Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 5

600 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Is a Question Decomposition Unit All We Need? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Knowledge Transfer between Structured and Unstructured Sources for Complex Question Answering — 2022 · Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI)
LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Least-to-most prompting enables complex reasoning in large language models — 2022
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Measurement Extraction with Natural Language Processing: A Review — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
MixQG: Neural Question Generation with Mixed Answer Types — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Modeling Multi-hop Question Answering as Single Sequence Prediction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MultiSpanQA: A Dataset for Multi-Span Question Answering — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
OPERA: Operation-Pivoted Discrete Reasoning over Text — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
PaLM: Scaling Language Modeling with Pathways — 2022 · arXiv:2204.02311
Perturbation Augmentation for Fairer NLP — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
ProQA: Structural Prompt-based Pre-training for Unified Question Answering — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks — 2022 · arXiv:2211.12588
Prompt Tuning for Discriminative Pre-trained Language Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
QLEVR: A Diagnostic Dataset for Quantificational Language and Elementary Visual Reasoning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Question Answering Infused Pre-training of General-Purpose Contextualized Representations — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning — 2022 · arXiv:2212.07919
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Reasoning with Language Model Prompting: A Survey — 2022 · arXiv:2212.09597
Reframing Instructional Prompts to GPTk's Language — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Successive Prompting for Decomposing Complex Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Teaching Neural Module Networks to Do Arithmetic — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Tracing Origins: Coreference-aware Machine Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Training language models to follow instructions with human feedback — 2022 · arXiv:2203.02155
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
UKP-SQUARE: An Online Platform for Question Answering Research — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Dataset for Answering Time-Sensitive Questions — 2021 · arXiv:2108.06314
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Benchmarking Machine Reading Comprehension: A Psychological Perspective — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Benchmarking Robustness of Machine Reading Comprehension Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
BiQuAD: Towards QA based on deeper text understanding — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Competency Problems: On Finding and Removing Artifacts in Language Data — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Constrained Language Models Yield Few-Shot Semantic Parsers — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Controllable Open-ended Question Generation with A New Question Type Ontology — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Coreference Reasoning in Machine Reading Comprehension — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
DAGN: Discourse-Aware Graph Network for Logical Reasoning — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Database reasoning over text — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies — 2021
Discrete Reasoning Templates for Natural Language Understanding — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
DynaSent: A Dynamic Benchmark for Sentiment Analysis — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Dynabench: Rethinking Benchmarking in NLP — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
Few-Shot Question Answering by Pretraining Span Selection — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
FinQA: A Dataset of Numerical Reasoning over Financial Data — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Finetuned Language Models Are Zero-Shot Learners — 2021 · arXiv:2109.01652
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts — 2021 · arXiv:2112.06905
Have You Seen That Number? Investigating Extrapolation in Question Answering Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
How Fast can BERT Learn Simple Natural Language Inference? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Investigating the Limitations of Transformers with Simple Arithmetic Tasks — 2021 · arXiv:2102.13019
Learning by Fixing: Solving Math Word Problems with Weak Supervision — 2021 · AAAI 2021 (arXiv 2012.10582)
Learning from Limited Labels for Long Legal Dialogue — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
Locke''s Holiday: Belief Bias in Machine Reading — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
Muppet: Massive Multi-task Representations with Pre-Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
NLQuAD: A Non-Factoid Long Question Answering Data Set — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Numerical reasoning in machine reading comprehension tasks: are we there yet? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Paired Examples as Indirect Supervision in Latent Decision Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Predicting Numerals in Natural Language Text Using a Language Model Considering the Quantitative Aspects of Numerals — 2021 · Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
Prediction or Comparison: Toward Interpretable Qualitative Reasoning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Reliability Testing for Natural Language Processing Systems — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Representing Numbers in NLP: a Survey and a Vision — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Robust Question Answering Through Sub-part Alignment — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
SPARQLing Database Queries from Intermediate Question Decompositions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing