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A Systematic Classification of Knowledge, Reasoning, and Context within
  the ARC Dataset

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

1 June 2018
Michael Boratko
Harshit Padigela
Divyendra Mikkilineni
Pritish Yuvraj
Rajarshi Das
Andrew McCallum
Maria Chang
Achille Fokoue
Pavan Kapanipathi
Nicholas Mattei
Ryan Musa
Kartik Talamadupula
Michael Witbrock
ArXivPDFHTML

Papers citing "A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset"

15 / 15 papers shown
Title
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
Yamato Arai
Yuma Ichikawa
MQ
36
0
0
13 Apr 2025
MoQa: Rethinking MoE Quantization with Multi-stage Data-model Distribution Awareness
MoQa: Rethinking MoE Quantization with Multi-stage Data-model Distribution Awareness
Zihao Zheng
Xiuping Cui
Size Zheng
Maoliang Li
Jiayu Chen
Yun Liang
Xiang Chen
MQ
MoE
69
0
0
27 Mar 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
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit
  Large Language Models
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
Xing Hu
Yuan Cheng
Dawei Yang
Zhihang Yuan
Jiangyong Yu
Chen Xu
Sifan Zhou
MQ
40
8
0
28 May 2024
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Jerry Chee
Yaohui Cai
Volodymyr Kuleshov
Chris De Sa
MQ
51
189
0
25 Jul 2023
Random-LTD: Random and Layerwise Token Dropping Brings Efficient
  Training for Large-scale Transformers
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers
Z. Yao
Xiaoxia Wu
Conglong Li
Connor Holmes
Minjia Zhang
Cheng-rong Li
Yuxiong He
31
11
0
17 Nov 2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Elias Frantar
Saleh Ashkboos
Torsten Hoefler
Dan Alistarh
MQ
33
904
0
31 Oct 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for
  Large-Scale Transformers
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Z. Yao
Reza Yazdani Aminabadi
Minjia Zhang
Xiaoxia Wu
Conglong Li
Yuxiong He
VLM
MQ
73
448
0
04 Jun 2022
Feeding What You Need by Understanding What You Learned
Feeding What You Need by Understanding What You Learned
Xiaoqiang Wang
Bang Liu
Fangli Xu
Bowei Long
Siliang Tang
Lingfei Wu
65
6
0
05 Mar 2022
Semantic Categorization of Social Knowledge for Commonsense Question
  Answering
Semantic Categorization of Social Knowledge for Commonsense Question Answering
Gengyu Wang
Xiaochen Hou
Diyi Yang
Kathleen McKeown
Jing Huang
VLM
24
3
0
11 Sep 2021
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
14
50
0
01 Oct 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense
  Reasoning
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
Michael Boratko
Xiang Lorraine Li
Rajarshi Das
Timothy J. O'Gorman
Daniel Le
Andrew McCallum
27
56
0
02 May 2020
QASC: A Dataset for Question Answering via Sentence Composition
QASC: A Dataset for Question Answering via Sentence Composition
Tushar Khot
Peter Clark
Michal Guerquin
Peter Alexander Jansen
Ashish Sabharwal
CoGe
39
319
0
25 Oct 2019
Improving Natural Language Inference Using External Knowledge in the
  Science Questions Domain
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyang Wang
Pavan Kapanipathi
Ryan Musa
Mo Yu
Kartik Talamadupula
...
Maria Chang
Achille Fokoue
B. Makni
Nicholas Mattei
Michael Witbrock
18
157
0
15 Sep 2018
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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