Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems»

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

A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
AI, Take the Wheel: What Drives Delegation and Trust in Human–Computer Cooperative Question Answering? — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
GSM-Noise: Exploring and Enhancing Large Language Models'' Reasoning under Noisy Inputs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Immediate Inference: The Missing Foundation in Large Language Model Logical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Modeling Human Adversarial Strategy Adaptation in Multi-Turn Language Model Interactions — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
MultiWikiQA: A Reading Comprehension Benchmark in 300+ Languages — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Parameter-Efficient Quantum NLP for Paraphrase Detection: Performance, Robustness, and Entanglement — 2026 · arXiv:2609.14529
Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
StanceAttack: Adversarial Attack for Stance Detection — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
TruthTrap: A Bilingual Benchmark for Evaluating Factually Correct Yet Misleading Information in Question Answering — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
Uncovering Currency Bias and Syntax Gap in Text Embedding Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
A Template Is All You Meme — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Adversarial Defense without Adversarial Defense: Enhancing Language Model Robustness via Instance-level Principal Component Removal — 2025 · Transactions of the Association for Computational Linguistics
Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions — 2025 · arXiv:2504.11373
Corpus Poisoning via Approximate Greedy Gradient Descent — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
DARE: Diverse Visual Question Answering with Robustness Evaluation — 2025 · Transactions of the Association for Computational Linguistics
HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
LLM-based Adversarial Dataset Augmentation for Automatic Media Bias Detection — 2025 · Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets — 2025 · Computational Linguistics
Minimizing Queries, Maximizing Impact: Adaptive Score-Based Attack and Defense for Sentiment Analysis — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Mitigating Shortcut Learning with InterpoLated Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Normative Conflicts and Shallow AI Alignment — 2025 · arXiv:2506.04679 · Milliere, R. (2025). Normative conflicts and shallow AI alignment. Philosophical Studies, 1-44
ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
People will agree what I think: Investigating LLM''s False Consensus Effect — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Ranking Over Scoring: Towards Reliable and Robust Automated Evaluation of LLM-Generated Medical Explanatory Arguments — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Robustness Evaluation of the German Extractive Question Answering Task — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
SPIRIT: Patching Speech Language Models against Jailbreak Attacks — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
TaeBench: Improving Quality of Toxic Adversarial Examples — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)
TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Typology-Guided Adaptation in Multilingual Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Comprehensive Survey of Contamination Detection Methods in Large Language Models — 2024 · arXiv:2404.00699
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Adversarial Math Word Problem Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Context-aware Adversarial Attack on Named Entity Recognition — 2024 · Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024)
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Cutting Through the Noise: Boosting LLM Performance on Math Word Problems — our card · 2024 · arXiv:2406.15444
DA$^3$: A Distribution-Aware Adversarial Attack against Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Desiderata For The Context Use Of Question Answering Systems — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
ECON: On the Detection and Resolution of Evidence Conflicts — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Extreme Miscalibration and the Illusion of Adversarial Robustness — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Fast Adversarial Attacks on Language Models In One GPU Minute — 2024 · arXiv:2402.15570
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR — 2024 · Proceedings of the 6th Clinical Natural Language Processing Workshop
Machine Translation Testing via Syntactic Tree Pruning — 2024 · arXiv:2401.00751
Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
On the Relationship between Skill Neurons and Robustness in Prompt Tuning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Optimal and efficient text counterfactuals using Graph Neural Networks — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Random Smooth-based Certified Defense against Text Adversarial Attack — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs — 2024 · Proceedings of the Fifth Workshop on Privacy in Natural Language Processing
Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Robust and Scalable Model Editing for Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Simpler Becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora? — 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
The Art of Saying No: Contextual Noncompliance in Language Models — 2024 · arXiv:2407.12043
The Earth is Flat because...: Investigating LLMs'' Belief towards Misinformation via Persuasive Conversation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The Llama 3 Herd of Models — 2024 · arXiv:2407.21783
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models — 2024 · Transactions of the Association for Computational Linguistics
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
VISREAS: Complex Visual Reasoning with Unanswerable Questions — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
What Evidence Do Language Models Find Convincing? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
What Makes Language Models Good-enough? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
``Knowing When You Don''t Know'''': A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
A Lightweight Method to Generate Unanswerable Questions in English — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023