Who cites «How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark»
- 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)
- A Survey of Link Prediction in N-ary Knowledge Graphs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- 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
- LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- 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
- 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
- basarkar-2026-enhancing-mathematical-problem-solving-llms
- chen-2025-cogatom-cognitive-atoms-olympiad-level
- chen-2026-understanding-llm-performance-degradation-multi
- dong-2025-mmdocir-benchmarking-multimodal-retrieval-long
- huang-2025-lora-par-flexible-dual-system
- li-2025-humanity-s-last-code-exam
- li-2026-awarenessbench-assessing-cognitive-capabilities-language
- qu-2026-four-stage-decomposition-word-problem
- thatikonda-2026-surface-forms-symbolic-edits-test
- wang-2025-ai-knows-where-you-are
- yang-2025-utmath-benchmark-math-evaluation-unit
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yang-2025-llm-reasoning-distracted-irrelevant-context/