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
- A Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math Reasoning — 2026 · arXiv:2609.17804
- AI Research Preference Models — 2026 · arXiv:2608.13940
- AdaMame: A Training Recipe for Adaptive Multilingual Reasoning — 2026 · arXiv:2606.15080
- 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)
- Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- Benchmarking Mathematical Reasoning in a Low-Resource Language: Structured Prompting and Evaluation in Basque — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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)
- 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)
- C$^3$D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- 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)
- CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models — 2026 · arXiv:2605.28292
- CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation — 2026 · arXiv:2606.05988
- DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- 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
- EDUMATH: Generating Standards-aligned Educational Math Word Problems — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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)
- Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Enhancing Multilingual Reasoning via Steerable Model Merging — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- Failures are Treasures: Constructing a Pedagogical Bridge for Agentic Strategy Distillation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- 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)
- Finding the Cracks: Improving LLMs Reasoning with Paraphrastic Probing and Consistency Verification — 2026 · arXiv:2602.11361
- 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)
- FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- From Pseudo-Balancing to True Specialization: Memory-Aware Routing for Mixture-of-Experts — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- From ``Aha Moments'''' to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Fusion Training for Mathematical Generalization in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- Future Confidence Distillation in Large Language Models — 2026 · arXiv:2607.07626
- G-LoRA: Global-Local Decoupled Low-Rank Adaptation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- 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
- GSM-Noise: Exploring and Enhancing Large Language Models'' Reasoning under Noisy Inputs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models — 2026 · arXiv:2607.13248
- Graph-GRPO: Stabilizing Multi-Agent Topology Learning via Group Relative Policy Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- HIPO: A Hierarchical Prompt Optimization Framework with Task Awareness and Fine-Grained Debugging — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning — 2026 · arXiv:2602.06584
- Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Invariant Reasoning Directions in Latent Trajectories of Language Models — 2026 · arXiv:2606.29164
- KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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)
- 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)
- MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation — 2026 · arXiv:2601.21225
- MIND: From Passive Mimicry to Active Reasoning through Capability-Aware Multi-Perspective CoT Distillation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MUCH: A Multilingual Claim Hallucination Benchmark — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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)
- Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- Multi-LLM Collaborative Search for Complex Problem Solving — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- On the Rejection Criterion for Proxy-based Test-time Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion Decoding — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- PiCSAR: Probabilistic Confidence Selection and Ranking for Reasoning Chains — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Pin Once, Swap Light: Subspace-Aligned Centroid-Residual Training for Efficient Ultra-LoRA Serving — 2026 · arXiv:2608.03579
- Policy-Guided Stepwise Action Planning for Controllable LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Punctuation-Steered Representation Fine-Tuning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-Judge — 2026 · arXiv:2604.02621
- 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)
- Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- SMART: Evaluating LLMs'' Mathematical Reasoning via a Human Cognitive Process-Inspired Benchmark — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Solving Every Step Is Not Enough: Milestone Oracles Reveal a Composition Gap in LLM Math Reasoning — 2026 · arXiv:2609.32235
- 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
- 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)
- TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models — 2026 · arXiv:2605.22870
- 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)
- 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
- Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics — 2025 · arXiv:2502.14333
- A Survey on Large Language Models for Mathematical Reasoning — 2025 · arXiv:2506.08446
- 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)
- 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)
- 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
- 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
- AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning — 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
- 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)
- Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models — 2025 · arXiv:2510.10252