Who cites «IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions»

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

1. CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. It''s Not What You Say, It''s How You Say It: Evaluating LLM Responses to Expressions of Belief — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
3. METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
4. Understanding Benchmark Language Under Weakened Formal Semantics — 2026 · Transactions of the Association for Computational Linguistics
5. ACCORD: Closing the Commonsense Measurability Gap — 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)
6. Can LLMs Simulate Personas with Reversed Performance? A Systematic Investigation for Counterfactual Instruction Following in Math Reasoning Context — 2025 · arXiv:2504.06460
7. Executable Counterfactuals: Improving LLMs'' Causal Reasoning Through Code — 2025 · arXiv:2510.01539
8. Identifying and Answering Questions with False Assumptions: An Interpretable Approach — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
9. PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
10. Synergistic Weak-Strong Collaboration by Aligning Preferences — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
11. VLind-Bench: Measuring Language Priors in Large Vision-Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
12. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey — 2024 · arXiv:2404.01869
13. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
14. LLMs Are Prone to Fallacies in Causal Inference — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
15. Large Language Models and Causal Inference in Collaboration: A Survey — 2024 · arXiv:2403.09606
16. The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
17. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation — 2023 · arXiv:2310.03214
18. Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks — 2023 · arXiv:2307.02477