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Who cites «Solving General Arithmetic Word Problems» · page 2

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

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  1. Adversarial Math Word Problem Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  2. Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  3. Aligning Large and Small Language Models via Chain-of-Thought Reasoning — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  5. Ask Again, Then Fail: Large Language Models'' Vacillations in Judgment — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  7. AuRoRA: A One-for-all Platform for Augmented Reasoning and Refining with Task-Adaptive Chain-of-Thought Prompting — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  8. Better Zero-Shot Reasoning with Role-Play Prompting — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  9. Boosting Language Models Reasoning with Chain-of-Knowledge Prompting — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Can Language Models Learn Embeddings of Propositional Logic Assertions? — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  11. Chain-of-Thought Reasoning Without Prompting — 2024 · arXiv:2402.10200
  12. ChatGPT Rates Natural Language Explanation Quality like Humans: But on Which Scales? — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  13. ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  14. Cutting Through the Noise: Boosting LLM Performance on Math Word Problems — our card · 2024 · arXiv:2406.15444
  15. DDPrompt: Differential Diversity Prompting in Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  16. Don''t Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization — 2024 · arXiv:2403.18120
  17. EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  18. EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  19. Empowering Multi-step Reasoning across Languages via Program-Aided Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  20. Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning — 2024 · arXiv:2401.10480
  21. Explicit Memory Learning with Expectation Maximization — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  22. Exploring Reversal Mathematical Reasoning Ability for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  23. Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  24. FinanceMATH: Knowledge-Intensive Math Reasoning in Finance Domains — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. Forward-Backward Reasoning in Large Language Models for Mathematical Verification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  26. From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  27. GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  28. Improving Language Model Reasoning with Self-motivated Learning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  29. Instructing Large Language Models to Identify and Ignore Irrelevant Conditions — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  30. Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  31. LLM can Achieve Self-Regulation via Hyperparameter Aware Generation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  32. Large Language Models for Mathematical Reasoning: Progresses and Challenges — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  33. Learning to Compress Prompt in Natural Language Formats — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  34. LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  35. LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  36. Making Language Models Better Tool Learners with Execution Feedback — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  37. MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  38. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? — 2024 · arXiv:2403.14624
  39. Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  40. Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  41. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving — 2024 · arXiv:2405.12205
  42. MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  43. Multi-Step Reasoning with Large Language Models, a Survey — 2024 · arXiv:2407.11511
  44. Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers — 2024 · arXiv:2408.06195
  45. NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  46. Nash CoT: Multi-Path Inference with Preference Equilibrium — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  47. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning — 2024 · arXiv:2410.12608
  49. Orca-Math: Unlocking the potential of SLMs in Grade School Math — 2024 · arXiv:2402.14830
  50. PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  51. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  52. Personality Alignment of Large Language Models — 2024 · arXiv:2408.11779
  53. Prompt Engineering 101 Prompt Engineering Guidelines from a Linguistic Perspective — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  54. Prompt Engineering a Prompt Engineer — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  55. QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  56. Re-Reading Improves Reasoning in Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  57. ReFT: Representation Finetuning for Language Models — 2024 · arXiv:2404.03592
  58. Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  60. STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  61. SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models — 2024 · arXiv:2401.07950
  62. Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  63. Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns? — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  65. Sparse Matrix in Large Language Model Fine-tuning — 2024 · arXiv:2405.15525
  66. Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. The Impact of Reasoning Step Length on Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  68. Towards A Unified View of Answer Calibration for Multi-Step Reasoning — 2024 · Proceedings of the 2nd Workshop on Natural Language Reasoning and Structured Explanations (@ACL 2024)
  69. Towards Human-aligned Evaluation for Linear Programming Word Problems — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  70. TravelPlanner: A Benchmark for Real-World Planning with Language Agents — 2024 · arXiv:2402.01622
  71. Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  72. Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  73. Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models — 2024 · arXiv:2402.05376
  74. 面向小规模大语言模型推理优化的推理路径排序方法(A Reasoning Paths Ranking Method for Reasoning Optimization of Small-scale Large Language Models) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  75. A Comprehensive Overview of Large Language Models — 2023 · arXiv:2307.06435
  76. A Survey of Deep Learning for Mathematical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. A Survey of Large Language Models — 2023 · arXiv:2303.18223 · Frontiers of Computer Science, Volume 20, Issue 12, Article 2012627 (2026)
  78. ARB: Advanced Reasoning Benchmark for Large Language Models — 2023 · arXiv:2307.13692
  79. Agent Instructs Large Language Models to be General Zero-Shot Reasoners — 2023 · arXiv:2310.03710
  80. Analyzing ChatGPT''s Mathematical Deficiencies: Insights and Contributions — 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
  81. Are Language Models Worse than Humans at Following Prompts? It's Complicated — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  82. Auto-Regressive Next-Token Predictors are Universal Learners — 2023 · arXiv:2309.06979
  83. Batch Prompting: Efficient Inference with Large Language Model APIs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
  84. Better Zero-Shot Reasoning with Role-Play Prompting — 2023 · arXiv:2308.07702
  85. Better Zero-Shot Reasoning with Self-Adaptive Prompting — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  86. Chain of Thought Prompting Elicits Knowledge Augmentation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  87. ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  88. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration — 2023 · arXiv:2310.00280
  89. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning — 2023 · arXiv:2310.02954
  90. Decomposed Prompting: A Modular Approach for Solving Complex Tasks — 2023 · ICLR 2023 (arXiv 2210.02406)
  91. Deductive Verification of Chain-of-Thought Reasoning — 2023 · arXiv:2306.03872
  92. Democratizing Reasoning Ability: Tailored Learning from Large Language Model — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  93. DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  94. DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks — 2023 · arXiv:2309.17167
  95. Dynamic Voting for Efficient Reasoning in Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  96. Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate — 2023 · arXiv:2305.19118
  97. Evaluating Large Language Models: A Comprehensive Survey — 2023 · arXiv:2310.19736
  98. Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  99. FERMAT: An Alternative to Accuracy for Numerical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  100. Faithful Chain-of-Thought Reasoning — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

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