HellaSwag: Can a Machine Really Finish Your Sentence?

19 May 2019

Yejin Choi

Papers citing "HellaSwag: Can a Machine Really Finish Your Sentence?"

50 / 511 papers shown

Title
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration Yuzong Chen Ahmed F. AbouElhamayed Xilai Dai Yang Wang Marta Andronic G. Constantinides Mohamed S. Abdelfattah MQ 108 1 0 18 Nov 2024
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training Elia Cunegatti Leonardo Lucio Custode Giovanni Iacca 52 0 0 11 Nov 2024
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models Runming Yang Taiqiang Wu Jiahao Wang Pengfei Hu Ngai Wong Yujiu Yang Yujiu Yang 142 0 0 11 Nov 2024
Benchmarking LLMs' Judgments with No Gold Standard Shengwei Xu Yuxuan Lu Grant Schoenebeck Yuqing Kong 34 1 0 11 Nov 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo Chenyang Song Xu Han Y. Chen Chaojun Xiao Zhiyuan Liu Maosong Sun 49 3 0 04 Nov 2024
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages Hoang Nguyen Khyati Mahajan Vikas Yadav Philip S. Yu Masoud Hashemi Rishabh Maheshwary Rishabh Maheshwary 47 0 0 04 Nov 2024
Enhancing LLM Evaluations: The Garbling Trick William F. Bradley LRM ELM 38 1 0 03 Nov 2024
TODO: Enhancing LLM Alignment with Ternary Preferences Yuxiang Guo Lu Yin Bo Jiang Jiaqi Zhang 38 1 0 02 Nov 2024
Constraint Back-translation Improves Complex Instruction Following of Large Language Models Y. Qi Hao Peng Xinyu Wang Bin Xu Lei Hou Juanzi Li 61 1 0 31 Oct 2024
Danoliteracy of Generative Large Language Models Søren Vejlgaard Holm Lars Kai Hansen Martin Carsten Nielsen ELM 49 0 0 30 Oct 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 81 5 0 28 Oct 2024
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training Haocheng Xi Han Cai Ligeng Zhu Yaojie Lu Kurt Keutzer Jianfei Chen Song Han MQ 75 9 0 25 Oct 2024
Mixture of Parrots: Experts improve memorization more than reasoning Samy Jelassi Clara Mohri David Brandfonbrener Alex Gu Nikhil Vyas Nikhil Anand David Alvarez-Melis Yuanzhi Li Sham Kakade Eran Malach MoE 33 4 0 24 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 49 3 0 24 Oct 2024
Scaling up Masked Diffusion Models on Text Shen Nie Fengqi Zhu Chao Du Tianyu Pang Qian Liu Guangtao Zeng Min-Bin Lin Chongxuan Li AI4CE 50 13 0 24 Oct 2024
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study Shawn Tan Yikang Shen Songlin Yang Aaron C. Courville Rameswar Panda 30 4 0 23 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 78 15 0 23 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 35 2 0 23 Oct 2024
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 58 2 0 23 Oct 2024
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models Yuheng Lu Bingshuo Qian Caixia Yuan Huixing Jiang Xiaojie Wang CLL 34 0 0 22 Oct 2024
Self-calibration for Language Model Quantization and Pruning Miles Williams G. Chrysostomou Nikolaos Aletras MQ 144 0 0 22 Oct 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu Hao Zhou Fandong Meng Jie Zhou Minlie Huang 70 5 0 22 Oct 2024
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts Zhenpeng Su Xing Wu Zijia Lin Yizhe Xiong Minxuan Lv Guangyuan Ma Hui Chen Songlin Hu Guiguang Ding MoE 29 3 0 21 Oct 2024
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li Zichun Yu Chenyan Xiong SyDa 33 1 0 18 Oct 2024
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference You Wu Haoyi Wu Kewei Tu 34 3 0 18 Oct 2024
