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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
Punctuation Restoration Improves Structure Understanding Without Supervision
Punctuation Restoration Improves Structure Understanding Without Supervision
Junghyun Min
Minho Lee
Woochul Lee
Yeonsoo Lee
157
1
0
13 Feb 2024
Differentially Private Zeroth-Order Methods for Scalable Large Language
  Model Finetuning
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning
Zhicheng Liu
Jian Lou
Wenxuan Bao
Yihan Hu
Baochun Li
Zhan Qin
K. Ren
122
10
0
12 Feb 2024
Retrieval-Augmented Thought Process as Sequential Decision Making
Retrieval-Augmented Thought Process as Sequential Decision Making
T. Pouplin
Hao Sun
Samuel Holt
M. Schaar
KELMRALMLRM
18
2
0
12 Feb 2024
Anchor-based Large Language Models
Anchor-based Large Language Models
Jianhui Pang
Fanghua Ye
Derek F. Wong
Xin He
Wanshun Chen
Longyue Wang
KELM
154
10
0
12 Feb 2024
Whispers in the Machine: Confidentiality in LLM-integrated Systems
Whispers in the Machine: Confidentiality in LLM-integrated Systems
Jonathan Evertz
Merlin Chlosta
Lea Schonherr
Thorsten Eisenhofer
119
21
0
10 Feb 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALMLM&MAELM
246
425
0
09 Feb 2024
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
Haotong Qin
Xudong Ma
Xingyu Zheng
Xiaoyang Li
Yang Zhang
Shouda Liu
Jie Luo
Xianglong Liu
Michele Magno
MQ
74
39
0
08 Feb 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank
  Modifications
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei
Kaixuan Huang
Yangsibo Huang
Tinghao Xie
Xiangyu Qi
Mengzhou Xia
Prateek Mittal
Mengdi Wang
Peter Henderson
AAML
151
118
0
07 Feb 2024
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large
  Language Models
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
Hyesung Jeon
Yulhwa Kim
Jae-Joon Kim
MQ
62
5
0
07 Feb 2024
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
Baohao Liao
Christian Herold
Shahram Khadivi
Christof Monz
CLLMQ
129
15
0
07 Feb 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang
Yangdong Liu
Haotong Qin
Ying Li
Shiming Zhang
Xianglong Liu
Michele Magno
Xiaojuan Qi
MQ
137
85
0
06 Feb 2024
Are Machines Better at Complex Reasoning? Unveiling Human-Machine
  Inference Gaps in Entailment Verification
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
Soumya Sanyal
Tianyi Xiao
Jiacheng Liu
Wenya Wang
Xiang Ren
LRMReLM
129
12
0
06 Feb 2024
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison
  of Retraining Methods
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
Bo-Kyeong Kim
Geonmin Kim
Tae-Ho Kim
Thibault Castells
Shinkook Choi
Junho Shin
Hyoung-Kyu Song
112
40
0
05 Feb 2024
LQER: Low-Rank Quantization Error Reconstruction for LLMs
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Cheng Zhang
Jianyi Cheng
George A. Constantinides
Yiren Zhao
MQ
103
15
0
04 Feb 2024
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs
  Improves Reasoning in Smaller Language Models
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
Justin Chih-Yao Chen
Swarnadeep Saha
Elias Stengel-Eskin
Mohit Bansal
LRMLLMAG
76
22
0
02 Feb 2024
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through
  Process Feedback
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
Jian Guan
Wei Wu
Zujie Wen
Peng Xu
Hongning Wang
Minlie Huang
LRM
73
20
0
02 Feb 2024
Can Large Language Models Understand Context?
Can Large Language Models Understand Context?
Yilun Zhu
Joel Ruben Antony Moniz
Shruti Bhargava
Jiarui Lu
Dhivya Piraviperumal
Site Li
Yuan-kang Zhang
Hong-ye Yu
Bo-Hsiang Tseng
89
26
0
01 Feb 2024
OLMo: Accelerating the Science of Language Models
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld
Iz Beltagy
Pete Walsh
Akshita Bhagia
Rodney Michael Kinney
...
Jesse Dodge
Kyle Lo
Luca Soldaini
Noah A. Smith
Hanna Hajishirzi
OSLM
208
413
0
01 Feb 2024
Contextual Feature Extraction Hierarchies Converge in Large Language
  Models and the Brain
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
Gavin Mischler
Yinghao Aaron Li
Stephan Bickel
A. Mehta
N. Mesgarani
78
31
0
31 Jan 2024
H2O-Danube-1.8B Technical Report
H2O-Danube-1.8B Technical Report
Philipp Singer
Pascal Pfeiffer
Yauhen Babakhin
Maximilian Jeblick
Nischay Dhankhar
Gabor Fodor
SriSatish Ambati
VLM
60
8
0
30 Jan 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language
  Modeling
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Pratyush Maini
Skyler Seto
Richard He Bai
David Grangier
Yizhe Zhang
Navdeep Jaitly
SyDa
89
67
0
29 Jan 2024
Finding Challenging Metaphors that Confuse Pretrained Language Models
Finding Challenging Metaphors that Confuse Pretrained Language Models
Yucheng Li
Frank Guerin
Chenghua Lin
61
3
0
29 Jan 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
Yongkang Liu
Yiqun Zhang
Qian Li
Tong Liu
Shi Feng
Daling Wang
Yifei Zhang
Hinrich Schütze
87
9
0
26 Jan 2024
Airavata: Introducing Hindi Instruction-tuned LLM
Airavata: Introducing Hindi Instruction-tuned LLM
Jay Gala
Thanmay Jayakumar
Jaavid Aktar Husain
M. AswanthKumar
Mohammed Safi Ur Rahman Khan
...
Ratish Puduppully
Mitesh M. Khapra
Raj Dabre
Rudra Murthy
Anoop Kunchukuttan
91
27
0
26 Jan 2024
RomanSetu: Efficiently unlocking multilingual capabilities of Large
  Language Models via Romanization
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization
Jaavid Aktar Husain
Raj Dabre
Aswanth Kumar
Jay Gala
Thanmay Jayakumar
Ratish Puduppully
Anoop Kunchukuttan
123
15
0
25 Jan 2024
Towards Consistent Natural-Language Explanations via
  Explanation-Consistency Finetuning
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
Yanda Chen
Chandan Singh
Xiaodong Liu
Simiao Zuo
Bin Yu
He He
Jianfeng Gao
LRM
76
14
0
25 Jan 2024
DsDm: Model-Aware Dataset Selection with Datamodels
DsDm: Model-Aware Dataset Selection with Datamodels
Logan Engstrom
Axel Feldmann
Aleksander Madry
OODD
104
61
0
23 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A
  Survey
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
an Luo
Xin Xu
Yue Liu
Panupong Pasupat
Mehran Kazemi
RALM
138
70
0
21 Jan 2024
Instructional Fingerprinting of Large Language Models
Instructional Fingerprinting of Large Language Models
Lyne Tchapmi
Fei Wang
Mingyu Derek Ma
Pang Wei Koh
Chaowei Xiao
Muhao Chen
WaLM
67
33
0
21 Jan 2024
Knowledge Fusion of Large Language Models
Knowledge Fusion of Large Language Models
Fanqi Wan
Xinting Huang
Deng Cai
Xiaojun Quan
Wei Bi
Shuming Shi
MoMe
106
73
0
19 Jan 2024
Controllable Decontextualization of Yes/No Question and Answers into
  Factual Statements
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements
Lingbo Mo
B. Fetahu
Oleg Rokhlenko
S. Malmasi
82
0
0
18 Jan 2024
INTERS: Unlocking the Power of Large Language Models in Search with
  Instruction Tuning
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
Yutao Zhu
Peitian Zhang
Chenghao Zhang
Yifei Chen
Binyu Xie
Zheng Liu
Ji-Rong Wen
Zhicheng Dou
60
17
0
12 Jan 2024
Model Editing Harms General Abilities of Large Language Models:
  Regularization to the Rescue
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
Jia-Chen Gu
Haoyang Xu
Jun-Yu Ma
Pan Lu
Zhen-Hua Ling
Kai-Wei Chang
Nanyun Peng
KELM
118
55
0
09 Jan 2024
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence
  Lengths in Large Language Models
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Zhen Qin
Weigao Sun
Dong Li
Xuyang Shen
Weixuan Sun
Yiran Zhong
119
28
0
09 Jan 2024
The Critique of Critique
The Critique of Critique
Shichao Sun
Junlong Li
Weizhe Yuan
Ruifeng Yuan
Wenjie Li
Pengfei Liu
ELM
75
0
0
09 Jan 2024
Mixtral of Experts
Mixtral of Experts
Albert Q. Jiang
Alexandre Sablayrolles
Antoine Roux
A. Mensch
Blanche Savary
...
Théophile Gervet
Thibaut Lavril
Thomas Wang
Timothée Lacroix
William El Sayed
MoELLMAG
171
1,128
0
08 Jan 2024
The Butterfly Effect of Altering Prompts: How Small Changes and
  Jailbreaks Affect Large Language Model Performance
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
A. Salinas
Fred Morstatter
91
55
0
08 Jan 2024
TinyLlama: An Open-Source Small Language Model
TinyLlama: An Open-Source Small Language Model
Peiyuan Zhang
Guangtao Zeng
Tianduo Wang
Wei Lu
ALMLRM
188
409
0
04 Jan 2024
Understanding LLMs: A Comprehensive Overview from Training to Inference
Understanding LLMs: A Comprehensive Overview from Training to Inference
Yi-Hsueh Liu
Haoyang He
Tianle Han
Xu-Yao Zhang
Mengyuan Liu
...
Xintao Hu
Tuo Zhang
Ning Qiang
Tianming Liu
Bao Ge
SyDa
155
79
0
04 Jan 2024
Fast and Optimal Weight Update for Pruned Large Language Models
Fast and Optimal Weight Update for Pruned Large Language Models
Vladimír Boza
70
5
0
01 Jan 2024
The Earth is Flat? Unveiling Factual Errors in Large Language Models
The Earth is Flat? Unveiling Factual Errors in Large Language Models
Wenxuan Wang
Juluan Shi
Zhaopeng Tu
Youliang Yuan
Jen-tse Huang
Wenxiang Jiao
Michael R. Lyu
KELMHILMSyDa
95
2
0
01 Jan 2024
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana
Jacob P. Portes
Sasha Doubov
Jonathan Frankle
LRM
403
88
0
31 Dec 2023
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision,
  Language, Audio, and Action
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Jiasen Lu
Christopher Clark
Sangho Lee
Zichen Zhang
Savya Khosla
Ryan Marten
Derek Hoiem
Aniruddha Kembhavi
VLMMLLM
100
174
0
28 Dec 2023
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile
  Devices
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices
Xiangxiang Chu
Limeng Qiao
Xinyang Lin
Shuang Xu
Yang Yang
...
Fei Wei
Xinyu Zhang
Bo Zhang
Xiaolin Wei
Chunhua Shen
MLLM
130
44
0
28 Dec 2023
How Robust are LLMs to In-Context Majority Label Bias?
How Robust are LLMs to In-Context Majority Label Bias?
Karan Gupta
Sumegh Roychowdhury
Siva Rajesh Kasa
Santhosh Kumar Kasa
Anish Bhanushali
Nikhil Pattisapu
Prasanna Srinivasa Murthy
113
10
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27 Dec 2023
PanGu-$π$: Enhancing Language Model Architectures via Nonlinearity
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Yunhe Wang
Hanting Chen
Yehui Tang
Tianyu Guo
Kai Han
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Qinghua Xu
Qun Liu
Jun Yao
Chao Xu
Dacheng Tao
128
20
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27 Dec 2023
Task Contamination: Language Models May Not Be Few-Shot Anymore
Task Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li
Jeffrey Flanigan
173
104
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ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and
  Uncertainty in Zeroth-order Optimization
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization
Shuoran Jiang
Qingcai Chen
Youcheng Pan
Yang Xiang
Yukang Lin
Xiangping Wu
Chuanyi Liu
Xiaobao Song
ODL
75
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PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
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Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
175
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ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
164
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