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QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
8 September 2019
Oyvind Tafjord
Matt Gardner
Kevin Lin
Peter Clark
ArXiv (abs)PDFHTML

Papers citing "QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions"

50 / 70 papers shown
LLM-Augmented Symbolic NLU System for More Reliable Continuous Causal Statement Interpretation
LLM-Augmented Symbolic NLU System for More Reliable Continuous Causal Statement Interpretation
Xin Lian
Kenneth D. Forbus
127
0
0
22 Oct 2025
The Flaw of Averages: Quantifying Uniformity of Performance on Benchmarks
The Flaw of Averages: Quantifying Uniformity of Performance on Benchmarks
Arda Uzunoglu
Tianjian Li
Daniel Khashabi
172
0
0
30 Sep 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
Xiaopeng Ke
Hexuan Deng
Xuebo Liu
Jun Rao
Zhenxi Song
Jun-chen Yu
Min Zhang
SyDa
230
1
0
24 Jul 2025
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
Md Nazmus Sakib
LRM
149
1
0
16 Jun 2025
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
Akash Dhasade
Divyansh Jhunjhunwala
Milos Vujasinovic
Gauri Joshi
Anne-Marie Kermarrec
MoMe
308
0
0
29 May 2025
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
Yuatyong Chaichana
Thanapat Trachu
Peerat Limkonchotiwat
Konpat Preechakul
Tirasan Khandhawit
Ekapol Chuangsuwanich
MoMe
585
0
0
29 May 2025
EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
Aakriti Agrawal
Mucong Ding
Zora Che
Chenghao Deng
Anirudh Satheesh
Bang An
Bayan Bruss
John Langford
Furong Huang
319
0
0
28 May 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
Dynamic Fisher-weighted Model Merging via Bayesian OptimizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Sanwoo Lee
Jiahao Liu
Qifan Wang
Jiadong Wang
Xunliang Cai
Yunfang Wu
MoMe
942
5
0
26 Apr 2025
Reinforced Model Merging
Reinforced Model Merging
J. N. Han
Jingwen Ye
Shunyu Liu
Haofei Zhang
Jie Song
Zunlei Feng
Weilong Dai
MoMe
274
0
0
27 Mar 2025
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
Abdelrahman Abdallah
Bhawna Piryani
Jamshid Mozafari
Mohammed Ali
Adam Jatowt
951
5
0
21 Feb 2025
SuperMerge: An Approach For Gradient-Based Model Merging
SuperMerge: An Approach For Gradient-Based Model Merging
Haoyu Yang
Zheng Zhang
Saket Sathe
MoMe
381
0
0
17 Feb 2025
Superpose Task-specific Features for Model Merging
Superpose Task-specific Features for Model Merging
Haiquan Qiu
You Wu
Dong Li
Jianmin Guo
Quanming Yao
MoMe
522
1
0
15 Feb 2025
Weak-to-Strong Generalization Through the Data-Centric Lens
Weak-to-Strong Generalization Through the Data-Centric LensInternational Conference on Learning Representations (ICLR), 2024
Changho Shin
John Cooper
Frederic Sala
455
14
0
05 Dec 2024
EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
Aakriti Agrawal
Mucong Ding
Zora Che
Chenghao Deng
Anirudh Satheesh
Bang An
Furong Huang
John Langford
Furong Huang
300
7
0
06 Oct 2024
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
Jiajie Jin
Yutao Zhu
Xinyu Yang
Chenghao Zhang
Zhicheng Dou
Chenghao Zhang
Tong Zhao
Zhao Yang
Zhicheng Dou
Ji-Rong Wen
VLM
415
143
0
22 May 2024
Localizing Task Information for Improved Model Merging and Compression
Localizing Task Information for Improved Model Merging and CompressionInternational Conference on Machine Learning (ICML), 2024
Ke Wang
Nikolaos Dimitriadis
Guillermo Ortiz-Jimenez
Franccois Fleuret
Pascal Frossard
MoMe
287
86
0
13 May 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability
  of Large Language Models
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRMReLMELM
515
61
0
23 Apr 2024
No More Distractions: an Adaptive Up-Sampling Algorithm to Reduce Data
  Artifacts
No More Distractions: an Adaptive Up-Sampling Algorithm to Reduce Data Artifacts
Han Chen
140
0
0
25 Jan 2024
Crystal: Introspective Reasoners Reinforced with Self-Feedback
Crystal: Introspective Reasoners Reinforced with Self-FeedbackConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hamish Ivison
Ramakanth Pasunuru
Hannaneh Hajishirzi
Yejin Choi
Asli Celikyilmaz
LRMReLM
252
31
0
07 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
424
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02 Oct 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Jiadong Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
315
8
0
26 Sep 2023
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
Learning Deductive Reasoning from Synthetic Corpus based on Formal LogicInternational Conference on Machine Learning (ICML), 2023
Terufumi Morishita
Gaku Morio
Atsuki Yamaguchi
Yasuhiro Sogawa
ReLMLRMAI4CEELM
259
38
0
11 Aug 2023
KoRC: Knowledge oriented Reading Comprehension Benchmark for Deep Text
  Understanding
KoRC: Knowledge oriented Reading Comprehension Benchmark for Deep Text UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zijun Yao
Yantao Liu
Xin Lv
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Jifan Yu
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212
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06 Jul 2023
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
Text Alignment Is An Efficient Unified Model for Massive NLP TasksNeural Information Processing Systems (NeurIPS), 2023
Yuheng Zha
Yichi Yang
Ruichen Li
Zhiting Hu
ALM
337
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06 Jul 2023
TIES-Merging: Resolving Interference When Merging Models
TIES-Merging: Resolving Interference When Merging ModelsNeural Information Processing Systems (NeurIPS), 2023
Prateek Yadav
Derek Tam
Leshem Choshen
Colin Raffel
Joey Tianyi Zhou
MoMe
378
525
0
02 Jun 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
246
23
0
23 May 2023
Teaching Probabilistic Logical Reasoning to Transformers
Teaching Probabilistic Logical Reasoning to TransformersFindings (Findings), 2023
Aliakbar Nafar
Kristen Brent Venable
Parisa Kordjamshidi
ReLMLRM
303
5
0
22 May 2023
Can NLP Models Correctly Reason Over Contexts that Break the Common
  Assumptions?
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Neeraj Varshney
Mihir Parmar
Nisarg Patel
Divij Handa
Sayantan Sarkar
Man Luo
Chitta Baral
LRM
156
5
0
20 May 2023
Pre-Training to Learn in Context
Pre-Training to Learn in ContextAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuxian Gu
Li Dong
Furu Wei
Shiyu Huang
CLIPLRMReLM
352
54
0
16 May 2023
Vera: A General-Purpose Plausibility Estimation Model for Commonsense
  Statements
Vera: A General-Purpose Plausibility Estimation Model for Commonsense StatementsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hamish Ivison
Wenya Wang
Dianzhuo Wang
Noah A. Smith
Yejin Choi
Hannaneh Hajishirzi
VLM
298
61
0
05 May 2023
Answering Questions by Meta-Reasoning over Multiple Chains of Thought
Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ori Yoran
Tomer Wolfson
Ben Bogin
Uri Katz
Daniel Deutch
Jonathan Berant
ReLMLRMKELM
351
121
0
25 Apr 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
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685
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17 Feb 2023
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language
  Models
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dheeraj Mekala
Jason Wolfe
Subhro Roy
271
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21 Dec 2022
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language
  Models
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language ModelsInternational Conference on Learning Representations (ICLR), 2022
Xiaoman Pan
Wenlin Yao
Hongming Zhang
Dian Yu
Dong Yu
Jianshu Chen
KELM
564
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28 Oct 2022
Different Tunes Played with Equal Skill: Exploring a Unified
  Optimization Subspace for Delta Tuning
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning
Jing Yi
Weize Chen
Yujia Qin
Yankai Lin
Ning Ding
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
274
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Entailer: Answering Questions with Faithful and Truthful Chains of
  Reasoning
Entailer: Answering Questions with Faithful and Truthful Chains of ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
ReLMKELMLRM
242
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Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task
  Generalization
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task GeneralizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yuxian Gu
Pei Ke
Xiaoyan Zhu
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226
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17 Oct 2022
"John is 50 years old, can his son be 65?" Evaluating NLP Models'
  Understanding of Feasibility
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of FeasibilityConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Himanshu Gupta
Neeraj Varshney
Swaroop Mishra
Kuntal Kumar Pal
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Siddharth Goyal
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Task Compass: Scaling Multi-task Pre-training with Task Prefix
Task Compass: Scaling Multi-task Pre-training with Task PrefixConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhuosheng Zhang
Shuohang Wang
Yichong Xu
Yuwei Fang
Wenhao Yu
Yang Liu
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Chenguang Zhu
Michael Zeng
SSLLRM
198
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REV: Information-Theoretic Evaluation of Free-Text Rationales
REV: Information-Theoretic Evaluation of Free-Text RationalesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
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Faeze Brahman
Xiang Ren
Yangfeng Ji
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282
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Rainier: Reinforced Knowledge Introspector for Commonsense Question
  Answering
Rainier: Reinforced Knowledge Introspector for Commonsense Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hamish Ivison
Skyler Hallinan
Ximing Lu
Pengfei He
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RALM
247
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Guess the Instruction! Flipped Learning Makes Language Models Stronger
  Zero-Shot Learners
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Seonghyeon Ye
Doyoung Kim
Joel Jang
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448
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Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple
  Tasks
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
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Xiaoman Pan
Dian Yu
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Few-shot Adaptation Works with UnpredicTable Data
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Eliciting and Understanding Cross-Task Skills with Task-Level
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Investigating the Benefits of Free-Form Rationales
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Jiao Sun
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Jonathan May
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251
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Interpretable Proof Generation via Iterative Backward Reasoning
Interpretable Proof Generation via Iterative Backward ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Hanhao Qu
Yu Cao
Jun Gao
Liang Ding
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LRM
761
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Towards Teachable Reasoning Systems: Using a Dynamic Memory of User
  Feedback for Continual System Improvement
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System ImprovementConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Bhavana Dalvi
Oyvind Tafjord
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LRMKELMReLM
285
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UKP-SQUARE: An Online Platform for Question Answering Research
UKP-SQUARE: An Online Platform for Question Answering ResearchAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
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Kexin Wang
Rachneet Sachdeva
Max Eichler
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...
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Jonas Pfeiffer
Nils Reimers
Gözde Gül Sahin
Iryna Gurevych
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FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
FaiRR: Faithful and Robust Deductive Reasoning over Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Soumya Sanyal
Harman Singh
Xiang Ren
ReLMLRM
240
48
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