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Mathematical Reasoning
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Towards Functional Correctness of Code Models with Selective Generation
VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks
A Survey of Deep Learning for Geometry Problem Solving
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
Integrating External Tools with Large Language Models to Improve Accuracy
Agentic-R1: Distilled Dual-Strategy Reasoning
CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs
Skywork-R1V3 Technical Report
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents
Large Language Models Don't Make Sense of Word Problems. A Scoping Review from a Mathematics Education Perspective
Layer Importance for Mathematical Reasoning is Forged in Pre-Training and Invariant after Post-Training
Inside you are many wolves: Using cognitive models to interpret value trade-offs in LLMs
Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
A Technical Study into Small Reasoning Language Models
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment
Eliciting Reasoning in Language Models with Cognitive Tools
Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection Study
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models
Slimming Down LLMs Without Losing Their Minds
Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning
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