Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization»
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- A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- 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)
- 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)
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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- Evaluating LLMs with Multiple Problems at once — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
- Evaluating Numeracy of Language Models as a Natural Language Inference Task — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- 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
- Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
- Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
- Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- On the Generalization vs Fidelity Paradox in Knowledge Distillation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- 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
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- Propulsion: Steering LLM with Tiny Fine-Tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- 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)
- 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)
- 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
- Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models — 2025 · arXiv:2501.09686
- UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- 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)
- 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
- 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
- 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)
- Bridging the Gap between Different Vocabularies for LLM Ensemble — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning — 2024 · arXiv:2401.10480
- Explicit Memory Learning with Expectation Maximization — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Exploring Reversal Mathematical Reasoning Ability for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Forward-Backward Reasoning in Large Language Models for Mathematical Verification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- 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)
- 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)
- Interpreting and Improving Large Language Models in Arithmetic Calculation — 2024 · arXiv:2409.01659
- 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
- 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)
- 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)
- Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving — 2024 · arXiv:2405.12205
- 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)
- 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
- Orca-Math: Unlocking the potential of SLMs in Grade School Math — 2024 · arXiv:2402.14830
- Personality Alignment of Large Language Models — 2024 · arXiv:2408.11779
- Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Re-Reading Improves Reasoning in Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- ReFT: Representation Finetuning for Language Models — 2024 · arXiv:2404.03592
- 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)
- SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models — 2024 · arXiv:2401.07950
- 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
- Sparse Matrix in Large Language Model Fine-tuning — 2024 · arXiv:2405.15525
- 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)
- Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models — 2024 · arXiv:2402.05376
- 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)
- Batch Prompting: Efficient Inference with Large Language Model APIs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
- Better Zero-Shot Reasoning with Role-Play Prompting — 2023 · arXiv:2308.07702
- Better Zero-Shot Reasoning with Self-Adaptive Prompting — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Chain of Thought Prompting Elicits Knowledge Augmentation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration — 2023 · arXiv:2310.00280
- Deductive Verification of Chain-of-Thought Reasoning — 2023 · arXiv:2306.03872
- Defining a New NLP Playground — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Distilling Reasoning Capabilities into Smaller Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate — 2023 · arXiv:2305.19118
- Evaluating Large Language Models: A Comprehensive Survey — 2023 · arXiv:2310.19736
- 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
- Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models — 2023 · arXiv:2310.06692
- How Many Demonstrations Do You Need for In-context Learning? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Intégration du raisonnement numérique dans les modèles de langue : État de l''art et direction de recherche — 2023 · Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver? — 2023 · arXiv:2302.06476
- It Ain''t Over: A Multi-aspect Diverse Math Word Problem Dataset — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Language Models can Solve Computer Tasks — 2023 · arXiv:2303.17491
- Large Language Models are Better Reasoners with Self-Verification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Let''s reward step by step: Step-Level reward model as the Navigators for Reasoning — 2023 · arXiv:2310.10080
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning — 2023 · arXiv:2309.05653
- Math Word Problem Solving by Generating Linguistic Variants of Problem Statements — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2023 · arXiv:2309.15402
- Orca 2: Teaching Small Language Models How to Reason — 2023 · arXiv:2311.11045
- Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Progressive-Hint Prompting Improves Reasoning in Large Language Models — 2023 · arXiv:2304.09797
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution — 2023 · arXiv:2309.16797
- R$^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Tab-CoT: Zero-shot Tabular Chain of Thought — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- TheoremQA: A Theorem-driven Question Answering Dataset — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Through the Lens of Core Competency: Survey on Evaluation of Large Language Models — 2023 · arXiv:2308.07902
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