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A large annotated corpus for learning natural language inference

A large annotated corpus for learning natural language inference

21 August 2015
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
ArXiv (abs)PDFHTML

Papers citing "A large annotated corpus for learning natural language inference"

50 / 2,353 papers shown
Title
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and
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Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
Juri Grosjean
Jannis Vamvas
55
1
0
13 May 2024
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
R. Ajwani
Shashidhar Reddy Javaji
Frank Rudzicz
Zining Zhu
AAML
100
8
0
10 May 2024
Natural Language Processing RELIES on Linguistics
Natural Language Processing RELIES on Linguistics
Juri Opitz
Shira Wein
Nathan Schneider
AI4CE
192
8
0
09 May 2024
The Effect of Model Size on LLM Post-hoc Explainability via LIME
The Effect of Model Size on LLM Post-hoc Explainability via LIME
Henning Heyen
Amy Widdicombe
Noah Y. Siegel
Maria Perez-Ortiz
Philip C. Treleaven
LRM
97
1
0
08 May 2024
Zero-shot LLM-guided Counterfactual Generation for Text
Zero-shot LLM-guided Counterfactual Generation for Text
Amrita Bhattacharjee
Raha Moraffah
Joshua Garland
Huan Liu
97
7
0
08 May 2024
Explainable Fake News Detection With Large Language Model via Defense
  Among Competing Wisdom
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
Bo Wang
Jing Ma
Hongzhan Lin
Zhiwei Yang
Ruichao Yang
Yuan Tian
Yi-Ju Chang
AAML
106
39
0
06 May 2024
Beyond Relevance: Evaluate and Improve Retrievers on Perspective
  Awareness
Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
Xinran Zhao
Tong Chen
Sihao Chen
Hongming Zhang
Tongshuang Wu
78
9
0
04 May 2024
Identification of Entailment and Contradiction Relations between Natural
  Language Sentences: A Neurosymbolic Approach
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach
Xuyao Feng
Anthony Hunter
44
2
0
02 May 2024
Uncovering Agendas: A Novel French & English Dataset for Agenda
  Detection on Social Media
Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media
Gregorios A. Katsios
Ning Sa
Ankita Bhaumik
T. Strzalkowski
83
0
0
01 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
174
33
0
01 May 2024
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained
  Large Language Models
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models
Samir Arora
Liangliang Wang
43
0
0
30 Apr 2024
Do Large Language Models Understand Conversational Implicature -- A case
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Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom
Shisen Yue
Siyuan Song
Xinyuan Cheng
Hai Hu
105
3
0
30 Apr 2024
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
Vinay Setty
KELM
87
8
0
30 Apr 2024
BMRetriever: Tuning Large Language Models as Better Biomedical Text
  Retrievers
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
Ran Xu
Wenqi Shi
Yue Yu
Yuchen Zhuang
Yanqiao Zhu
M. D. Wang
Joyce C. Ho
Chao Zhang
Carl Yang
LM&MA
107
25
0
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Truth-value judgment in language models: 'truth directions' are context sensitive
Truth-value judgment in language models: 'truth directions' are context sensitive
Stefan F. Schouten
Peter Bloem
Ilia Markov
Piek Vossen
KELM
168
2
0
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CEval: A Benchmark for Evaluating Counterfactual Text Generation
CEval: A Benchmark for Evaluating Counterfactual Text Generation
Van Bach Nguyen
Jorg Schlotterer
Christin Seifert
107
7
0
26 Apr 2024
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive
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LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study
Van Bach Nguyen
Paul Youssef
Jorg Schlotterer
Christin Seifert
92
18
0
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Lessons from the Use of Natural Language Inference (NLI) in Requirements
  Engineering Tasks
Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks
Mohamad Fazelnia
Viktoria Koscinski
Spencer Herzog
Mehdi Mirakhorli
97
9
0
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Does Instruction Tuning Make LLMs More Consistent?
Does Instruction Tuning Make LLMs More Consistent?
Constanza Fierro
Jiaang Li
Anders Sogaard
LRM
104
2
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23 Apr 2024
Explanation based Bias Decoupling Regularization for Natural Language
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Explanation based Bias Decoupling Regularization for Natural Language Inference
Jianxiang Zang
Hui Liu
66
1
0
20 Apr 2024
Evaluating Subword Tokenization: Alien Subword Composition and OOV
  Generalization Challenge
Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge
Khuyagbaatar Batsuren
Ekaterina Vylomova
Verna Dankers
Tsetsuukhei Delgerbaatar
Omri Uzan
Yuval Pinter
Gábor Bella
96
10
0
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Enabling Natural Zero-Shot Prompting on Encoder Models via
  Statement-Tuning
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
Ahmed Elshabrawy
Yongix Huang
Iryna Gurevych
Alham Fikri Aji
98
1
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19 Apr 2024
AmbigDocs: Reasoning across Documents on Different Entities under the
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AmbigDocs: Reasoning across Documents on Different Entities under the Same Name
Yoonsang Lee
Xi Ye
Eunsol Choi
87
14
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18 Apr 2024
How often are errors in natural language reasoning due to paraphrastic
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How often are errors in natural language reasoning due to paraphrastic variability?
Neha Srikanth
Marine Carpuat
Rachel Rudinger
LRM
83
2
0
17 Apr 2024
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out
