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. 1905.10044
  4. Cited By
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
ArXivPDFHTML

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

50 / 1,040 papers shown
Title
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for
  Continual Learning
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning
Min Jae Jung
Romain Rouvoy
KELM
MoE
CLL
46
2
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
35
5
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
44
11
0
29 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
32
5
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
55
3
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
ALM
MQ
35
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
Xiuying Chen
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
52
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
53
6
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
40
7
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
42
11
0
22 Jul 2024
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
55
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
51
10
0
19 Jul 2024
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-Bin Lin
Ngai Wong
PILM
60
46
0
18 Jul 2024
Reconstruct the Pruned Model without Any Retraining
Reconstruct the Pruned Model without Any Retraining
Pingjie Wang
Ziqing Fan
Shengchao Hu
Zhe Chen
Yanfeng Wang
Yu Wang
50
1
0
18 Jul 2024
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
57
2
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
36
2
0
16 Jul 2024
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&MA
ELM
27
2
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
34
3
0
13 Jul 2024
Low-Rank Interconnected Adaptation Across Layers
Low-Rank Interconnected Adaptation Across Layers
Yibo Zhong
Yao Zhou
OffRL
MoE
48
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
32
3
0
13 Jul 2024
MaskMoE: Boosting Token-Level Learning via Routing Mask in
  Mixture-of-Experts
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts
Zhenpeng Su
Zijia Lin
Xue Bai
Xing Wu
Yizhe Xiong
...
Guangyuan Ma
Hui Chen
Guiguang Ding
Wei Zhou
Songlin Hu
MoE
34
5
0
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
40
9
0
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
35
1
0
11 Jul 2024
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
43
7
0
10 Jul 2024
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
Yonghong Tian
Wenqi Shao
Peng Xu
Jiahao Wang
Peng Gao
Kaipeng Zhang
Ping Luo
MQ
46
26
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
31
7
0
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-Shen Lin
Daren Zha
Wei Liu
Jian Luan
Bin Wang
Weiping Wang
60
1
0
08 Jul 2024
LLMBox: A Comprehensive Library for Large Language Models
LLMBox: A Comprehensive Library for Large Language Models
Tianyi Tang
Yiwen Hu
Bingqian Li
Wenyang Luo
Zijing Qin
...
Chunxuan Xia
Junyi Li
Kun Zhou
Wayne Xin Zhao
Ji-Rong Wen
44
1
0
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
...
Rishabh Agarwal
David Lindner
Yunhao Tang
Noah D. Goodman
Rohin Shah
ELM
43
29
0
05 Jul 2024
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
58
5
0
05 Jul 2024
A Systematic Survey and Critical Review on Evaluating Large Language
  Models: Challenges, Limitations, and Recommendations
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
...
Chee Wei Tan
Md. Rizwan Parvez
Enamul Hoque
Chenyu You
Jimmy Huang
ELM
ALM
31
28
0
04 Jul 2024
Improving Conversational Abilities of Quantized Large Language Models
  via Direct Preference Alignment
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
Janghwan Lee
Seongmin Park
S. Hong
Minsoo Kim
Du-Seong Chang
Jungwook Choi
37
4
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
ELM
LLMAG
48
2
0
02 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
Hasna Chouikhi
Manel Aloui
Cyrine Ben Hammou
Ghaith Chaabane
Haithem Kchaou
Chehir Dhaouadi
44
0
0
02 Jul 2024
Calibrated Large Language Models for Binary Question Answering
Calibrated Large Language Models for Binary Question Answering
Patrizio Giovannotti
Alexander Gammerman
36
0
0
01 Jul 2024
FoldGPT: Simple and Effective Large Language Model Compression Scheme
FoldGPT: Simple and Effective Large Language Model Compression Scheme
Songwei Liu
Chao Zeng
Lianqiang Li
Chenqian Yan
Lean Fu
Xing Mei
Fangmin Chen
48
4
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
22
4
0
28 Jun 2024
YuLan: An Open-source Large Language Model
YuLan: An Open-source Large Language Model
Yutao Zhu
Kun Zhou
Kelong Mao
Wentong Chen
Yiding Sun
...
Wenbing Huang
Ze-Feng Gao
Yueguo Chen
Weizheng Lu
Ji-Rong Wen
ALM
ELM
44
0
0
28 Jun 2024
Data Generation Using Large Language Models for Text Classification: An
  Empirical Case Study
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study
Yinheng Li
Rogerio Bonatti
Sara Abdali
Justin Wagle
K. Koishida
SyDa
49
7
0
27 Jun 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo
Sonam Damani
Keng-hao Chang
VLM
36
1
0
27 Jun 2024
UniGen: A Unified Framework for Textual Dataset Generation Using Large
  Language Models
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models
Siyuan Wu
Yue Huang
Chujie Gao
Dongping Chen
Qihui Zhang
...
Tianyi Zhou
Xiangliang Zhang
Jianfeng Gao
Chaowei Xiao
Lichao Sun
SyDa
40
22
0
27 Jun 2024
OutlierTune: Efficient Channel-Wise Quantization for Large Language
  Models
OutlierTune: Efficient Channel-Wise Quantization for Large Language Models
Jinguang Wang
Yuexi Yin
Haifeng Sun
Qi Qi
Jingyu Wang
Zirui Zhuang
Tingting Yang
Jianxin Liao
46
2
0
27 Jun 2024
Paraphrase and Aggregate with Large Language Models for Minimizing
  Intent Classification Errors
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
Vikas Yadav
Zheng Tang
Vijay Srinivasan
32
8
0
24 Jun 2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Ashwinee Panda
Berivan Isik
Xiangyu Qi
Sanmi Koyejo
Tsachy Weissman
Prateek Mittal
MoMe
45
13
0
24 Jun 2024
Scaling Laws for Linear Complexity Language Models
Scaling Laws for Linear Complexity Language Models
Xuyang Shen
Dong Li
Ruitao Leng
Zhen Qin
Weigao Sun
Yiran Zhong
LRM
33
6
0
24 Jun 2024
Compensate Quantization Errors: Make Weights Hierarchical to Compensate
  Each Other
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other
Yifei Gao
Jie Ou
Lei Wang
Yuting Xiao
Zhiyuan Xiang
Ruiting Dai
Jun Cheng
MQ
36
3
0
24 Jun 2024
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Deyuan Liu
Zhanyue Qin
Han Wang
Zhao Yang
Zecheng Wang
...
Zhao Lv
Zhiying Tu
Dianhui Chu
Bo Li
Dianbo Sui
29
2
0
24 Jun 2024
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
Peng Hu
Sizhe Liu
Changjiang Gao
Xin Huang
Xue Han
Junlan Feng
Chao Deng
Shujian Huang
LRM
46
1
0
24 Jun 2024
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large
  Language Models without Training through Attention Calibration
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
Zhongzhi Yu
Zheng Wang
Yonggan Fu
Huihong Shi
Khalid Shaikh
Yingyan Celine Lin
51
21
0
22 Jun 2024
RankAdaptor: Hierarchical Dynamic Low-Rank Adaptation for Structural
  Pruned LLMs
RankAdaptor: Hierarchical Dynamic Low-Rank Adaptation for Structural Pruned LLMs
Changhai Zhou
Shijie Han
Shiyang Zhang
Shichao Weng
Zekai Liu
Cheng Jin
45
1
0
22 Jun 2024
Previous
123...678...192021
Next