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BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

24 May 2019
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
ArXiv (abs)PDFHTML

Papers citing "BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions"

50 / 1,143 papers shown
Title
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware
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MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Xi Lin
Akshat Shrivastava
Liang Luo
Srinivasan Iyer
Mike Lewis
Gargi Gosh
Luke Zettlemoyer
Armen Aghajanyan
MoE
113
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0
31 Jul 2024
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for
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PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning
Min Jae Jung
Romain Rouvoy
KELMMoECLL
83
4
0
31 Jul 2024
Pruning Large Language Models with Semi-Structural Adaptive Sparse
  Training
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
Weiyu Huang
Yuezhou Hu
Guohao Jian
Jun Zhu
Jianfei Chen
107
8
0
30 Jul 2024
Can Editing LLMs Inject Harm?
Can Editing LLMs Inject Harm?
Canyu Chen
Baixiang Huang
Zekun Li
Zhaorun Chen
Shiyang Lai
...
Xifeng Yan
William Wang
Philip Torr
Dawn Song
Kai Shu
KELM
144
15
0
29 Jul 2024
Parameter-Efficient Fine-Tuning via Circular Convolution
Parameter-Efficient Fine-Tuning via Circular Convolution
Aochuan Chen
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu-Feng Li
Jia Li
148
3
0
27 Jul 2024
Greedy Output Approximation: Towards Efficient Structured Pruning for
  LLMs Without Retraining
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
Jianwei Li
Yijun Dong
Qi Lei
103
6
0
26 Jul 2024
Enhancing Agent Learning through World Dynamics Modeling
Enhancing Agent Learning through World Dynamics Modeling
Zhiyuan Sun
Haochen Shi
Marc-Alexandre Côté
Glen Berseth
Xingdi Yuan
Bang Liu
94
4
0
25 Jul 2024
Accurate and Efficient Fine-Tuning of Quantized Large Language Models
  Through Optimal Balance
Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance
Ao Shen
Qiang Wang
Zhiquan Lai
Xionglve Li
Dongsheng Li
ALMMQ
54
1
0
24 Jul 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical
  Research Question Answering
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Preslav Nakov
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
95
3
0
24 Jul 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task
  Haystack
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
Xiaoyue Xu
Qinyuan Ye
Xiang Ren
127
10
0
23 Jul 2024
A deeper look at depth pruning of LLMs
A deeper look at depth pruning of LLMs
Shoaib Ahmed Siddiqui
Xin Dong
Greg Heinrich
Thomas Breuel
Jan Kautz
David M. Krueger
Pavlo Molchanov
74
11
0
23 Jul 2024
ALLaM: Large Language Models for Arabic and English
ALLaM: Large Language Models for Arabic and English
M Saiful Bari
Yazeed Alnumay
Norah A. Alzahrani
Nouf M. Alotaibi
H. A. Alyahya
...
Jeril Kuriakose
Abdalghani Abujabal
Nora Al-Twairesh
Areeb Alowisheq
Haidar Khan
68
17
0
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Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Yifei Gao
Jie Ou
Lei Wang
Fanhua Shang
Jaji Wu
MQ
94
0
0
22 Jul 2024
Longhorn: State Space Models are Amortized Online Learners
Longhorn: State Space Models are Amortized Online Learners
Bo Liu
Rui Wang
Lemeng Wu
Yihao Feng
Peter Stone
Qian Liu
119
14
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Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
Chaofan Tao
Qian Liu
Longxu Dou
Niklas Muennighoff
Zhongwei Wan
Ping Luo
Min Lin
Ngai Wong
PILM
128
54
0
18 Jul 2024
Reconstruct the Pruned Model without Any Retraining
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Pingjie Wang
Ziqing Fan
Shengchao Hu
Zhe Chen
Yanfeng Wang
Yu Wang
82
2
0
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MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
Hongrong Cheng
Miao Zhang
J. Q. Shi
105
3
0
16 Jul 2024
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
Jung Hyun Lee
Jeonghoon Kim
J. Yang
S. Kwon
Eunho Yang
Kang Min Yoo
Dongsoo Lee
MQ
138
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Evaluating Large Language Models with fmeval
Evaluating Large Language Models with fmeval
Pola Schwöbel
Luca Franceschi
Muhammad Bilal Zafar
Keerthan Vasist
Aman Malhotra
Tomer Shenhar
Pinal Tailor
Pinar Yilmaz
Michael Diamond
Michele Donini
LM&MAELM
106
3
0
15 Jul 2024
Bilingual Adaptation of Monolingual Foundation Models
Bilingual Adaptation of Monolingual Foundation Models
Gurpreet Gosal
Yishi Xu
Gokul Ramakrishnan
Rituraj Joshi
Avraham Sheinin
...
Rahul Pal
Parvez Mullah
Soundar Doraiswamy
Mohamed El Karim Chami
Preslav Nakov
CLL
105
3
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MaskMoE: Boosting Token-Level Learning via Routing Mask in
  Mixture-of-Experts
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Zhenpeng Su
Zijia Lin
Xue Bai
Xing Wu
Yizhe Xiong
...
Guangyuan Ma
Hui Chen
Guiguang Ding
Wei Zhou
Songlin Hu
MoE
93
5
0
13 Jul 2024
Low-Rank Interconnected Adaptation across Layers
Low-Rank Interconnected Adaptation across Layers
Yibo Zhong
Jinman Zhao
Yao Zhou
OffRLMoE
114
1
0
13 Jul 2024
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting
Sanchit Ahuja
Kumar Tanmay
Hardik Hansrajbhai Chauhan
Barun Patra
Kriti Aggarwal
...
Tejas I. Dhamecha
Ahmed Awadallah
Monojit Choudhary
Vishrav Chaudhary
Sunayana Sitaram
85
4
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13 Jul 2024
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
Zeliang Zhang
Xiaodong Liu
Hao Cheng
Chenliang Xu
Jianfeng Gao
MoE
163
11
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12 Jul 2024
SoupLM: Model Integration in Large Language and Multi-Modal Models
SoupLM: Model Integration in Large Language and Multi-Modal Models
Yue Bai
Zichen Zhang
Jiasen Lu
Yun Fu
MoMe
59
1
0
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RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective
  Weight-Activation Quantization
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
Xijie Huang
