natalie Schluter David Grangier 124 0 0 20 Nov 2024
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Riccardo Grazzi Julien N. Siems Jörg Franke Arber Zela Frank Hutter Massimiliano Pontil 121 16 0 19 Nov 2024
More Expressive Attention with Negative Weights Ang Lv Ruobing Xie Shuaipeng Li Jiayi Liao Xingwu Sun Zhanhui Kang Di Wang Rui Yan 65 1 0 11 Nov 2024
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models Runming Yang Taiqiang Wu Jiahao Wang Pengfei Hu Ngai Wong Yujiu Yang Yujiu Yang 357 1 0 11 Nov 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo Chenyang Song Xu Han Yuxiao Chen Chaojun Xiao Zhiyuan Liu Maosong Sun 75 4 0 04 Nov 2024