ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.02789
  4. Cited By
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book
  Question Answering

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

8 September 2018
Todor Mihaylov
Peter Clark
Tushar Khot
Ashish Sabharwal
ArXivPDFHTML

Papers citing "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"

50 / 357 papers shown
Title
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Yongqi An
Xu Zhao
Tao Yu
Ming Tang
Jinqiao Wang
39
42
0
19 Dec 2023
Zebra: Extending Context Window with Layerwise Grouped Local-Global
  Attention
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention
Kaiqiang Song
Xiaoyang Wang
Sangwoo Cho
Xiaoman Pan
Dong Yu
34
7
0
14 Dec 2023
Measuring and Improving Attentiveness to Partial Inputs with
  Counterfactuals
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Yanai Elazar
Bhargavi Paranjape
Hao Peng
Sarah Wiegreffe
Khyathi Raghavi
Vivek Srikumar
Sameer Singh
Noah A. Smith
AAML
OOD
34
0
0
16 Nov 2023
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence
  Estimation
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
Vaishnavi Shrivastava
Percy Liang
Ananya Kumar
28
28
0
15 Nov 2023
Mirror: A Universal Framework for Various Information Extraction Tasks
Mirror: A Universal Framework for Various Information Extraction Tasks
Tong Zhu
Junfei Ren
Zijian Yu
Mengsong Wu
Guoliang Zhang
Xiaoye Qu
Wenliang Chen
Zhefeng Wang
Baoxing Huai
Min Zhang
38
14
0
09 Nov 2023
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Yuxin Zhang
Lirui Zhao
Mingbao Lin
Yunyun Sun
Yiwu Yao
Xingjia Han
Jared Tanner
Shiwei Liu
Rongrong Ji
SyDa
45
40
0
13 Oct 2023
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for
  Pruning LLMs to High Sparsity
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Lu Yin
You Wu
Zhenyu Zhang
Cheng-Yu Hsieh
Yaqing Wang
...
Mykola Pechenizkiy
Yi Liang
Michael Bendersky
Zhangyang Wang
Shiwei Liu
30
79
0
08 Oct 2023
Network Memory Footprint Compression Through Jointly Learnable Codebooks
  and Mappings
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
Vittorio Giammarino
Arnaud Dapogny
Kévin Bailly
MQ
24
1
0
29 Sep 2023
Graph Neural Prompting with Large Language Models
Graph Neural Prompting with Large Language Models
Yijun Tian
Huan Song
Zichen Wang
Haozhu Wang
Ziqing Hu
Fang Wang
Nitesh V. Chawla
Panpan Xu
AI4CE
37
44
0
27 Sep 2023
Foundation Metrics for Evaluating Effectiveness of Healthcare
  Conversations Powered by Generative AI
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI
Mahyar Abbasian
Elahe Khatibi
Iman Azimi
David Oniani
Zahra Shakeri Hossein Abad
...
Bryant Lin
Olivier Gevaert
Li-Jia Li
Ramesh C. Jain
Amir M. Rahmani
LM&MA
ELM
AI4MH
43
66
0
21 Sep 2023
Knowledge Sanitization of Large Language Models
Knowledge Sanitization of Large Language Models
Yoichi Ishibashi
Hidetoshi Shimodaira
KELM
36
19
0
21 Sep 2023
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
Nolan Dey
Daria Soboleva
Faisal Al-Khateeb
Bowen Yang
Ribhu Pathria
...
Robert Myers
Jacob Robert Steeves
Natalia Vassilieva
Marvin Tom
Joel Hestness
MoE
27
15
0
20 Sep 2023
Norm Tweaking: High-performance Low-bit Quantization of Large Language
  Models
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Liang Li
Qingyuan Li
Bo-Wen Zhang
Xiangxiang Chu
MQ
47
29
0
06 Sep 2023
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence
  Understanding
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
Tianyu Yu
Chengyue Jiang
Chao Lou
Shen Huang
Xiaobin Wang
...
Haitao Zheng
Ningyu Zhang
Pengjun Xie
Fei Huang
Yong-jia Jiang
LRM
59
16
0
21 Aug 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
MQ
24
6
0
10 Aug 2023
Teaching Smaller Language Models To Generalise To Unseen Compositional
  Questions
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill
N. Tan
Michael Witbrock
Patricia J. Riddle
ReLM
KELM
LRM
34
2
0
02 Aug 2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset
  Collection for Conversational AI
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Jianguo Zhang
Kun Qian
Zhiwei Liu
Shelby Heinecke
Rui Meng
Ye Liu
Zhou Yu
Huan Wang
Silvio Savarese
Caiming Xiong
39
22
0
19 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
126
11,099
0
18 Jul 2023
A Simple and Effective Pruning Approach for Large Language Models
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun
Zhuang Liu
Anna Bair
J. Zico Kolter
64
359
0
20 Jun 2023
Explanation Graph Generation via Generative Pre-training over Synthetic
  Graphs
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
H. Cui
Sha Li
Yu Zhang
Qi Shi
19
1
0
01 Jun 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient
  Fine-Tuning
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Baohao Liao
Shaomu Tan
Christof Monz
KELM
23
29
0
01 Jun 2023
Graph Reasoning for Question Answering with Triplet Retrieval
Graph Reasoning for Question Answering with Triplet Retrieval
Shiyang Li
Yifan Gao
Hao Jiang
Qingyu Yin
Zheng Li
Xifeng Yan
Chao Zhang
Bing Yin
RALM
ReLM
18
29
0
30 May 2023
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Zechun Liu
