Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization»

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

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
G-LoRA: Global-Local Decoupled Low-Rank Adaptation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
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
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
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)
Math-DB: A Discourse Framework for Mathematical Word Problems to Enhance LLM Reasoning — 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
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)
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
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
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)
TabularMath: Understanding Math Reasoning over Tables with Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics — 2025 · arXiv:2502.14333
A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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)
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)
AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation — 2025 · arXiv:2510.19361
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)
BenNumEval: A Benchmark to Assess LLMs'' Numerical Reasoning Capabilities in Bengali — 2025 · Findings of the Association for Computational Linguistics: ACL 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)
CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
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)
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms — 2025 · Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)
Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
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
Exploring Backward Reasoning in Large Language Models — 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
Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Mitigating Demonstration Bias through Global Coevolutionary Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
NeuroAda: Activating Each Neuron''s Potential for Parameter-Efficient Fine-Tuning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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
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)
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
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
Step-by-Step Unmasking for Parameter-Efficient Fine-Tuning of Large Language Models — 2025 · Transactions of the Association for Computational Linguistics
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
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)
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
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)
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
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)
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving — 2024 · arXiv:2404.03938 · SN Computer Science, 5, 506 (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
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
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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
Nash CoT: Multi-Path Inference with Preference Equilibrium — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning — 2024 · arXiv:2410.12608
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)
RevOrder: A Novel Method for Enhanced Arithmetic in Language Models — 2024 · arXiv:2402.03822
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
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
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)
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