HellaSwag: Can a Machine Really Finish Your Sentence?

19 May 2019

Yejin Choi

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

50 / 509 papers shown

Title
GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction Mohammadtaha Bagherifard Sahar Rajabi Ali Edalat Yadollah Yaghoobzadeh KELM 24 0 0 16 May 2025
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection Kai Hua Steven Wu Ge Zhang Ke Shen LRM 28 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 34 0 0 11 May 2025
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration HamidReza Imani Jiaxin Peng Peiman Mohseni Abdolah Amirany Tarek A. El-Ghazawi MoE 31 0 0 10 May 2025
xGen-small Technical Report Erik Nijkamp Bo Pang Egor Pakhomov Akash Gokul Jin Qu Silvio Savarese Yingbo Zhou Caiming Xiong LLMAG 58 0 0 10 May 2025
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Zihan Qiu Zekun Wang Bo Zheng Zeyu Huang Kaiyue Wen ... Fei Huang Suozhi Huang Dayiheng Liu Jingren Zhou Junyang Lin MoE 28 0 0 10 May 2025
Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations Patrick Blumenberg Thomas Graave Tim Fingscheidt MQ 21 0 0 10 May 2025
Stability in Single-Peaked Strategic Resource Selection Games Henri Zeiler 32 3 0 09 May 2025
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2 Vytenis Šliogeris Povilas Daniušis Arturas Nakvosas CLL 37 0 0 09 May 2025
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities Kalyan Nakka Jimmy Dani Ausmit Mondal Nitesh Saxena AAML 30 0 0 08 May 2025
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Yixin Yang Qingxiu Dong Linli Yao Fangwei Zhu Zhifang Sui 48 0 0 08 May 2025
am-ELO: A Stable Framework for Arena-based LLM Evaluation Zirui Liu Jiatong Li Yan Zhuang Qiang Liu Shuanghong Shen Jie Ouyang Mingyue Cheng Shijin Wang 41 0 0 06 May 2025
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning Junzhou Xu Boyu Diao MoE 47 0 0 06 May 2025
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning Tianjian Li Daniel Khashabi 55 0 0 05 May 2025
Radio: Rate-Distortion Optimization for Large Language Model Compression Sean I. Young MQ 21 0 0 05 May 2025
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code Kazuki Fujii Yukito Tajima Sakae Mizuki Hinari Shimada Taihei Shiotani ... Kakeru Hattori Youmi Ma Hiroya Takamura Rio Yokota Naoaki Okazaki SyDa 49 0 0 05 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 140 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
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
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 61 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
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 41 0 0 02 May 2025
Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing Piotr Piekos Róbert Csordás Jürgen Schmidhuber MoE VLM 99 1 0 01 May 2025
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation D. Sculley Will Cukierski Phil Culliton Sohier Dane Maggie Demkin ... Addison Howard Paul Mooney Walter Reade Megan Risdal Nate Keating 31 0 0 01 May 2025
COSMOS: Predictable and Cost-Effective Adaptation of LLMs Jiayu Wang Aws Albarghouthi Frederic Sala 49 0 0 30 Apr 2025
Model Connectomes: A Generational Approach to Data-Efficient Language Models Klemen Kotar Greta Tuckute 49 0 0 29 Apr 2025
Computational Reasoning of Large Language Models Haitao Wu Zongbo Han Huaxi Huang Huaxi Huang Changqing Zhang ELM LRM 62 0 0 29 Apr 2025
Efficient LLMs with AMP: Attention Heads and MLP Pruning Leandro Giusti Mugnaini Bruno Yamamoto Lucas Lauton de Alcantara Victor Zacarias Edson Bollis Lucas Pellicer A. H. R. Costa Artur Jordao 47 0 0 29 Apr 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu (Allen) Zhang Zechun Liu Yuandong Tian Harshit Khaitan Zhilin Wang Steven Li 57 0 0 28 Apr 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers Zhouxiang Fang Aayush Mishra Muhan Gao Anqi Liu Daniel Khashabi 44 0 0 28 Apr 2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks Yixin Cao Shibo Hong Xuzhao Li Jiahao Ying Yubo Ma ... Juanzi Li Aixin Sun Xuanjing Huang Tat-Seng Chua Tianwei Zhang ALM ELM 86 2 0 26 Apr 2025
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs Hongyu Wang Shuming Ma Furu Wei MQ 51 1 0 25 Apr 2025
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation Yulia Otmakhova Hung Thinh Truong Rahmad Mahendra Zenan Zhai Rongxin Zhu Daniel Beck Jey Han Lau ELM 70 0 0 24 Apr 2025
QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Fengze Liu Weidong Zhou Binbin Liu Zhimiao Yu Yifan Zhang ... Yifeng Yu Bingni Zhang Xiaohuan Zhou Taifeng Wang Yong Cao 66 1 0 23 Apr 2025
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Aviv Bick Eric P. Xing Albert Gu RALM 91 0 0 22 Apr 2025
Efficient Pretraining Length Scaling Bohong Wu Shen Yan Sijun Zhang Jianqiao Lu Yutao Zeng Ya Wang Xun Zhou 133 0 0 21 Apr 2025
Trillion 7B Technical Report Sungjun Han Juyoung Suk Suyeong An Hyungguk Kim Kyuseok Kim Wonsuk Yang Seungtaek Choi Jamin Shin 116 1 0 21 Apr 2025
Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models Xinlin Zhuang Jiahui Peng Ren Ma Y. Wang Tianyi Bai Xingjian Wei Jiantao Qiu Chi Zhang Ying Qian Conghui He 53 0 0 19 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs Jiliang Ni Jiachen Pu Zhongyi Yang Kun Zhou Hui Wang Xiaoliang Xiao Dakui Wang Xin Li Jingfeng Luo Conggang Hu 37 0 0 18 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 58 0 0 17 Apr 2025
FLIP Reasoning Challenge Andreas Plesner Turlan Kuzhagaliyev Roger Wattenhofer AAML VLM LRM 78 0 0 16 Apr 2025
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Jinguo Zhu Weiyun Wang Zhe Chen Z. Liu Shenglong Ye ... Dahua Lin Yu Qiao Jifeng Dai Wenhai Wang Wei Wang MLLM VLM 70 15 1 14 Apr 2025
Parameterized Synthetic Text Generation with SimpleStories Lennart Finke Thomas Dooms Thomas Dooms Mat Allen Emerald Zhang Juan Diego Rodriguez Noa Nabeshima Thomas Marshall Dan Braun SyDa 32 0 0 12 Apr 2025
FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion Longguang Zhong Fanqi Wan Ziyi Yang Guosheng Liang Tianyuan Shi Xiaojun Quan MoMe 57 0 0 09 Apr 2025
STEP: Staged Parameter-Efficient Pre-training for Large Language Models Kazuki Yano Takumi Ito Jun Suzuki LRM 47 1 0 05 Apr 2025
Entropy-Based Block Pruning for Efficient Large Language Models Liangwei Yang Yuhui Xu Juntao Tan Doyen Sahoo Shri Kiran Srinivasan Caiming Xiong Hairu Wang Shelby Heinecke AAML 28 0 0 04 Apr 2025
Using Attention Sinks to Identify and Evaluate Dormant Heads in Pretrained LLMs Pedro Sandoval-Segura Xijun Wang Ashwinee Panda Micah Goldblum Ronen Basri Tom Goldstein David Jacobs 22 0 0 04 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 69 0 0 03 Apr 2025
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li Ruokai Yin Donghyun Lee Shiting Xiao Priyadarshini Panda MQ 51 0 0 03 Apr 2025