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems Nan Xu Xuezhe Ma LRM 59 3 0 18 Oct 2024
Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion Denitsa Saynova Lovisa Hagström Moa Johansson Richard Johansson Marco Kuhlmann HILM 43 0 0 18 Oct 2024
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models Qiaoyu Tang Le Yu Bowen Yu Hongyu Lin K. Lu Yaojie Lu Xianpei Han Le Sun MoMe 34 1 0 17 Oct 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers Shwai He Tao Ge Guoheng Sun Bowei Tian Xiaoyang Wang Ang Li MoE 54 1 0 17 Oct 2024
Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki Taishi Nakamura Takuya Akiba Yujin Tang MoMe 36 0 0 16 Oct 2024
Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs Hyeonwoo Kim Dahyun Kim Jihoo Kim Sukyung Lee Y. Kim Chanjun Park 46 0 0 16 Oct 2024
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection Bokai Lin Zihao Zeng Zipeng Xiao Siqi Kou Tianqi Hou Xiaofeng Gao Hao Zhang Zhijie Deng 16 2 0 16 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention Peng Jin Bo Zhu Li Yuan Shuicheng Yan MoE 31 13 0 15 Oct 2024
In-context KV-Cache Eviction for LLMs via Attention-Gate Zihao Zeng Bokai Lin Tianqi Hou Hao Zhang Zhijie Deng 38 1 0 15 Oct 2024
ControlMM: Controllable Masked Motion Generation Ekkasit Pinyoanuntapong Muhammad Usama Saleem Korrawe Karunratanakul Pu Wang Hongfei Xue Cheng Chen Chuan Guo Junli Cao J. Ren Sergey Tulyakov VGen 37 4 0 14 Oct 2024
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs Tongtian Yue Longteng Guo Jie Cheng Xuange Gao Jiaheng Liu MoE 39 0 0 14 Oct 2024
FlatQuant: Flatness Matters for LLM Quantization Yuxuan Sun Ruikang Liu Haoli Bai Han Bao Kang Zhao ... Lu Hou Chun Yuan Xin Jiang Wen Liu Jun Yao MQ 79 4 0 12 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 44 0 0 12 Oct 2024
Language Imbalance Driven Rewarding for Multilingual Self-improving Wen Yang Junhong Wu Chen Wang Chengqing Zong Junzhe Zhang ALM LRM 71 4 0 11 Oct 2024
Scaling Laws for Predicting Downstream Performance in LLMs Yangyi Chen Binxuan Huang Yifan Gao Zhengyang Wang Jingfeng Yang Heng Ji LRM 53 9 0 11 Oct 2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture Jiayi Han Liang Du Hongwei Du Xiangguo Zhou Yiwen Wu Weibo Zheng Donghong Han CLL MoMe MoE 38 2 0 10 Oct 2024
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act Philipp Guldimann Alexander Spiridonov Robin Staab Nikola Jovanović Mark Vero ... Mislav Balunović Nikola Konstantinov Pavol Bielik Petar Tsankov Martin Vechev ELM 50 4 0 10 Oct 2024
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He Hang Yu Zi Gong Shizhan Liu J. Li Weiyao Lin VLM 38 1 0 09 Oct 2024
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 55 5 0 09 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey Dianzhi Yu Xinni Zhang Yankai Chen Aiwei Liu Yifei Zhang Philip S. Yu Irwin King VLM CLL 44 9 0 07 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 45 1 0 04 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li Xinyu Yan Tianao Zhang Haotong Qin Dong Xie Jiang Tian Zhongchao Shi Linghe Kong Yulun Zhang Xiaokang Yang MQ 34 2 0 04 Oct 2024
No Need to Talk: Asynchronous Mixture of Language Models Anastasiia Filippova Angelos Katharopoulos David Grangier Ronan Collobert MoE 41 0 0 04 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk Ian Wu Patrick Fernandes Amanda Bertsch Seungone Kim Sina Pakazad Graham Neubig 48 9 0 03 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 10 0 03 Oct 2024