{"total":30,"rows":[{"id":"2410.05229","title":"GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models","created":"2024-10-07","cited_by_count":550,"area":"lr"},{"id":"2402.00157","title":"Large Language Models for Mathematical Reasoning: Progresses and Challenges","created":"2024-01-31","cited_by_count":284,"area":"lr"},{"id":"2212.00193","title":"Distilling Reasoning Capabilities into Smaller Language Models","created":"2022-12-01","cited_by_count":158,"area":"lr"},{"id":"2411.00836","title":"DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models","created":"2024-10-29","cited_by_count":146,"area":"lr"},{"id":"2312.04350","title":"CLadder: Assessing Causal Reasoning in Language Models","created":"2023-12-07","cited_by_count":107,"area":"lr"},{"id":"2305.15054","title":"A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis","created":"2023-05-24","cited_by_count":89,"area":"lr"},{"id":"2404.01869","title":"Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey","created":"2024-04-02","cited_by_count":83,"area":"lr"},{"id":"2305.19555","title":"Large Language Models Are Not Strong Abstract Reasoners","created":"2023-05-31","cited_by_count":53,"area":"lr"},{"id":"2407.08733","title":"Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist","created":"2024-07-11","cited_by_count":48,"area":"lr"},{"id":"2502.18001","title":"Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning","created":"2025-02-25","cited_by_count":40,"area":"lr"},{"id":"2506.21215","title":"Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?","created":"2025-06-26","cited_by_count":38,"area":"lr"},{"id":"2409.09822","title":"Causal Inference with Large Language Model: A Survey","created":"2024-09-15","cited_by_count":32,"area":"lr"},{"id":"2403.02738","title":"Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment","created":"2024-03-05","cited_by_count":30,"area":"lr"},{"id":"2402.11452","title":"AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition","created":"2024-02-18","cited_by_count":24,"area":"lr"},{"id":"2502.08680","title":"Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges","created":"2025-02-12","cited_by_count":24,"area":"lr"},{"id":"2305.12563","title":"A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers","created":"2023-05-21","cited_by_count":15,"area":"lr"},{"id":"2304.01665","title":"Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks","created":"2023-04-04","cited_by_count":12,"area":"lr"},{"id":"2505.13792","title":"Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation","created":"2025-05-20","cited_by_count":8,"area":"lr"},{"id":"2508.08833","title":"An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems","created":"2025-08-12","cited_by_count":8,"area":"lr"},{"id":"2404.11717","title":"How often are errors in natural language reasoning due to paraphrastic variability?","created":"2024-04-17","cited_by_count":5,"area":"lr"},{"id":"2502.20684","title":"JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation","created":"2025-02-28","cited_by_count":5,"area":"lr"},{"id":"2308.11914","title":"Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs","created":"2023-08-23","cited_by_count":4,"area":"lr"},{"id":"2404.18384","title":"Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions","created":"2024-04-29","cited_by_count":3,"area":"lr"},{"id":"2307.09998","title":"Controlling Equational Reasoning in Large Language Models with Prompt Interventions","created":"2023-07-19","cited_by_count":1,"area":"lr"},{"id":"2510.06430","title":"MathRobust-LV: Evaluation of Large Language Models' Robustness to Linguistic Variations in Mathematical Reasoning","created":"2025-10-07","cited_by_count":1,"area":"lr"},{"id":"2604.01639","title":"Fragile Reasoning: A Mechanistic Analysis of LLM Sensitivity to Meaning-Preserving Perturbations","created":"2026-04-02","cited_by_count":1,"area":"lr"},{"id":"2511.14813","title":"DEVAL: A Framework for Evaluating and Improving the Derivation Capability of Large Language Models","created":"2025-11-18","cited_by_count":0,"area":"lr"},{"id":"2604.15842","title":"Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms","created":"2026-04-17","cited_by_count":0,"area":"lr"},{"id":"2607.13069","title":"Interventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate Substitution","created":"2026-07-11","cited_by_count":0,"area":"lr"},{"id":"2609.21509","title":"The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models","created":"2026-09-18","cited_by_count":0,"area":"lr"}],"next_cursor":null}