Who cites «Are NLP Models really able to Solve Simple Math Word Problems?» · page 2

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

Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery — 2025 · arXiv:2502.15224
Automatic Mathematic In-Context Example Generation for LLM Using Multi-Modal Consistency — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
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
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
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom''s-Taxonomy-Inspired Prompts — 2025 · Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)
Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning — 2025 · arXiv:2505.16950
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Can You Trick the Grader? Adversarial Persuasion of LLM Judges — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
CoinMath: Harnessing the Power of Coding Instruction for Math LLM — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
DART: Distilling Autoregressive Reasoning to Silent Thought — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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)
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms — 2025 · Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)
Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Do Large Language Model Benchmarks Test Reliability? — 2025 · arXiv:2502.03461
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
Efficient Tool Use with Chain-of-Abstraction Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models — 2025 · arXiv:2501.02599
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning — 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)
Entropy-based Exploration Conduction for Multi-step Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Evaluating LLMs with Multiple Problems at once — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Evaluating Numeracy of Language Models as a Natural Language Inference Task — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering — 2025 · arXiv:2502.10338
Exploring Backward Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Exposing the Achilles'' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
FLARE: Faithful Logic-Aided Reasoning and Exploration — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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
Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
From A and B to A+B: Can Large Language Models Solve Compositional Math Problems? — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Improving LLM Reasoning through Interpretable Role-Playing Steering — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Improving LLMs' Generalized Reasoning Abilities by Graph Problems — 2025 · arXiv:2507.17168
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction — 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)
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked? — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems — 2025 · arXiv:2510.08615
K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning — 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)
Kairos: Low-latency Multi-Agent Serving with Shared LLMs and Excessive Loads in the Public Cloud — 2025 · arXiv:2508.06948
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs — 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)
Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Let''s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
LogiNumSynth: Synthesizing Joint Logical-Numerical Reasoning Problems for Language Models — 2025 · arXiv:2510.11031
Logits-Based Finetuning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
MATH-Perturb: Benchmarking LLMs'' Math Reasoning Abilities against Hard Perturbations — 2025 · arXiv:2502.06453
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models — 2025 · arXiv:2512.18841
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
MathBode: Measuring the Stability of LLM Reasoning using Frequency Response — 2025 · arXiv:2509.23143
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges — 2025 · arXiv:2502.08680
MegaMath: Pushing the Limits of Open Math Corpora — 2025 · arXiv:2504.02807
Meta-Reasoning Improves Tool Use in Large Language Models — 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
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling — 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)
Monte Carlo Temperature: a robust sampling strategy for LLM''s uncertainty quantification methods — 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs — 2025 · arXiv:2507.17476
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)
NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Natural Language Reasoning in Large Language Models: Analysis and Evaluation — 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
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)
On the Generalization vs Fidelity Paradox in Knowledge Distillation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing