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Transforming Question Answering Datasets Into Natural Language Inference
  Datasets
v1v2 (latest)

Transforming Question Answering Datasets Into Natural Language Inference Datasets

9 September 2018
Dorottya Demszky
Kelvin Guu
Abigail Z. Jacobs
ArXiv (abs)PDFHTML

Papers citing "Transforming Question Answering Datasets Into Natural Language Inference Datasets"

50 / 117 papers shown
Title
MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference
MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference
Mădălina Zgreabăn
Tejaswini Deoskar
Lasha Abzianidze
118
0
0
28 Oct 2025
Memory Constrained Dynamic Subnetwork Update for Transfer Learning
Memory Constrained Dynamic Subnetwork Update for Transfer Learning
Ael Quélennec
Pavlo Mozharovskyi
Van-Tam Nguyen
Enzo Tartaglione
88
0
0
23 Oct 2025
Study of Training Dynamics for Memory-Constrained Fine-Tuning
Study of Training Dynamics for Memory-Constrained Fine-Tuning
Ael Quélennec
Nour Hezbri
Pavlo Mozharovskyi
Van-Tam Nguyen
Enzo Tartaglione
96
1
0
22 Oct 2025
DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the Edge
DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the Edge
Asmita Mohanty
Gezheng Kang
Lei Gao
M. Annavaram
106
0
0
19 Oct 2025
Quantum NLP models on Natural Language Inference
Quantum NLP models on Natural Language Inference
Ling Sun
Peter Sullivan
Michael Martin
Yun Zhou
99
0
0
12 Oct 2025
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Lorenzo Nikiforos
Charalampos Antoniadis
Luciano Prono
F. Pareschi
R. Rovatti
Gianluca Setti
112
0
0
09 Oct 2025
ARGUS: Hallucination and Omission Evaluation in Video-LLMs
ARGUS: Hallucination and Omission Evaluation in Video-LLMs
Ruchit Rawal
Reza Shirkavand
Heng-Chiao Huang
Gowthami Somepalli
Tom Goldstein
267
3
0
09 Jun 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Pieyi Zhang
Richong Zhang
Zhijie Nie
VLM
302
2
0
23 Mar 2025
Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024
Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024
Christopher Malon
LRM
172
4
0
08 Nov 2024
BQA: Body Language Question Answering Dataset for Video Large Language Models
BQA: Body Language Question Answering Dataset for Video Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Shintaro Ozaki
Kazuki Hayashi
Miyu Oba
Yusuke Sakai
Hidetaka Kamigaito
Taro Watanabe
418
3
0
17 Oct 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yu-Chen Lin
Wei-Hua Li
Jun-Cheng Chen
Chu-Song Chen
251
2
0
10 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 DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Adrian Cosma
Stefan Ruseti
Mihai Dascalu
Cornelia Caragea
167
4
0
04 Oct 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive
  Prompt Optimization
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
287
29
0
04 Jul 2024
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory
Haoze Wu
Zihan Qiu
Zili Wang
Hang Zhao
Jie Fu
MoE
196
7
0
18 Jun 2024
Document-level Claim Extraction and Decontextualisation for
  Fact-Checking
Document-level Claim Extraction and Decontextualisation for Fact-Checking
Zhenyun Deng
Michael Schlichtkrull
Andreas Vlachos
HILM
276
9
0
05 Jun 2024
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment
Peiran Yao
Denilson Barbosa
ELM
233
11
0
26 May 2024
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
217
16
0
24 Apr 2024
Robust and Scalable Model Editing for Large Language Models
Robust and Scalable Model Editing for Large Language Models
Yingfa Chen
Zhengyan Zhang
Xu Han
Chaojun Xiao
Zhiyuan Liu
Chen Chen
Kuai Li
Tao Yang
Maosong Sun
KELM
143
2
0
26 Mar 2024
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
Muling Wu
Tianlong Li
Xiaohua Wang
Changze Lv
Changze Lv
Zixuan Ling
Jianhao Zhu
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
406
32
0
23 Feb 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables
  Parameter-Efficient Transfer Learning
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
Zhisheng Lin
Han Fu
Chenghao Liu
Zhuo Li
Jianling Sun
MoEMoMe
238
6
0
23 Feb 2024
Enhancing Systematic Decompositional Natural Language Inference Using
  Informal Logic
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
Nathaniel Weir
Kate Sanders
Orion Weller
Shreya Sharma
Dongwei Jiang
...
Bhavana Dalvi
Oyvind Tafjord
Peter Alexander Jansen
Peter Clark
Benjamin Van Durme
257
17
0
22 Feb 2024
HyperMoE: Towards Better Mixture of Experts via Transferring Among
  Experts
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts
Hao Zhao
Zihan Qiu
Huijia Wu
Zili Wang
Zhaofeng He
Jie Fu
MoE
439
24
0
20 Feb 2024
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Haeju Lee
Minchan Jeong
SeYoung Yun
Kee-Eung Kim
AAMLVPVLM
219
4
0
13 Feb 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore
Task Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li
Jeffrey Flanigan
364
127
0
26 Dec 2023
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs
Moy Yuan
Andreas Vlachos
209
8
0
19 Dec 2023
Pipeline and Dataset Generation for Automated Fact-checking in Almost
  Any Language
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
Jan Drchal
Herbert Ullrich
Tomás Mlynár
Václav Moravec
HILM
331
5
0
15 Dec 2023
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language
  Understanding
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding
Yuxin Zi
Hariram Veeramani
Kaushik Roy
Amit P. Sheth
AI4TS
211
2
0
15 Dec 2023
A Bayesian approach for prompt optimization in pre-trained language
  models
A Bayesian approach for prompt optimization in pre-trained language models
Antonio Sabbatella
Andrea Ponti
Antonio Candelieri
I. Giordani
Francesco Archetti
258
4
0
01 Dec 2023
Exploring the Numerical Reasoning Capabilities of Language Models: A
  Comprehensive Analysis on Tabular Data
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mubashara Akhtar
Abhilash Shankarampeta
Vivek Gupta
Arpit Patil
O. Cocarascu
Elena Simperl
LRMReLMLMTDELM
223
36
0
03 Nov 2023
BabyStories: Can Reinforcement Learning Teach Baby Language Models to
  Write Better Stories?
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?
Xingmeng Zhao
Tongnian Wang
Sheri Osborn
Anthony Rios
114
11
0
25 Oct 2023
Diversity Enhanced Narrative Question Generation for Storybooks
Diversity Enhanced Narrative Question Generation for StorybooksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hokeun Yoon
Jinyeong Bak
240
10
0
25 Oct 2023
Ask To The Point: Open-Domain Entity-Centric Question Generation
Ask To The Point: Open-Domain Entity-Centric Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yuxiang Liu
Jie Huang
Kevin Chen-Chuan Chang
225
6
0
21 Oct 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Prototype-based HyperAdapter for Sample-Efficient Multi-task TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hao Zhao
Jie Fu
Zhaofeng He
384
8
0
18 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
382
8
0
13 Oct 2023
No that's not what I meant: Handling Third Position Repair in
  Conversational Question Answering
No that's not what I meant: Handling Third Position Repair in Conversational Question AnsweringSIGDIAL Conferences (SIGDIAL), 2023
Vevake Balaraman
Arash Eshghi
Ioannis Konstas
Ioannis V. Papaioannou
KELM
101
5
0
31 Jul 2023
WebArena: A Realistic Web Environment for Building Autonomous Agents
WebArena: A Realistic Web Environment for Building Autonomous AgentsInternational Conference on Learning Representations (ICLR), 2023
Shuyan Zhou
Frank F. Xu
Hao Zhu
Xuhui Zhou
Robert Lo
...
Tianyue Ou
Yonatan Bisk
Daniel Fried
Uri Alon
Graham Neubig
LLMAG
670
816
0
25 Jul 2023
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity
  and Infant Care
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant CareNeural Information Processing Systems (NeurIPS), 2023
Tong Xiang
Liangzhi Li
Wangyue Li
Min‐Jun Bai
Lu Wei
Bowen Wang
Noa Garcia
313
8
0
04 Jul 2023
IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning
IDOL: Indicator-oriented Logic Pre-training for Logical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zihang Xu
Ziqing Yang
Yiming Cui
Shijin Wang
LRMReLMMLLM
226
8
0
27 Jun 2023
SituatedGen: Incorporating Geographical and Temporal Contexts into
  Generative Commonsense Reasoning
SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense ReasoningNeural Information Processing Systems (NeurIPS), 2023
Yunxiang Zhang
Xiaojun Wan
AILawLRM
227
9
0
21 Jun 2023
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in
  Natural Language Inference
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language InferenceLaw (LAW), 2023
Animesh Nighojkar
Antonio Laverghetta
John Licato
195
4
0
16 Jun 2023
FERMAT: An Alternative to Accuracy for Numerical Reasoning
FERMAT: An Alternative to Accuracy for Numerical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jasivan Sivakumar
N. Moosavi
ReLMLRM
235
6
0
27 May 2023
Modularized Zero-shot VQA with Pre-trained Models
Modularized Zero-shot VQA with Pre-trained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Rui Cao
Jing Jiang
LRM
254
3
0
27 May 2023
AlignScore: Evaluating Factual Consistency with a Unified Alignment
  Function
AlignScore: Evaluating Factual Consistency with a Unified Alignment FunctionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuheng Zha
Yichi Yang
Ruichen Li
Zhiting Hu
HILM
339
285
0
26 May 2023
Language Models with Rationality
Language Models with RationalityConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Nora Kassner
Oyvind Tafjord
Ashish Sabharwal
Kyle Richardson
Hinrich Schütze
Peter Clark
ReLMKELMLRM
236
23
0
23 May 2023
Learning Easily Updated General Purpose Text Representations with
  Adaptable Task-Specific Prefixes
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific PrefixesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kuan-Hao Huang
L Tan
Rui Hou
Sinong Wang
Amjad Almahairi
Ruty Rinott
AI4CE
165
0
0
22 May 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
TaskWeb: Selecting Better Source Tasks for Multi-task NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Joongwon Kim
Akari Asai
Gabriel Ilharco
Hannaneh Hajishirzi
248
12
0
22 May 2023
Zero-shot Faithful Factual Error Correction
Zero-shot Faithful Factual Error CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Kung-Hsiang Huang
Hou Pong Chan
Heng Ji
KELMHILM
402
34
0
13 May 2023
NevIR: Negation in Neural Information Retrieval
NevIR: Negation in Neural Information RetrievalConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Orion Weller
Dawn J Lawrie
Benjamin Van Durme
MU
273
32
0
12 May 2023
Who's the Best Detective? LLMs vs. MLs in Detecting Incoherent Fourth
  Grade Math Answers
Who's the Best Detective? LLMs vs. MLs in Detecting Incoherent Fourth Grade Math Answers
Felipe Urrutia
R. Araya
145
4
0
21 Apr 2023
Exploring the Trade-Offs: Unified Large Language Models vs Local
  Fine-Tuned Models for Highly-Specific Radiology NLI Task
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI TaskIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Zihao Wu
Lu Zhang
Chao-Yang Cao
Xiao-Xing Yu
Haixing Dai
...
Shijie Zhao
Hongtu Zhu
Xiang Li
Dajiang Zhu
Tianming Liu
LM&MA
139
46
0
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