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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
Data Contamination Through the Lens of Time
Data Contamination Through the Lens of Time
Manley Roberts
Himanshu Thakur
Christine Herlihy
Colin White
Samuel Dooley
130
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0
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One For All & All For One: Bypassing Hyperparameter Tuning with Model
  Averaging For Cross-Lingual Transfer
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual Transfer
Fabian David Schmidt
Ivan Vulić
Goran Glavaš
MoMe
44
4
0
16 Oct 2023
Interpreting and Exploiting Functional Specialization in Multi-Head
  Attention under Multi-task Learning
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
Chong Li
Shaonan Wang
Yunhao Zhang
Jiajun Zhang
Chengqing Zong
80
6
0
16 Oct 2023
A Search for Prompts: Generating Structured Answers from Contracts
A Search for Prompts: Generating Structured Answers from Contracts
Adam Roegiest
Radha Chitta
Jonathan Donnelly
Maya Lash
A. Vtyurina
Franccois Longtin
ELMAILaw
54
2
0
16 Oct 2023
RSVP: Customer Intent Detection via Agent Response Contrastive and
  Generative Pre-Training
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training
Yu-Chien Tang
Wei-Yao Wang
An-Zi Yen
Wenjie Peng
73
1
0
15 Oct 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang
Bingcong Li
K. K. Thekumparampil
Sewoong Oh
Niao He
96
15
0
14 Oct 2023
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in
  LLM-Generated Reference Letters
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
Yixin Wan
George Pu
Jiao Sun
Aparna Garimella
Kai-Wei Chang
Nanyun Peng
116
200
0
13 Oct 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for
  In-Context Learning
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
Hongfu Liu
Ye Wang
80
9
0
13 Oct 2023
InstructTODS: Large Language Models for End-to-End Task-Oriented
  Dialogue Systems
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems
Willy Chung
Samuel Cahyawijaya
Bryan Wilie
Holy Lovenia
Pascale Fung
80
6
0
13 Oct 2023
GLoRE: Evaluating Logical Reasoning of Large Language Models
GLoRE: Evaluating Logical Reasoning of Large Language Models
Hanmeng Liu
Zhiyang Teng
Ruoxi Ning
Jian Liu
Qiji Zhou
Yuexin Zhang
Yue Zhang
ReLMELMLRM
164
8
0
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Tokenizer Choice For LLM Training: Negligible or Crucial?
Tokenizer Choice For LLM Training: Negligible or Crucial?
Mehdi Ali
Michael Fromm
Klaudia Thellmann
Richard Rutmann
Max Lübbering
...
Malte Ostendorff
Samuel Weinbach
R. Sifa
Stefan Kesselheim
Nicolas Flores-Herr
116
61
0
12 Oct 2023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li
Yifan Yu
Chen Liang
Pengcheng He
Nikos Karampatziakis
Weizhu Chen
Tuo Zhao
MQ
138
149
0
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Effects of Human Adversarial and Affable Samples on BERT Generalization
Effects of Human Adversarial and Affable Samples on BERT Generalization
Aparna Elangovan
Jiayuan He
Yuan Li
Karin Verspoor
108
3
0
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Language Models are Universal Embedders
Language Models are Universal Embedders
Xin Zhang
Zehan Li
Yanzhao Zhang
Dingkun Long
Pengjun Xie
Meishan Zhang
Min Zhang
KELMELM
290
9
0
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Faithfulness Measurable Masked Language Models
Faithfulness Measurable Masked Language Models
Andreas Madsen
Siva Reddy
Sarath Chandar
83
3
0
11 Oct 2023
Fast-ELECTRA for Efficient Pre-training
Fast-ELECTRA for Efficient Pre-training
Chengyu Dong
Liyuan Liu
Hao Cheng
Jingbo Shang
Jianfeng Gao
Xiaodong Liu
79
2
0
11 Oct 2023
Unlock the Potential of Counterfactually-Augmented Data in
  Out-Of-Distribution Generalization
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
CML
65
4
0
10 Oct 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
Yupei Du
Albert Gatt
Dong Nguyen
71
1
0
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Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Vatsal Sharan
67
4
0
09 Oct 2023
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language
  Model Attribution
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
Xinze Li
Yixin Cao2
Liangming Pan
Yubo Ma
Aixin Sun
HILM
40
21
0
09 Oct 2023
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based
  Queries
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries
Jianyou Wang
Kaicheng Wang
Xiaoyue Wang
Prudhviraj Naidu
Leon Bergen
R. Paturi
103
11
0
07 Oct 2023
From Nuisance to News Sense: Augmenting the News with Cross-Document
  Evidence and Context
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context
Jeremiah Milbauer
Ziqi Ding
Zhijin Wu
Tongshuang Wu
88
2
0
06 Oct 2023
TRAM: Bridging Trust Regions and Sharpness Aware Minimization
TRAM: Bridging Trust Regions and Sharpness Aware Minimization
Tom Sherborne
Naomi Saphra
Pradeep Dasigi
Hao Peng
58
5
0
05 Oct 2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
Zihao Lin
Yan Sun
Yifan Shi
Xueqian Wang
Lifu Huang
Li Shen
Dacheng Tao
98
12
0
04 Oct 2023
Beyond Labeling Oracles: What does it mean to steal ML models?
Beyond Labeling Oracles: What does it mean to steal ML models?
Avital Shafran
Ilia Shumailov
Murat A. Erdogdu
Nicolas Papernot
AAML
91
4
0
03 Oct 2023
SEA: Sparse Linear Attention with Estimated Attention Mask
SEA: Sparse Linear Attention with Estimated Attention Mask
Heejun Lee
Jina Kim
Jeffrey Willette
Sung Ju Hwang
162
7
0
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Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Ori Yoran
Tomer Wolfson
Ori Ram
Jonathan Berant
RALMLRM
120
216
0
02 Oct 2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical
  Reasoning Capabilities of Language Models
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Man Luo
Shrinidhi Kumbhar
Ming shen
Mihir Parmar
Neeraj Varshney
Pratyay Banerjee
Somak Aditya
Chitta Baral
ReLMELMLRM
137
31
0
02 Oct 2023
TRAM: Benchmarking Temporal Reasoning for Large Language Models
TRAM: Benchmarking Temporal Reasoning for Large Language Models
Yuqing Wang
Yun Zhao
LRM
111
14
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02 Oct 2023
A Novel Computational and Modeling Foundation for Automatic Coherence
  Assessment
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment
Aviya Maimon
Reut Tsarfaty
116
5
0
01 Oct 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and
  Prompt Engineering
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Han Zhou
Xingchen Wan
Lev Proleev
Diana Mincu
Jilin Chen
Katherine A. Heller
Subhrajit Roy
UQLM
87
61
0
29 Sep 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen
Jindong Wang
Ankit Shah
Ran Tao
Hongxin Wei
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
110
32
0
29 Sep 2023
Discovering environments with XRM
Discovering environments with XRM
Mohammad Pezeshki
Diane Bouchacourt
Mark Ibrahim
Jimuyang Zhang
Pascal Vincent
David Lopez-Paz
98
19
0
28 Sep 2023
Multi-Modal Financial Time-Series Retrieval Through Latent Space
  Projections
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections
Tom Bamford
Andrea Coletta
Elizabeth Fons
Sriram Gopalakrishnan
Svitlana Vyetrenko
T. Balch
Manuela Veloso
AI4TS
52
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ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with
  Modular Quantizers
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Junjie Yin
Jiahao Dong
Yingheng Wang
Christopher De Sa
Volodymyr Kuleshov
MQ
68
6
0
28 Sep 2023
Do We Run How We Say We Run? Formalization and Practice of Governance in
  OSS Communities
Do We Run How We Say We Run? Formalization and Practice of Governance in OSS Communities
Mahasweta Chakraborti
Curtis Atkisson
Stefan Stanciulescu
V. Filkov
Seth Frey
83
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0
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Substituting Data Annotation with Balanced Updates and Collective Loss
  in Multi-label Text Classification
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification
Muberra Ozmen
Joseph Cotnareanu
Mark Coates
34
0
0
24 Sep 2023
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls
  of Large Language Models on Bengali NLP
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
M. Kabir
Mohammed Saidul Islam
Md Tahmid Rahman Laskar
Mir Tafseer Nayeem
M Saiful Bari
Enamul Hoque
LM&MA
77
17
0
22 Sep 2023
AnglE-optimized Text Embeddings
AnglE-optimized Text Embeddings
Xianming Li
Jing Li
RALM
91
101
0
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Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic
  Evaluation
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
Ali Mousavi
Xin Zhan
Richard He Bai
Peng Shi
Theo Rekatsinas
...
Jeff Pound
Josh Susskind
Natalie Schluter
Ihab F. Ilyas
Navdeep Jaitly
60
2
0
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What Learned Representations and Influence Functions Can Tell Us About
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What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples
Shakila Mahjabin Tonni
Mark Dras
TDIAAMLGAN
62
0
0
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Understanding Catastrophic Forgetting in Language Models via Implicit
  Inference
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
Suhas Kotha
Jacob Mitchell Springer
Aditi Raghunathan
CLL
128
71
0
18 Sep 2023
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for
  Inferring Online Health Texts
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts
Joseph Gatto
S. Preum
AI4MH
59
1
0
18 Sep 2023
Adapting Large Language Models via Reading Comprehension
Adapting Large Language Models via Reading Comprehension
Daixuan Cheng
Shaohan Huang
Furu Wei
CLLSyDaAI4CE
88
36
0
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Mitigating Shortcuts in Language Models with Soft Label Encoding
Mitigating Shortcuts in Language Models with Soft Label Encoding
Zirui He
Huiqi Deng
Haiyan Zhao
Ninghao Liu
Jundong Li
69
2
0
17 Sep 2023
The Impact of Debiasing on the Performance of Language Models in
  Downstream Tasks is Underestimated
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
102
7
0
16 Sep 2023
Rethinking STS and NLI in Large Language Models
Rethinking STS and NLI in Large Language Models
Yuxia Wang
Minghan Wang
Preslav Nakov
LRM
71
3
0
16 Sep 2023
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence
  across Paragraphs
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
Juan Diego Rodriguez
Katrin Erk
Greg Durrett
94
4
0
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Towards Last-layer Retraining for Group Robustness with Fewer
  Annotations
Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
104
42
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Anchor Points: Benchmarking Models with Much Fewer Examples
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Rajan Vivek
Kawin Ethayarajh
Diyi Yang
Douwe Kiela
ALM
116
28
0
14 Sep 2023
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