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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
v1v2v3 (latest)

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

20 April 2018
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
    ELM
ArXiv (abs)PDFHTML

Papers citing "GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding"

50 / 4,811 papers shown
MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
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Mohammed Makhlouf
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156
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TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
Dabiao Ma
Ziming Dai
Zhimin Xin
Shu Wang
Ye Wang
Haojun Fei
182
0
0
30 Jan 2026
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
Jonathan A. Karr Jr.
Benjamin F. Herbst
Ting Hua
Matthew Hauenstein
Georgina Curto
Nitesh Chawla
Georgina Curto
Nitesh V. Chawla
84
0
0
30 Jan 2026
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
Rongguang Ye
Ming Tang
Edith C. H. Ngai
MQ
99
0
0
30 Jan 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
Fatema Siddika
Md Anwar Hossen
J. P. Muñoz
Tanya Roosta
Anuj Sharma
Ali Jannesari
FedML
177
1
0
24 Dec 2025
Technical Report on Text Dataset Distillation
Technical Report on Text Dataset Distillation
Keith Ando Ogawa
Bruno Yamamoto
Lucas Lauton de Alcantara
Victor Zacarias
Edson Bollis
Lucas Pellicer
Rosimeire Pereira Costa
A. H. R. Costa
Artur Jordao
DD
281
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03 Dec 2025
Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
S. Hu
Wenbo Shan
Yingjia Li
Zhiqi Wan
Xinpeng Yu
...
Chee Hui Lai
Wei Luo
Yubin He
Bin Xu
Jianshi Zhao
ELMAI4CE
179
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An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation
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Tatsuhiko Saito
Yasutomo Kimura
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134
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02 Dec 2025
ESACT: An End-to-End Sparse Accelerator for Compute-Intensive Transformers via Local Similarity
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Hongxiang Liu
Zhifang Deng
Tong Pu
Shengli Lu
161
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PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
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Róbert Belanec
Ivan Srba
Maria Bielikova
ALM
446
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0
02 Dec 2025
InstructLR: A Scalable Approach to Create Instruction Dataset for Under-Resourced Languages
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Mamadou K. Keita
Sébastien Diarra
Christopher Homan
Seydou Diallo
45
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0
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Haoran Qin
Shansita D. Sharma
Ali Abbasi
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Soheil Kolouri
150
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0
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Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging
Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging
Kuangpu Guo
Yuhe Ding
Jian Liang
Zilei Wang
Ran He
MoMe
136
0
0
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Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
Aparajitha Allamraju
Maitreya Prafulla Chitale
Hiranmai Sri Adibhatla
Rahul Mishra
Manish Shrivastava
71
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0
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EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education
EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education
Guoqing Ma
Jia Zhu
Hanghui Guo
Weijie Shi
Yue Cui
Jiawei Shen
Zilong Li
Yidan Liang
AI4EdELM
338
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From Coefficients to Directions: Rethinking Model Merging with Directional Alignment
Zhikang Chen
Sen Cui
Deheng Ye
Min Zhang
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Tingting Zhu
MoMe
185
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FedSGT: Exact Federated Unlearning via Sequential Group-based Training
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Bokang Zhang
Hong Guan
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Ruixuan Liu
Jia Zou
Li Xiong
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249
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Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day
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Uzair Javaid
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Nalam Venkata Abhishek
Tram Truong-Huu
Biplab Sikdar
LMTDALM
250
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CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or Weights
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Mohaiminul Al Nahian
Abeer Matar A. Almalky
Gamana Aragonda
Ranyang Zhou
Sabbir Ahmed
Dmitry Ponomarev
Li Yang
Shaahin Angizi
Adnan Siraj Rakin
63
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SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning
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Hugo Hazard
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198
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Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs
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90
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PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
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121
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Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
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Julianna Piskorz
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DiffM
212
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Structured Prompting Enables More Robust Evaluation of Language Models
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Asad Aali
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289
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Towards Trustworthy Wi-Fi Sensing: Systematic Evaluation of Deep Learning Model Robustness to Adversarial Attacks
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223
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Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
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Yujia Wang
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Jinghui Chen
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282
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CAMformer: Associative Memory is All You Need
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102
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CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
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Bingbing Wang
Geng Tu
Y. Zhang
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83
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OceanForecastBench: A Benchmark Dataset for Data-Driven Global Ocean Forecasting
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428
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ABM-LoRA: Activation Boundary Matching for Fast Convergence in Low-Rank Adaptation
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CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation
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Exploiting the Experts: Unauthorized Compression in MoE-LLMs
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ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
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Multimodal Evaluation of Russian-language Architectures
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Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
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