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FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
Joonho Yang
Seunghyun Yoon
Byeongjeong Kim
Hwanhee Lee
HILM
124
7
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MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Liyan Tang
Philippe Laban
Greg Durrett
HILMSyDa
88
103
0
16 Apr 2024
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries
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TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis
Spandan Das
Vinay Samuel
Shahriar Noroozizadeh
56
1
0
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WikiSplit++: Easy Data Refinement for Split and Rephrase
WikiSplit++: Easy Data Refinement for Split and Rephrase
Hayato Tsukagoshi
Tsutomu Hirao
Makoto Morishita
Katsuki Chousa
Ryohei Sasano
Koichi Takeda
101
1
0
13 Apr 2024
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
Mobashir Sadat
Cornelia Caragea
101
5
0
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XNLIeu: a dataset for cross-lingual NLI in Basque
XNLIeu: a dataset for cross-lingual NLI in Basque
Maite Heredia
Julen Etxaniz
Muitze Zulaika
X. Saralegi
Jeremy Barnes
A. Soroa
59
1
0
10 Apr 2024
A Survey on the Integration of Generative AI for Critical Thinking in
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A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
Athanasios Karapantelakis
Alexandros Nikou
Ajay Kattepur
Jean Martins
Leonid Mokrushin
S. Mohalik
Marin Orlic
Aneta Vulgarakis Feljan
99
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0
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Onco-Retriever: Generative Classifier for Retrieval of EHR Records in
  Oncology
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology
Shashi Kant Gupta
Aditya Basu
Bradley Taylor
Anai N. Kothari
Hrituraj Singh
RALM
54
4
0
10 Apr 2024
Towards Building a Robust Toxicity Predictor
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Sourav S. Bhabesh
Yi Xiang
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Yanjun Qi
AAML
169
16
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Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Roopkatha Dey
Aivy Debnath
Sayak Kumar Dutta
Kaustav Ghosh
Arijit Mitra
Arghya Roy Chowdhury
Jaydip Sen
AAMLSILM
70
1
0
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SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for
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SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
Mael Jullien
Marco Valentino
André Freitas
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78
44
0
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IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe
  Biomedical Natural Language Inference for Clinical Trials
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Shreyasi Mandal
Ashutosh Modi
LRMELM
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Investigating the Robustness of Modelling Decisions for Few-Shot
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Antske Fokkens
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Simple Techniques for Enhancing Sentence Embeddings in Generative
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Estimating the Causal Effects of Natural Logic Features in
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Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models
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André Freitas
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Using Interpretation Methods for Model Enhancement
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Chengyue Jiang
Kewei Tu
93
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Can Humans Identify Domains?
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Evaluating Large Language Models Using Contrast Sets: An Experimental
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Predicting the Performance of Foundation Models via
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Aditi Raghunathan
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PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
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Qixiang Fang
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115
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Effectively Prompting Small-sized Language Models for Cross-lingual
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LRM
74
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SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework
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SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
Jaemin Kim
Yohan Na
Kangmin Kim
Sang Rak Lee
Dong-Kyu Chae
62
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PID Control-Based Self-Healing to Improve the Robustness of Large
  Language Models
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Zihu Wang
Yifan Yang
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AAML
96
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Gecko: Versatile Text Embeddings Distilled from Large Language Models
Gecko: Versatile Text Embeddings Distilled from Large Language Models
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Zhuyun Dai
Xiaoqi Ren
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...
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Siddhartha Reddy Jonnalagadda
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RALMVLMSyDa
107
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FACTOID: FACtual enTailment fOr hallucInation Detection
FACTOID: FACtual enTailment fOr hallucInation Detection
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S. M. Towhidul
Krishnav Rajbangshi
Shravani Nag
Aman Chadha
Amit P. Sheth
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HILM
105
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