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
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining Jianwei Li Yijun Dong Qi Lei 30 5 0 26 Jul 2024
Enhancing Agent Learning through World Dynamics Modeling Zhiyuan Sun Haochen Shi Marc-Alexandre Côté Glen Berseth Xingdi Yuan Bang Liu 47 3 0 25 Jul 2024
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 27 1 0 24 Jul 2024
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 38 2 0 24 Jul 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack Xiaoyue Xu Qinyuan Ye Xiang Ren 40 6 0 23 Jul 2024
A deeper look at depth pruning of LLMs Shoaib Ahmed Siddiqui Xin Dong Greg Heinrich Thomas Breuel Jan Kautz David M. Krueger Pavlo Molchanov 38 7 0 23 Jul 2024
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 34 11 0 22 Jul 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 45 0 0 22 Jul 2024
Longhorn: State Space Models are Amortized Online Learners Bo Liu Rui Wang Lemeng Wu Yihao Feng Peter Stone Qian Liu 46 10 0 19 Jul 2024
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 52 45 0 18 Jul 2024
Reconstruct the Pruned Model without Any Retraining Pingjie Wang Ziqing Fan Shengchao Hu Zhe Chen Yanfeng Wang Yu Wang 38 1 0 18 Jul 2024
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models Hongrong Cheng Miao Zhang J. Q. Shi 43 2 0 16 Jul 2024
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 Pola Schwöbel Luca Franceschi Muhammad Bilal Zafar Keerthan Vasist Aman Malhotra Tomer Shenhar Pinal Tailor Pinar Yilmaz Michael Diamond Michele Donini LM&MA ELM 19 2 0 15 Jul 2024
Low-Rank Interconnected Adaptation Across Layers Yibo Zhong Yao Zhou OffRL MoE 38 1 0 13 Jul 2024
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 27 3 0 13 Jul 2024
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 Zeliang Zhang Xiaodong Liu Hao Cheng Chenliang Xu Jianfeng Gao MoE 32 9 0 12 Jul 2024
SoupLM: Model Integration in Large Language and Multi-Modal Models Yue Bai Zichen Zhang Jiasen Lu Yun Fu MoMe 27 1 0 11 Jul 2024
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization Xijie Huang Zechun Liu Shih-yang Liu Kwang-Ting Cheng MQ 35 7 0 10 Jul 2024
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models Mengzhao Chen Wenqi Shao Peng Xu Jiahao Wang Peng Gao Kaipeng Zhang Yu Qiao Ping Luo MQ 38 23 0 10 Jul 2024
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation Liqun Ma Mingjie Sun Zhiqiang Shen 29 6 0 09 Jul 2024
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 52 1 0 08 Jul 2024
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 31 1 0 08 Jul 2024
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 Xingrun Xing Boyan Gao Zheng Zhang David A. Clifton Shitao Xiao LI DU Guoqi Li Jiajun Zhang 50 5 0 05 Jul 2024
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 Shafiq R. Joty Jimmy Huang ELM ALM 27 27 0 04 Jul 2024
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 29 4 0 03 Jul 2024
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 36 2 0 02 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning Hasna Chouikhi Manel Aloui Cyrine Ben Hammou Ghaith Chaabane Haithem Kchaou Chehir Dhaouadi 36 0 0 02 Jul 2024
Calibrated Large Language Models for Binary Question Answering Patrizio Giovannotti Alexander Gammerman 28 0 0 01 Jul 2024
FoldGPT: Simple and Effective Large Language Model Compression Scheme Songwei Liu Chao Zeng Lianqiang Li Chenqian Yan Lean Fu Xing Mei Fangmin Chen 40 4 0 01 Jul 2024
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 17 4 0 28 Jun 2024
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 42 0 0 28 Jun 2024
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study Yinheng Li Rogerio Bonatti Sara Abdali Justin Wagle K. Koishida SyDa 39 5 0 27 Jun 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models Shouchang Guo Sonam Damani Keng-hao Chang VLM 28 1 0 27 Jun 2024
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 33 22 0 27 Jun 2024
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 38 2 0 27 Jun 2024
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 Ashwinee Panda Berivan Isik Xiangyu Qi Sanmi Koyejo Tsachy Weissman Prateek Mittal MoMe 45 12 0 24 Jun 2024
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
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging Deyuan Liu Zhanyue Qin Hairu Wang Zhao Yang Zecheng Wang ... Zhao Lv Zhiying Tu Dianhui Chu Bo Li Dianbo Sui 22 2 0 24 Jun 2024
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
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 38 1 0 24 Jun 2024
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 41 20 0 22 Jun 2024
RankAdaptor: Hierarchical Dynamic Low-Rank Adaptation for Structural Pruned LLMs Changhai Zhou Shijie Han Shiyang Zhang Shichao Weng Zekai Liu Cheng Jin 24 1 0 22 Jun 2024
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video Zhengbang Yang Haotian Xia Jingxi Li Zezhi Chen Zhuangdi Zhu Weining Shen ELM LRM 39 1 0 21 Jun 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization Sungbin Shin Wonpyo Park Jaeho Lee Namhoon Lee 38 1 0 21 Jun 2024
Efficient Continual Pre-training by Mitigating the Stability Gap Yiduo Guo Jie Fu Huishuai Zhang Dongyan Zhao Yikang Shen 30 13 0 21 Jun 2024
CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines Wenbo Sun Jiaqi Wang Qiming Guo Ziyu Li Wenlu Wang Rihan Hai 31 9 0 20 Jun 2024