Barlas Oğuz
Changsheng Zhao
Ernie Chang
Pierre Stock
Yashar Mehdad
Yangyang Shi
Raghuraman Krishnamoorthi
Vikas Chandra
MQ
60
190
0
29 May 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language
  Models
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
Yuhui Zhang
Michihiro Yasunaga
Zhengping Zhou
Jeff Z. HaoChen
James Zou
Percy Liang
Serena Yeung
47
7
0
27 May 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for
  LLM KV Cache Compression at Test Time
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
Zichang Liu
Aditya Desai
Fangshuo Liao
Weitao Wang
Victor Xie
Zhaozhuo Xu
Anastasios Kyrillidis
Anshumali Shrivastava
28
202
0
26 May 2023
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
Jie He
U. SimonChiLok
Víctor Gutiérrez-Basulto
Jeff Z. Pan
46
10
0
25 May 2023
Just CHOP: Embarrassingly Simple LLM Compression
Just CHOP: Embarrassingly Simple LLM Compression
A. Jha
Tom Sherborne
Evan Pete Walsh
Dirk Groeneveld
Emma Strubell
Iz Beltagy
30
3
0
24 May 2023
Language Models with Rationality
Language Models with Rationality
Nora Kassner
Oyvind Tafjord
Ashish Sabharwal
Kyle Richardson
Hinrich Schütze
Peter Clark
ReLM
KELM
LRM
20
15
0
23 May 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via
  sub-4-bit Integer Quantization
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Jeonghoon Kim
J. H. Lee
Sungdong Kim
Joonsuk Park
Kang Min Yoo
S. Kwon
Dongsoo Lee
MQ
44
99
0
23 May 2023
RWKV: Reinventing RNNs for the Transformer Era
RWKV: Reinventing RNNs for the Transformer Era
Bo Peng
Eric Alcaide
Quentin G. Anthony
Alon Albalak
Samuel Arcadinho
...
Qihang Zhao
P. Zhou
Qinghua Zhou
Jian Zhu
Rui-Jie Zhu
90
562
0
22 May 2023
Enhancing Small Medical Learners with Privacy-preserving Contextual
  Prompting
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Xinlu Zhang
Shiyang Li
Xianjun Yang
Chenxin Tian
Yao Qin
Linda R. Petzold
28
9
0
22 May 2023
PaLM 2 Technical Report
PaLM 2 Technical Report
Rohan Anil
Andrew M. Dai
Orhan Firat
Melvin Johnson
Dmitry Lepikhin
...
Ce Zheng
Wei Zhou
Denny Zhou
Slav Petrov
Yonghui Wu
ReLM
LRM
128
1,152
0
17 May 2023
Knowledge Rumination for Pre-trained Language Models
Knowledge Rumination for Pre-trained Language Models
Yunzhi Yao
Peng Wang
Shengyu Mao
Chuanqi Tan
Fei Huang
Huajun Chen
Ningyu Zhang
KELM
30
3
0
15 May 2023
Distinguish Before Answer: Generating Contrastive Explanation as
  Knowledge for Commonsense Question Answering
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering
Qianglong Chen
Guohai Xu
Mingshi Yan
Ji Zhang
Fei Huang
Luo Si
Yin Zhang
21
9
0
14 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
29
32
0
09 May 2023
Training Large Language Models Efficiently with Sparsity and Dataflow
Training Large Language Models Efficiently with Sparsity and Dataflow
V. Srinivasan
Darshan Gandhi
Urmish Thakker
R. Prabhakar
MoE
38
6
0
11 Apr 2023
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for
  Medical domain
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain
Yanis Labrak
Adrien Bazoge
Richard Dufour
Mickael Rouvier
Emmanuel Morin
B. Daille
P. Gourraud
27
30
0
09 Apr 2023
RPTQ: Reorder-based Post-training Quantization for Large Language Models
RPTQ: Reorder-based Post-training Quantization for Large Language Models
Zhihang Yuan
Lin Niu
Jia-Wen Liu
Wenyu Liu
Xinggang Wang
Yuzhang Shang
Guangyu Sun
Qiang Wu
Jiaxiang Wu
Bingzhe Wu
MQ
35
79
0
03 Apr 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
85
789
0
30 Mar 2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
Thuy-Trang Vu
Xuanli He
Gholamreza Haffari
Ehsan Shareghi
CLL
27
13
0
26 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
53
0
26 Mar 2023
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Dhaval Taunk
Lakshya Khanna
Pavan Kandru
Vasudeva Varma
Charu Sharma
Makarand Tapaswi
19
22
0
22 Mar 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Zhen Wang
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Huan Sun
Yoon Kim
VLM
VPVLM
44
107
0
06 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
55
12,368
0
27 Feb 2023
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question
  Answering
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
Qichen Ye
Bowen Cao
Nuo Chen
Weiyuan Xu
Yuexian Zou
26
16
0
23 Feb 2023
In-context Example Selection with Influences
In-context Example Selection with Influences
Nguyen Tai
Eric Wong
13
48
0
21 Feb 2023
Bounding the Capabilities of Large Language Models in Open Text
  Generation with Prompt Constraints
Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Albert Lu
Hongxin Zhang
Yanzhe Zhang
Xuezhi Wang
Diyi Yang
LRM
32
28
0
17 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Chenyu You
VLM
LRM
23
15
0
16 Feb 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization Algorithms
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
67
353
0
13 Feb 2023
Causal Reasoning of Entities and Events in Procedural Texts
Causal Reasoning of Entities and Events in Procedural Texts
Li Zhang
Hainiu Xu
Yue Yang
Shuyan Zhou
Weiqiu You
Manni Arora
Chris Callison-Burch
ReLM
LRM
36
35
0
26 Jan 2023
Previous
12345678
Next