Zechun Liu
Shih-yang Liu
Kwang-Ting Cheng
MQ
91
9
0
10 Jul 2024
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
Mengzhao Chen
Wenqi Shao
Peng Xu
Jiahao Wang
Peng Gao
Kaipeng Zhang
Ping Luo
MQ
154
35
0
10 Jul 2024
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive
  Distillation
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
Liqun Ma
Mingjie Sun
Zhiqiang Shen
83
9
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09 Jul 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with
  Transitional Activations
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
Bowen Shen
Zheng Lin
Daren Zha
Wei Liu
Jian Luan
Bin Wang
Weiping Wang
124
2
0
08 Jul 2024
LLMBox: A Comprehensive Library for Large Language Models
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Tianyi Tang
Yiwen Hu
Bingqian Li
Wenyang Luo
Zijing Qin
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Chunxuan Xia
Junyi Li
Kun Zhou
Wayne Xin Zhao
Ji-Rong Wen
62
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08 Jul 2024
On scalable oversight with weak LLMs judging strong LLMs
On scalable oversight with weak LLMs judging strong LLMs
Zachary Kenton
Noah Y. Siegel
János Kramár
Jonah Brown-Cohen
Samuel Albanie
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Rishabh Agarwal
David Lindner
Yunhao Tang
Noah D. Goodman
Rohin Shah
ELM
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SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Xingrun Xing
Boyan Gao
Zheng Zhang
David A. Clifton
Shitao Xiao
Li Du
Guoqi Li
Jiajun Zhang
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A Systematic Survey and Critical Review on Evaluating Large Language
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A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar
Sawsan Alqahtani
M Saiful Bari
Mizanur Rahman
Mohammad Abdullah Matin Khan
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Chee Wei Tan
Md. Rizwan Parvez
Enamul Hoque
Shafiq Joty
Jimmy Huang
ELMALM
105
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Improving Conversational Abilities of Quantized Large Language Models
  via Direct Preference Alignment
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Janghwan Lee
Seongmin Park
S. Hong
Minsoo Kim
Du-Seong Chang
Jungwook Choi
44
6
0
03 Jul 2024
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large
  Language Models
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models
Kangyun Ning
Yisong Su
Xueqiang Lv
Yuanzhe Zhang
Jian Liu
Kang Liu
Jinan Xu
ELMLLMAG
78
3
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GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
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Manel Aloui
Cyrine Ben Hammou
Ghaith Chaabane
Haithem Kchaou
Chehir Dhaouadi
67
0
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Calibrated Large Language Models for Binary Question Answering
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Patrizio Giovannotti
Alexander Gammerman
55
1
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FoldGPT: Simple and Effective Large Language Model Compression Scheme
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Songwei Liu
Chao Zeng
Lianqiang Li
Chenqian Yan
Lean Fu
Xing Mei
Fangmin Chen
86
5
0
01 Jul 2024
Calibrating LLMs with Preference Optimization on Thought Trees for
  Generating Rationale in Science Question Scoring
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
Jiazheng Li
Hainiu Xu
ZHAOYUE SUN
Yuxiang Zhou
David West
Cesare Aloisi
Yulan He
LRM
69
4
0
28 Jun 2024
YuLan: An Open-source Large Language Model
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Yutao Zhu
Kun Zhou
Kelong Mao
Wentong Chen
Yiding Sun
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Wenbing Huang
Ze-Feng Gao
Yueguo Chen
Weizheng Lu
Ji-Rong Wen
ALMELM
62
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28 Jun 2024
Data Generation Using Large Language Models for Text Classification: An
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Yinheng Li
Rogerio Bonatti
Sara Abdali
Justin Wagle
K. Koishida
SyDa
91
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LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
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Shouchang Guo
Sonam Damani
Keng-hao Chang
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27 Jun 2024
OutlierTune: Efficient Channel-Wise Quantization for Large Language
  Models
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Yuexi Yin
Haifeng Sun
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Zirui Zhuang
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DataGen: Unified Synthetic Dataset Generation via Large Language Models
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Xiangliang Zhang
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SyDa
118
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Paraphrase and Aggregate with Large Language Models for Minimizing
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Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
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Scaling Laws for Linear Complexity Language Models
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Compensate Quantization Errors: Make Weights Hierarchical to Compensate
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Yifei Gao
Jie Ou
Lei Wang
Yuting Xiao
Zhiyuan Xiang
Ruiting Dai
Jun Cheng
MQ
54
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Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
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Zhan Qin
Han Wang
Zhao Yang
Zecheng Wang
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Zhao Lv
Zhiying Tu
Dianhui Chu
Bo Li
Dianbo Sui
116
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Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
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Peng Hu
Sizhe Liu
Changjiang Gao
Xin Huang
Xue Han
Junlan Feng
Chao Deng
Shujian Huang
LRM
119
5
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24 Jun 2024
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