Who cites «How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark»

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

1. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2. A Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math Reasoning — 2026 · arXiv:2609.17804
3. AwarenessBench: Assessing Cognitive Capabilities of Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
4. Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs — 2026 · arXiv:2608.30256
5. Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation — 2026 · arXiv:2602.03950
6. Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
7. A Survey of Link Prediction in N-ary Knowledge Graphs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
8. AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
9. CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
10. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
11. Humanity''s Last Code Exam: Can Advanced LLMs Conquer Human''s Hardest Code Competition? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
12. LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
13. LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
14. MMDocIR: Benchmarking Multimodal Retrieval for Long Documents — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
15. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
16. UTMath: A Benchmark for Math Evaluation with Unit Test — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
17. VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing