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Who cites «Are NLP Models really able to Solve Simple Math Word Problems?»

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

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  1. Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  3. Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. C$^3$D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  6. CHOIR: Harmonizing Structured Persona Diversity for Robust Collaborative LLM Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  11. Evidential Semantic Entropy for LLM Uncertainty Quantification — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  13. FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  15. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  16. Finding the Cracks: Improving LLMs Reasoning with Paraphrastic Probing and Consistency Verification — 2026 · arXiv:2602.11361
  17. FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid Networks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
  18. FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  19. From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  20. G-LoRA: Global-Local Decoupled Low-Rank Adaptation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  21. GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  23. GSM-Noise: Exploring and Enhancing Large Language Models'' Reasoning under Noisy Inputs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  24. HIPO: A Hierarchical Prompt Optimization Framework with Task Awareness and Fine-Grained Debugging — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  25. How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  26. LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. Localized Low-Rank Adaptation within Clustered Parameter Subspaces — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  30. Multi-LLM Collaborative Search for Complex Problem Solving — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  31. PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion Decoding — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  32. Policy-Guided Stepwise Action Planning for Controllable LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  33. PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  34. Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  35. Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  37. Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  38. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. TabularMath: Understanding Math Reasoning over Tables with Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  40. Taming ``Zombie'''' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  42. Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models? — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  43. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics — 2025 · arXiv:2502.14333
  44. A Survey on Large Language Models for Mathematical Reasoning — 2025 · arXiv:2506.08446
  45. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  46. Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. An Analysis of the Impact of Problem Paraphrasing on LLM-Based Mathematical Problem Solving — 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
  49. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  50. Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery — 2025 · arXiv:2502.15224
  52. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  53. BanglaMATH : A Bangla benchmark dataset for testing LLM mathematical reasoning at grades 6, 7, and 8 — 2025 · Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)
  54. Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  55. Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  56. CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  57. CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  58. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  60. CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  61. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  62. Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  63. DenseLoRA: Dense Low-Rank Adaptation of Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  65. Do Large Language Model Benchmarks Test Reliability? — 2025 · arXiv:2502.03461
  66. Efficient Tool Use with Chain-of-Abstraction Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  67. Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models — 2025 · arXiv:2501.02599
  68. EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  69. Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  70. Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning — 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)
  71. Entropy-based Exploration Conduction for Multi-step Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  72. Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  73. Evaluating LLMs with Multiple Problems at once — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
  74. Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  75. Evaluating Numeracy of Language Models as a Natural Language Inference Task — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  76. Exposing the Achilles'' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. FLARE: Faithful Logic-Aided Reasoning and Exploration — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  78. Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  80. Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  81. Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
  82. Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  83. Improving LLM Reasoning through Interpretable Role-Playing Steering — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  84. Improving LLMs' Generalized Reasoning Abilities by Graph Problems — 2025 · arXiv:2507.17168
  85. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  86. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. Kairos: Low-latency Multi-Agent Serving with Shared LLMs and Excessive Loads in the Public Cloud — 2025 · arXiv:2508.06948
  88. LEMMA: Learning from Errors for MatheMatical Advancement in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  89. LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs — 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)
  90. Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
  91. Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  92. Let''s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  93. MATH-Perturb: Benchmarking LLMs'' Math Reasoning Abilities against Hard Perturbations — 2025 · arXiv:2502.06453
  94. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  95. Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  96. Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges — 2025 · arXiv:2502.08680
  97. MegaMath: Pushing the Limits of Open Math Corpora — 2025 · arXiv:2504.02807
  98. Meta-Reasoning Improves Tool Use in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  99. Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling — 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)
  100. MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs — 2025 · arXiv:2507.17476

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