{"total":85,"rows":[{"id":"2211.12588","title":"Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks","created":"2022-11-22","cited_by_count":1076,"area":"lr"},{"id":"2209.14610","title":"Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning","created":"2022-09-29","cited_by_count":350,"area":"lr"},{"id":"2206.02336","title":"Making Large Language Models Better Reasoners with Step-Aware Verifier","created":"2022-06-06","cited_by_count":233,"area":"lr"},{"id":"2210.03849","title":"ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering","created":"2022-10-07","cited_by_count":196,"area":"lr"},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2302.12246","title":"Active Prompting with Chain-of-Thought for Large Language Models","created":"2023-02-23","cited_by_count":154,"area":"lr"},{"id":"2412.05237","title":"MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale","created":"2024-12-06","cited_by_count":127,"area":"lr"},{"id":"2212.10535","title":"A Survey of Deep Learning for Mathematical Reasoning","created":"2022-12-20","cited_by_count":124,"area":"lr"},{"id":"2108.06712","title":"HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation","created":"2021-08-15","cited_by_count":118,"area":"lr"},{"id":"2210.06710","title":"Large Language Models are few(1)-shot Table Reasoners","created":"2022-10-13","cited_by_count":116,"area":"lr"},{"id":"2501.05452","title":"ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding","created":"2025-01-09","cited_by_count":83,"area":"lr"},{"id":"2310.00280","title":"Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration","created":"2023-09-30","cited_by_count":70,"area":"lr"},{"id":"2402.17644","title":"Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data","created":"2024-02-27","cited_by_count":63,"area":"lr"},{"id":"2401.06915","title":"DocFinQA: A Long-Context Financial Reasoning Dataset","created":"2024-01-12","cited_by_count":60,"area":"lr"},{"id":"2302.11097","title":"A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram","created":"2023-02-22","cited_by_count":56,"area":"lr"},{"id":"2305.11499","title":"RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought","created":"2023-05-19","cited_by_count":47,"area":"lr"},{"id":"2201.11473","title":"Reasoning Like Program Executors","created":"2022-01-27","cited_by_count":45,"area":"lr"},{"id":"2311.09805","title":"DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents","created":"2023-11-16","cited_by_count":45,"area":"lr"},{"id":"2210.12374","title":"ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples","created":"2022-10-22","cited_by_count":29,"area":"lr"},{"id":"2402.11194","title":"Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering","created":"2024-02-17","cited_by_count":25,"area":"lr"},{"id":"2311.16476","title":"LANS: A Layout-Aware Neural Solver for Plane Geometry Problem","created":"2023-11-25","cited_by_count":24,"area":"lr"},{"id":"2402.17882","title":"BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra","created":"2024-02-27","cited_by_count":24,"area":"lr"},{"id":"2506.10380","title":"TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning","created":"2025-06-12","cited_by_count":24,"area":"lr"},{"id":"2403.02177","title":"ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context","created":"2024-03-04","cited_by_count":23,"area":"lr"},{"id":"2401.13223","title":"TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data","created":"2024-01-24","cited_by_count":19,"area":"lr"},{"id":"2506.04088","title":"Multimodal Tabular Reasoning with Privileged Structured Information","created":"2025-06-04","cited_by_count":15,"area":"lr"},{"id":"2401.15328","title":"Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance","created":"2024-01-27","cited_by_count":14,"area":"lr"},{"id":"2412.04272","title":"PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables","created":"2024-12-05","cited_by_count":14,"area":"lr"},{"id":"2407.07327","title":"Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram","created":"2024-07-10","cited_by_count":13,"area":"lr"},{"id":"2503.17726","title":"A Survey on Mathematical Reasoning and Optimization with Large Language