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Who cites «Solving General Arithmetic Word Problems»

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

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  1. Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs — 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. AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. Benchmarking Mathematical Reasoning in a Low-Resource Language: Structured Prompting and Evaluation in Basque — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  5. 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)
  6. CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models — 2026 · arXiv:2605.28292
  7. CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  8. Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation — 2026 · arXiv:2606.05988
  9. Dynamic PMI-Guided Contrastive Decoding Reduces Hallucination in Large Language Models: A Unified Framework of Fine-Grained Input Transformations — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  10. EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  11. From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers — 2026 · arXiv:2603.10877
  12. G-LoRA: Global-Local Decoupled Low-Rank Adaptation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  13. GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  14. 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
  15. Graph-GRPO: Stabilizing Multi-Agent Topology Learning via Group Relative Policy Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  16. Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning — 2026 · arXiv:2602.06584
  17. Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  18. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  19. MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. More Agents Improve Math Problem Solving but Adversarial Robustness Gap Persists — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  21. On LLM Prompting Techniques for Arabic Language Arithmetic Reasoning — 2026 · The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks
  22. Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  23. Pin Once, Swap Light: Subspace-Aligned Centroid-Residual Training for Efficient Ultra-LoRA Serving — 2026 · arXiv:2608.03579
  24. 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)
  25. 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)
  26. Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models — 2026 · arXiv:2607.19608
  27. TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  28. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics — 2025 · arXiv:2502.14333
  29. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  30. AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. 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)
  32. 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)
  33. AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  34. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  35. ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving — 2025 · arXiv:2501.08203
  36. Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models — 2025 · arXiv:2510.10252
  37. Automatic Mathematic In-Context Example Generation for LLM Using Multi-Modal Consistency — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  38. 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
  39. 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)
  40. BenNumEval: A Benchmark to Assess LLMs'' Numerical Reasoning Capabilities in Bengali — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  41. CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  42. CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  43. CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  44. CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  45. CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  46. Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting — 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)
  47. Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  48. DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning — 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)
  49. DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  50. Do Large Language Model Benchmarks Test Reliability? — 2025 · arXiv:2502.03461
  51. Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  52. Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  53. Evaluating Frontier LLMs on PhD-Level Mathematical Reasoning: A Benchmark on a Textbook in Theoretical Computer Science about Randomized Algorithms — 2025 · arXiv:2512.13978
  54. Evaluating LLMs with Multiple Problems at once — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
  55. Evaluating Numeracy of Language Models as a Natural Language Inference Task — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  56. Exploring Backward Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  57. FLARE: Faithful Logic-Aided Reasoning and Exploration — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  58. Fast Thinking with Structured Prompts: Enabling LLM Reasoning without Chain-of-Thought Generation — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
  59. First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  60. GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
  61. Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  62. Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
  63. Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
  64. LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  65. LoRACoE: Improving Large Language Model via Composition-based LoRA Expert — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  66. Local Prompt Optimization — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  67. Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  68. Mitigating Demonstration Bias through Global Coevolutionary Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  69. NAT: Enhancing Agent Tuning with Negative Samples — 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)
  70. NeuroAda: Activating Each Neuron''s Potential for Parameter-Efficient Fine-Tuning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  71. Nudging: Inference-time Alignment of LLMs via Guided Decoding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  72. On the Generalization vs Fidelity Paradox in Knowledge Distillation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  73. Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks — 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
  74. Predicting Through Generation: Why Generation Is Better for Prediction — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  75. Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  76. Propulsion: Steering LLM with Tiny Fine-Tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  77. Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  78. RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  80. Self-Harmonized Chain of Thought — 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)
  81. Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  82. Step-by-Step Unmasking for Parameter-Efficient Fine-Tuning of Large Language Models — 2025 · Transactions of the Association for Computational Linguistics
  83. Syntactic Blind Spots: How Misalignment Leads to LLMs'' Mathematical Errors — 2025 · Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)
  84. Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track
  85. Theorem Prover as a Judge for Synthetic Data Generation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  86. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains — 2025 · arXiv:2505.16552
  87. ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  88. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  89. Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  90. Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  91. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models — 2025 · arXiv:2501.09686
  92. UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  93. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. Uncertainty-Aware Contrastive Decoding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  95. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  96. When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  97. ``Well, Keep Thinking'''': Enhancing LLM Reasoning with Adaptive Injection Decoding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  98. A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  99. AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  100. Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

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