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PIQA: Reasoning about Physical Commonsense in Natural Language

PIQA: Reasoning about Physical Commonsense in Natural Language

26 November 2019
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
    OOD
    LRM
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Papers citing "PIQA: Reasoning about Physical Commonsense in Natural Language"

50 / 436 papers shown
Title
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
Nick Ferguson
Liane Guillou
A. Bundy
Kwabena Nuamah
LRM
ELM
70
1
0
17 Feb 2025
Large Language Diffusion Models
Large Language Diffusion Models
Shen Nie
Fengqi Zhu
Zebin You
Xiaolu Zhang
Jingyang Ou
Jun Hu
Jun Zhou
Yankai Lin
Zhicheng Dou
Chongxuan Li
114
22
0
14 Feb 2025
NestQuant: Nested Lattice Quantization for Matrix Products and LLMs
NestQuant: Nested Lattice Quantization for Matrix Products and LLMs
Semyon Savkin
Eitan Porat
Or Ordentlich
Yury Polyanskiy
MQ
38
1
0
13 Feb 2025
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
Da Xiao
Qingye Meng
Shengping Li
Xingyuan Yuan
MoE
AI4CE
71
1
0
13 Feb 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
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
67
1
0
10 Feb 2025
\Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents
\Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents
Ilia Karmanov
A. Deshmukh
Lukas Voegtle
Philipp Fischer
Kateryna Chumachenko
...
Jarno Seppänen
Jupinder Parmar
Joseph Jennings
Andrew Tao
Karan Sapra
75
0
0
06 Feb 2025
ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization
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
85
5
0
04 Feb 2025
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
Paul Albert
Frederic Z. Zhang
Hemanth Saratchandran
Cristian Rodriguez-Opazo
Anton van den Hengel
Ehsan Abbasnejad
116
2
0
03 Feb 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
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
ELM
LRM
AI4CE
117
4
0
01 Feb 2025
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
J. P. Muñoz
Jinjie Yuan
Nilesh Jain
Mamba
76
1
0
28 Jan 2025
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta
Siddhant Chaudhary
Tanmoy Chakraborty
49
3
0
25 Jan 2025
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Zeping Yu
Sophia Ananiadou
KELM
53
1
0
24 Jan 2025
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
Xing Hu
Yuan Cheng
Dawei Yang
Zukang Xu
Zhihang Yuan
Jiangyong Yu
Chen Xu
Zhe Jiang
Sifan Zhou
MQ
49
6
0
23 Jan 2025
On the uncertainty principle of neural networks
On the uncertainty principle of neural networks
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
67
2
0
17 Jan 2025
FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices
FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices
Yuji Chai
Mujin Kwen
David Brooks
Gu-Yeon Wei
MQ
44
3
0
13 Jan 2025
Tensor Product Attention Is All You Need
Tensor Product Attention Is All You Need
Yifan Zhang
Yifeng Liu
Huizhuo Yuan
Zhen Qin
Yang Yuan
Q. Gu
Andrew Chi-Chih Yao
96
9
0
11 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts
Danyal Aftab
Steven Davy
ALM
49
0
0
10 Jan 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
Haonan Shi
Tu Ouyang
An Wang
43
0
0
08 Jan 2025
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
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
59
2
0
08 Jan 2025
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
Binrui Zeng
Bin Ji
Xiaodong Liu
Jie Yu
Shasha Li
Jun Ma
Xiaopeng Li
Shangwen Wang
Xinran Hong
Yongtao Tang
MQ
49
1
0
24 Dec 2024
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference
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Chao Zeng
Songwei Liu
Shu Yang
Fangmin Chen
Xing Mei
Lean Fu
MQ
54
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DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference
DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference
Yujie Zhang
Shivam Aggarwal
T. Mitra
MoE
79
0
0
16 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang
Juyong Jiang
Chansung Park
Sunghun Kim
Jing Tang
99
1
0
08 Dec 2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
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
78
3
0
29 Nov 2024
Training Bilingual LMs with Data Constraints in the Targeted Language
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Skyler Seto
Maartje ter Hoeve
He Bai
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David Grangier
95
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Riccardo Grazzi
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Arber Zela
Frank Hutter
Massimiliano Pontil
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BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
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Ahmed F. AbouElhamayed
Xilai Dai
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Marta Andronic
George A. Constantinides
Mohamed S. Abdelfattah
MQ
110
1
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More Expressive Attention with Negative Weights
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Ang Lv
Ruobing Xie
Shuaipeng Li
Jiayi Liao
Xingwu Sun
Zhanhui Kang
Di Wang
Rui Yan
44
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LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
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Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
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Xu Han
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Maosong Sun
64
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TODO: Enhancing LLM Alignment with Ternary Preferences
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40
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Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
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Caixia Yuan
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CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
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