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A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
v1v2v3v4 (latest)

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

18 April 2017
Adina Williams
Nikita Nangia
Samuel R. Bowman
ArXiv (abs)PDFHTML

Papers citing "A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference"

50 / 2,772 papers shown
Title
Natural GaLore: Accelerating GaLore for memory-efficient LLM Training
  and Fine-tuning
Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning
Arijit Das
36
2
0
21 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak
Otniel-Bogdan Mercea
Anurag Arnab
Jonas Pfeiffer
Yann N. Dauphin
Utku Evci
84
1
0
21 Oct 2024
Improve Dense Passage Retrieval with Entailment Tuning
Improve Dense Passage Retrieval with Entailment Tuning
Lu Dai
Hao Liu
Hui Xiong
RALM
125
4
0
21 Oct 2024
Implicit Regularization of Sharpness-Aware Minimization for
  Scale-Invariant Problems
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li
Liang Zhang
Niao He
97
8
0
18 Oct 2024
Large Language Models Are Overparameterized Text Encoders
Large Language Models Are Overparameterized Text Encoders
Thennal D K
Tim Fischer
Chris Biemann
85
2
0
18 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
88
0
0
18 Oct 2024
Isolated Causal Effects of Natural Language
Isolated Causal Effects of Natural Language
Victoria Lin
Louis-Philippe Morency
Eli Ben-Michael
CML
135
1
0
18 Oct 2024
From Babbling to Fluency: Evaluating the Evolution of Language Models in
  Terms of Human Language Acquisition
From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition
Qiyuan Yang
Pengda Wang
Luke D. Plonsky
Frederick L. Oswald
Hanjie Chen
ELM
77
2
0
17 Oct 2024
Measuring Free-Form Decision-Making Inconsistency of Language Models in
  Military Crisis Simulations
Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
Aryan Shrivastava
Jessica Hullman
Max Lamparth
82
6
0
17 Oct 2024
Better to Ask in English: Evaluation of Large Language Models on
  English, Low-resource and Cross-Lingual Settings
Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings
Krishno Dey
Prerona Tarannum
Md. Arid Hasan
Imran Razzak
Usman Naseem
66
5
0
17 Oct 2024
Starbucks-v2: Improved Training for 2D Matryoshka Embeddings
Starbucks-v2: Improved Training for 2D Matryoshka Embeddings
Shengyao Zhuang
Shuai Wang
Fabio Zheng
Bevan Koopman
Guido Zuccon
50
3
0
17 Oct 2024
A Little Human Data Goes A Long Way
A Little Human Data Goes A Long Way
Dhananjay Ashok
Jonathan May
SyDa
120
4
0
17 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
168
5
0
16 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank
  Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
64
2
0
13 Oct 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation
  Space
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
Mohammad Reza Modarres
Sina Abbasi
Mohammad Taher Pilehvar
77
0
0
12 Oct 2024
VERITAS-NLI : Validation and Extraction of Reliable Information Through
  Automated Scraping and Natural Language Inference
VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference
Arjun Shah
Hetansh Shah
Vedica Bafna
Charmi Khandor
Sindhu Nair
47
0
0
12 Oct 2024
Inference and Verbalization Functions During In-Context Learning
Inference and Verbalization Functions During In-Context Learning
Junyi Tao
Xiaoyin Chen
Nelson F. Liu
LRMReLM
92
1
0
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Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Ziming Yu
Pan Zhou
Sike Wang
Jia Li
Hua Huang
80
0
0
11 Oct 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
Yu-Chen Lin
Wei-Hua Li
Jun-Cheng Chen
Chu-Song Chen
65
1
0
10 Oct 2024
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and
  Performance of SGD for Fine-Tuning Language Models
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
Zeman Li
Xinwei Zhang
Peilin Zhong
Yuan Deng
Meisam Razaviyayn
Vahab Mirrokni
116
5
0
09 Oct 2024
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language
  Models in Hospital Environments
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments
Sourjyadip Ray
Kushal Gupta
Soumi Kundu
Payal Arvind Kasat
Somak Aditya
Pawan Goyal
37
2
0
08 Oct 2024
Exploring the Meaningfulness of Nearest Neighbor Search in
  High-Dimensional Space
Exploring the Meaningfulness of Nearest Neighbor Search in High-Dimensional Space
Zhonghan Chen
Ruiyuan Zhang
Xi Zhao
Xiaojun Cheng
Xiaofang Zhou
85
0
0
08 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
68
0
0
08 Oct 2024
Generating Synthetic Datasets for Few-shot Prompt Tuning
Generating Synthetic Datasets for Few-shot Prompt Tuning
Xu Guo
Zilin Du
Boyang Li
Chunyan Miao
95
2
0
08 Oct 2024
Compositional Risk Minimization
Compositional Risk Minimization
Divyat Mahajan
Mohammad Pezeshki
Ioannis Mitliagkas
Kartik Ahuja
Pascal Vincent
Pascal Vincent
107
6
0
08 Oct 2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation
  without Group Annotation
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
Mahdi Ghaznavi
Hesam Asadollahzadeh
Fahimeh Hosseini Noohdani
Soroush Vafaie Tabar
Hosein Hasani
Taha Akbari Alvanagh
M. Rohban
M. Baghshah
89
0
0
07 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob
Lorenzo Sani
Meghdad Kurmanji
William F. Shen
Xinchi Qiu
Dongqi Cai
Yan Gao
