Saku Sugawara
34 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Natural Language Processing
(25)
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Keywords
question answering
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language model
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large language model
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reading comprehension
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natural language understanding
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dataset evaluation
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natural language inference
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representation learning
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benchmark dataset
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benchmark evaluation
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machine reading comprehension
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language model evaluation
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spurious correlation
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data augmentation
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human evaluation
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multi-hop question answering
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question difficulty
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bias mitigation
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shortcut learning
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generalization ability
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Papers
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
ACL 2026
C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences
ACL 2026
CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models
ACL 2026
Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge
ACL 2026
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
EMNLP 2025
Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models
COLING 2025
MCQFormatBench: Robustness Tests for Multiple-Choice Questions
ACL 2025
Specification-Aware Machine Translation and Evaluation for Purpose Alignment
EMNLP 2025
TactfulToM: Do LLMs have the Theory of Mind ability to understand White Lies?
EMNLP 2025
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
EMNLP 2024
Modeling Overregularization in Children with Small Language Models
ACL 2024
Rationale-Aware Answer Verification by Pairwise Self-Evaluation
EMNLP 2024
What Makes Language Models Good-enough?
ACL 2024
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
EACL 2023
Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension
EMNLP 2023
On Degrees of Freedom in Defining and Testing Natural Language Understanding
ACL 2023
Probing Physical Reasoning with Counter-Commonsense Context
ACL 2023
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments
CoNLL 2023
Which Shortcut Solution Do Question Answering Models Prefer to Learn?
AAAI 2023
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning
EMNLP 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
EMNLP 2022
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
AACL 2022
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering
EMNLP 2022
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios
COLING 2022
What Makes Reading Comprehension Questions Difficult?
ACL 2022
Benchmarking Machine Reading Comprehension: A Psychological Perspective
EACL 2021
Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap
EMNLP 2021
Embracing Ambiguity: Shifting the Training Target of NLI Models
ACL 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation
ACL 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
ACL 2021
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
AAAI 2020
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
COLING 2020
What Makes Reading Comprehension Questions Easier?
EMNLP 2018
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
ACL 2017