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

24 May 2019

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

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Title
Analog Foundation Models Julian Büchel Iason Chalas Giovanni Acampa An Chen Omobayode Fagbohungbe Sidney Tsai K. E. Maghraoui M. Le Gallo Abbas Rahimi A. Sebastian MQ 23 0 0 14 May 2025
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Guang Yan Yuhui Zhang Zimu Guo Lutan Zhao Xiaojun Chen Chen Wang Wenhao Wang Dan Meng Rui Hou 29 0 0 12 May 2025
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance Jinuk Kim Marwa El Halabi W. Park Clemens JS Schaefer Deokjae Lee Yeonhong Park Jae W. Lee Hyun Oh Song MQ 26 0 0 11 May 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU Yuxin Zhou Zheng Li J. Zhang Jue Wang Y. Wang Zhongle Xie Ke Chen Lidan Shou MoE 46 0 0 09 May 2025
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A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning Junzhou Xu Boyu Diao MoE 44 0 0 06 May 2025
ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations Dmitriy Shopkhoev Ammar Ali Magauiya Zhussip Valentin Malykh Stamatios Lefkimmiatis N. Komodakis Sergey Zagoruyko VLM 96 0 0 05 May 2025
An Empirical Study of Qwen3 Quantization Xingyu Zheng Yuye Li Haoran Chu Yue Feng Xudong Ma Jie Luo Jinyang Guo Haotong Qin Michele Magno Xianglong Liu MQ 29 0 0 04 May 2025
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients Yezhen Wang Zhouhao Yang Brian K Chen Fanyi Pu Bo-wen Li Tianyu Gao Kenji Kawaguchi 41 0 0 03 May 2025
Don't be lazy: CompleteP enables compute-efficient deep transformers Nolan Dey Bin Claire Zhang Lorenzo Noci Mufan Bill Li Blake Bordelon Shane Bergsma C. Pehlevan Boris Hanin Joel Hestness 39 0 0 02 May 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance Xing Hu Zhixuan Chen Dawei Yang Zukang Xu Chen Xu Zhihang Yuan Sifan Zhou Jiangyong Yu MoE MQ 39 0 0 02 May 2025
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free Euntae Choi Sumin Song Woosang Lim Sungjoo Yoo 27 0 0 02 May 2025
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth Changhai Zhou Yuhua Zhou Qian Qiao Weizhong Zhang Cheng Jin MQ 27 0 0 02 May 2025
Emotions in the Loop: A Survey of Affective Computing for Emotional Support Karishma Hegde Hemadri Jayalath 27 0 0 02 May 2025
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Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection Ziqing Fan Siyuan Du Shengchao Hu Pingjie Wang Li Shen Y. Zhang Dacheng Tao Y. Wang 41 1 0 29 Apr 2025
Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training Qitao Tan Sung-En Chang Rui Xia Huidong Ji Chence Yang ... Zheng Zhan Zhou Zou Y. Wang Jin Lu Geng Yuan 41 0 0 28 Apr 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu (Allen) Zhang Zechun Liu Yuandong Tian Harshit Khaitan Z. Wang Steven Li 57 0 0 28 Apr 2025
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving J. Zhang Flood Sung Z. Yang Yang Gao Chongjie Zhang LLMAG 38 0 0 28 Apr 2025
Bi-directional Model Cascading with Proxy Confidence David Warren Mark Dras 44 0 0 27 Apr 2025
Scaling Laws For Scalable Oversight Joshua Engels David D. Baek Subhash Kantamneni Max Tegmark ELM 70 0 0 25 Apr 2025
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation Luca Moroni Giovanni Puccetti Pere-Lluís Huguet Cabot Andrei Stefan Bejgu Edoardo Barba Alessio Miaschi F. Dell’Orletta Andrea Esuli Roberto Navigli 30 0 0 23 Apr 2025
Compass-V2 Technical Report Sophia Maria MoE LRM 31 0 0 22 Apr 2025
Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator Akshat Ramachandran Souvik Kundu Arnab Raha Shamik Kundu Deepak K. Mathaikutty Tushar Krishna 27 1 0 19 Apr 2025
$D$^{2}$MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving$ D $^{2}$ MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving Haodong Wang Qihua Zhou Zicong Hong Song Guo MoE 47 0 0 17 Apr 2025
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization Ali Behrouz Meisam Razaviyayn Peilin Zhong Vahab Mirrokni 36 0 0 17 Apr 2025
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models Yuanbo Tang Yan Tang N. Zhang Meixuan Chen Yang Li MoE 39 0 0 16 Apr 2025
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LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA Xanh Ho Jiahao Huang Florian Boudin Akiko Aizawa ELM 29 0 0 16 Apr 2025
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Resampling Benchmark for Efficient Comprehensive Evaluation of Large Vision-Language Models Teppei Suzuki Keisuke Ozawa VLM 46 0 0 14 Apr 2025
Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining Deyu Cao Samin Aref MQ 27 0 0 14 Apr 2025
Can the capability of Large Language Models be described by human ability? A Meta Study Mingrui Zan Yunquan Zhang Boyang Zhang Fangming Liu Daning Cheng ELM LM&MA 55 0 0 13 Apr 2025
Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance Ram Mohan Rao Kadiyala Siddartha Pullakhandam Siddhant Gupta Drishti Sharma Jebish Purbey Kanwal Mehreen Muhammad Arham Hamza Farooq 27 0 0 13 Apr 2025
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation Juzheng Zhang Jiacheng You Ashwinee Panda Tom Goldstein MoMe 51 0 0 10 Apr 2025
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty Xiaohua Feng Yuyuan Li C. Wang Junlin Liu L. Zhang Chaochao Chen MU 29 0 0 09 Apr 2025
Encoder-Decoder Gemma: Improving the Quality-Efficiency Trade-Off via Adaptation Biao Zhang Fedor Moiseev Joshua Ainslie Paul Suganthan Min Ma Surya Bhupatiraju Fede Lebron Orhan Firat Armand Joulin Zhe Dong AI4CE 26 0 0 08 Apr 2025
Achieving binary weight and activation for LLMs using Post-Training Quantization Siqing Song Chuang Wang Ruiqi Wang Yi Yang Xuyao Zhang MQ 26 0 0 07 Apr 2025
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model Compression Ivan Ilin Peter Richtárik 24 0 0 06 Apr 2025
Saliency-driven Dynamic Token Pruning for Large Language Models Yao Tao Yehui Tang Yun Wang Mingjian Zhu Hailin Hu Yunhe Wang 34 0 0 06 Apr 2025
Towards Understanding and Improving Refusal in Compressed Models via Mechanistic Interpretability Vishnu Kabir Chhabra Mohammad Mahdi Khalili AI4CE 28 0 0 05 Apr 2025
Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbić VLM MLLM LRM 67 0 0 03 Apr 2025
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li Ruokai Yin Donghyun Lee Shiting Xiao Priyadarshini Panda MQ 45 0 0 03 Apr 2025
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Towards Interpretable Soft Prompts Oam Patel Jason Wang Nikhil Shivakumar Nayak Suraj Srinivas Himabindu Lakkaraju 35 0 0 02 Apr 2025
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism Dengchun Li Naizheng Wang Zihao Zhang Haoyang Yin Lei Duan Meng Xiao Mingjie Tang MoE 56 0 0 01 Apr 2025
Multi-Token Attention O. Yu. Golovneva Tianlu Wang Jason Weston Sainbayar Sukhbaatar 48 1 0 01 Apr 2025
TransMamba: Flexibly Switching between Transformer and Mamba Yixing Li Ruobing Xie Zhen Yang X. Sun Shuaipeng Li ... Zhanhui Kang Yu Cheng C. Xu Di Wang Jie Jiang Mamba 65 1 0 31 Mar 2025
STADE: Standard Deviation as a Pruning Metric Diego Coello de Portugal Mecke Haya Alyoussef Ilia Koloiarov Maximilian Stubbemann Lars Schmidt-Thieme 29 0 0 28 Mar 2025