Nicholas D. Lane
VLM
623
1
0
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Collapsed Language Models Promote Fairness
Collapsed Language Models Promote Fairness
Jingxuan Xu
Wuyang Chen
Linyi Li
Yao Zhao
Yunchao Wei
120
0
0
06 Oct 2024
Neuron-Level Sequential Editing for Large Language Models
Neuron-Level Sequential Editing for Large Language Models
Houcheng Jiang
Sihang Li
Tianyu Zhang
An Zhang
Ruipeng Wang
Tao Liang
Xiang Wang
KELM
113
4
0
05 Oct 2024
Exploring the Benefit of Activation Sparsity in Pre-training
Exploring the Benefit of Activation Sparsity in Pre-training
Zhengyan Zhang
Chaojun Xiao
Qiujieli Qin
Yankai Lin
Zhiyuan Zeng
Xu Han
Zhiyuan Liu
Ruobing Xie
Maosong Sun
Jie Zhou
MoE
124
4
0
04 Oct 2024
How Hard is this Test Set? NLI Characterization by Exploiting Training
  Dynamics
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics
Adrian Cosma
Stefan Ruseti
Mihai Dascalu
Cornelia Caragea
51
3
0
04 Oct 2024
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann
Periklis Petridis
G. Vietri
Dionysis Manousakas
Aaron Roth
Sergul Aydore
116
0
0
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Fine-Tuning Language Models with Differential Privacy through Adaptive
  Noise Allocation
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation
Xianzhi Li
Ran Zmigrod
Zhiqiang Ma
Xiaomo Liu
Xiaodan Zhu
116
3
0
03 Oct 2024
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
Sihang Li
Houcheng Jiang
Kun Wang
Yunshan Ma
Shi Jie
Xiangnan He
Tat-Seng Chua
Tat-seng Chua
KELM
214
66
0
03 Oct 2024
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad
Michael Toker
Zorik Gekhman
Roi Reichart
Idan Szpektor
Hadas Kotek
Yonatan Belinkov
HILMAIFin
125
45
0
03 Oct 2024
Auction-Based Regulation for Artificial Intelligence
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Marco Bornstein
Zora Che
Suhas Julapalli
Abdirisak Mohamed
Amrit Singh Bedi
Furong Huang
113
1
0
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Multimodal Coherent Explanation Generation of Robot Failures
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Pradip Pramanick
Silvia Rossi
66
2
0
01 Oct 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter
  Merging
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
Yiming Ju
Ziyi Ni
Xingrun Xing
Zhixiong Zeng
hanyu Zhao
Siqi Fan
Zheng Zhang
MoMe
67
2
0
01 Oct 2024
Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield
  Anti-stereotypical Writing
Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield Anti-stereotypical Writing
Connor Baumler
Hal Daumé III
63
0
0
30 Sep 2024
Assessment and manipulation of latent constructs in pre-trained language models using psychometric scales
Assessment and manipulation of latent constructs in pre-trained language models using psychometric scales
Maor Reuben
Ortal Slobodin
Aviad Elyshar
Idan-Chaim Cohen
Orna Braun-Lewensohn
Odeya Cohen
Rami Puzis
82
0
0
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A Survey on the Honesty of Large Language Models
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Siheng Li
Cheng Yang
Taiqiang Wu
Chufan Shi
Yuji Zhang
...
Jie Zhou
Yujiu Yang
Ngai Wong
Xixin Wu
Wai Lam
HILM
108
6
0
27 Sep 2024
Towards Diverse Device Heterogeneous Federated Learning via Task
  Arithmetic Knowledge Integration
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah
Vyacheslav Kungurtsev
Hojin Chang
Chong Chen
Bill Lin
FedML
64
1
0
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Improving Academic Skills Assessment with NLP and Ensemble Learning
Improving Academic Skills Assessment with NLP and Ensemble Learning
Xinyi Huang
Yingyi Wu
Danyang Zhang
Jiacheng Hu
Yujian Long
49
7
0
23 Sep 2024
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs
  as Science Communicators
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
Prasoon Bajpai
Niladri Chatterjee
Subhabrata Dutta
Tanmoy Chakraborty
ELM
97
2
0
21 Sep 2024
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard
  Updated Transformation
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
Geyuan Zhang
Xiaofei Zhou
Chuheng Chen
38
0
0
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Ruri: Japanese General Text Embeddings
Ruri: Japanese General Text Embeddings
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Ryohei Sasano
56
1
0
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DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models
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Hongpeng Jin
Yanzhao Wu
MoE
65
3
0
10 Sep 2024
Analysis of Socially Unacceptable Discourse with Zero-shot Learning
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Rayane Ghilene
Dimitra Niaouri
Michele Linardi
Julien Longhi
56
0
0
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RexUniNLU: Recursive Method with Explicit Schema Instructor for
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RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU
Chengyuan Liu
Shihang Wang
Fubang Zhao
Kun Kuang
Yangyang Kang
Weiming Lu
Changlong Sun
Fei Wu
87
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Expanding Expressivity in Transformer Models with MöbiusAttention
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M. Nayyeri
Steffen Staab
78
1
0
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