Models","created":"2025-03-22","cited_by_count":12,"area":"lr"},{"id":"2507.07424","title":"Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning","created":"2025-07-10","cited_by_count":11,"area":"lr"},{"id":"2409.11724","title":"TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning","created":"2024-09-18","cited_by_count":10,"area":"lr"},{"id":"2507.02859","title":"Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation","created":"2025-07-03","cited_by_count":9,"area":"lr"},{"id":"2408.12337","title":"Fine-tuning Smaller Language Models for Question Answering over Financial Documents","created":"2024-08-22","cited_by_count":8,"area":"lr"},{"id":"2205.12496","title":"Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts","created":"2022-05-25","cited_by_count":7,"area":"lr"},{"id":"2406.12084","title":"When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives","created":"2024-06-17","cited_by_count":7,"area":"lr"},{"id":"2412.12567","title":"FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning","created":"2024-12-17","cited_by_count":7,"area":"lr"},{"id":"2508.04625","title":"FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging","created":"2025-08-06","cited_by_count":7,"area":"lr"},{"id":"2401.10744","title":"FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models","created":"2024-01-19","cited_by_count":6,"area":"lr"},{"id":"2309.12669","title":"HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering","created":"2023-09-22","cited_by_count":5,"area":"lr"},{"id":"2505.19563","title":"TabularMath: Understanding Math Reasoning over Tables with Large Language Models","created":"2025-05-26","cited_by_count":5,"area":"lr"},{"id":"2505.20816","title":"Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective","created":"2025-05-27","cited_by_count":5,"area":"lr"},{"id":"2508.19813","title":"T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables","created":"2025-08-27","cited_by_count":5,"area":"lr"},{"id":"2603.11339","title":"FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles","created":"2026-03-11","cited_by_count":5,"area":"lr"},{"id":"2404.07017","title":"Improving Language Model Reasoning with Self-motivated Learning","created":"2024-04-10","cited_by_count":4,"area":"lr"},{"id":"2410.01772","title":"DeFine: Decision-Making with Analogical Reasoning over Factor Profiles","created":"2024-10-02","cited_by_count":4,"area":"lr"},{"id":"2601.08134","title":"How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains","created":"2026-01-13","cited_by_count":4,"area":"lr"},{"id":"2603.07316","title":"FinSheet-Bench: From Simple Lookups to Complex Reasoning, Where LLMs Break on Financial Spreadsheets","created":"2026-03-07","cited_by_count":4,"area":"lr"},{"id":"2210.12259","title":"Enhancing Tabular Reasoning with Pattern Exploiting Training","created":"2022-10-21","cited_by_count":3,"area":"lr"},{"id":"2603.24004","title":"Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning","created":"2026-03-25","cited_by_count":3,"area":"lr"},{"id":"2305.14682","title":"TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering","created":"2023-05-24","cited_by_count":2,"area":"lr"},{"id":"2507.18442","title":"AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data","created":"2025-07-24","cited_by_count":2,"area":"lr"},{"id":"2510.18043","title":"CompactPrompt: A Unified Pipeline for Prompt Data Compression in LLM Workflows","created":"2025-10-20","cited_by_count":2,"area":"lr"},{"id":"2511.18177","title":"Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models","created":"2025-11-22","cited_by_count":2,"area":"lr"},{"id":"2603.04663","title":"Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector","created":"2026-03-04","cited_by_count":2,"area":"lr"},{"id":"2411.18915","title":"MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications","created":"2024-11-28","cited_by_count":1,"area":"lr"},{"id":"2506.11246","title":"No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning","created":"2025-06-12","cited_by_count":1,"area":"lr"},{"id":"2506.23463","title":"What to Keep and What to Drop: Adaptive Table Filtering Framework","created":"2025-06-30","cited_by_count":1,"area":"lr"},{"id":"2507.18857","title":"PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning","created":"2025-07-25","cited_by_count":1,"area":"lr"},{"id":"2508.06110","title":"PanelTR: Zero-Shot Table Reasoning Framework Through Multi-Agent Scientific Discussion","created":"2025-08-08","cited_by_count":1,"area":"lr"},{"id":"2512.13323","title":"Error-Driven Prompt Optimization for Arithmetic Reasoning","created":"2025-12-15","cited_by_count":1,"area":"lr"},{"id":"2601.07696","title":"Exploring the Meta-level Reasoning of Large Language Models via a Tool-based Multi-hop Tabular Question Answering Task","created":"2026-01-12","cited_by_count":1,"area":"lr"},{"id":"2601.21157","title":"Bridging the Arithmetic Gap: The Cognitive Complexity Benchmark and Financial-PoT for Robust Financial Reasoning","created":"2026-01-29","cited_by_count":1,"area":"lr"},{"id":"2604.20755","title":"V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization","created":"2026-04-22","cited_by_count":1,"area":"lr"},{"id":"2605.29168","title":"Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correction","created":"2026-05-27","cited_by_count":1,"area":"lr"},{"id":"2606.02113","title":"A Primer in Post-Training Reasoning Data: What We Know About How It Works","created":"2026-06-01","cited_by_count":1,"area":"lr"},{"id":"2405.13044","title":"Case-Based Reasoning Approach for Solving Financial Question Answering","created":"2024-05-18","cited_by_count":0,"area":"lr"},{"id":"2411.16002","title":"Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models","created":"2024-11-24","cited_by_count":0,"area":"lr"},{"id":"2510.01832","title":"SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning","created":"2025-10-02","cited_by_count":0,"area":"lr"},{"id":"2603.08291","title":"A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning","created":"2026-03-09","cited_by_count":0,"area":"lr"},{"id":"2604.03660","title":"TableVision: A Large-Scale Benchmark for Spatially Grounded Reasoning over Complex Hierarchical Tables","created":"2026-04-04","cited_by_count":0,"area":"lr"},{"id":"2605.02290","title":"Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding","created":"2026-05-04","cited_by_count":0,"area":"lr"},{"id":"2606.00683","title":"OCC-RAG: Optimal Cognitive Core for Faithful Question Answering","created":"2026-05-30","cited_by_count":0,"area":"lr"},{"id":"2606.03858","title":"PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models","created":"2026-06-02","cited_by_count":0,"area":"lr"},{"id":"2606.29399","title":"LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents","created":"2026-06-28","cited_by_count":0,"area":"lr"},{"id":"2607.01388","title":"RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation","created":"2026-07-01","cited_by_count":0,"area":"lr"},{"id":"2607.14709","title":"Gold-Guided Programmatic Distillation for Financial Reasoning over Hybrid Tables and Text","created":"2026-07-16","cited_by_count":0,"area":"lr"},{"id":"2607.28661","title":"Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements","created":"2026-07-22","cited_by_count":0,"area":"lr"},{"id":"2608.11047","title":"V-FiLLM: Verified Financial LLM Reasoning Benchmark","created":"2026-08-11","cited_by_count":0,"area":"lr"},{"id":"2608.18534","title":"FinRCA-Bench: Benchmarking Evidence Retrieval and Reasoning for Financial AI Systems","created":"2026-08-19","cited_by_count":0,"area":"lr"},{"id":"2608.18591","title":"Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document Inference","created":"2026-08-19","cited_by_count":0,"area":"lr"},{"id":"2608.27506","title":"Thinking Costs Tokens: When More Structure is Worth the Price","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2608.27919","title":"From Documents to Reasoning: A Validated Synthetic Data Pipeline and Semantic-Aware Fine-Tuning for Financial Numerical Reasoning","created":"2026-08-28","cited_by_count":0,"area":"lr"},{"id":"2609.32660","title":"InterTab: Interleaved Visual-Structure Alignment for Multi-Modal Table Reasoning","created":"2026-09-26","cited_by_count":0,"area":"lr"},{"id":"2610.17937","title":"MERIT: Multimodal Evidence Reasoning over Image Tables","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}