Mathematical Reasoning
10개 벤치마크 · 논문 1,953편 · 이 태스크의 논문 보기 →
Benchmarks
AIME24
FrontierMath
Lila (IID)
Lila (OOD)
PGPS9K
AMC23
GeoQA
MATH500
UniGeo
UniGeo (PRV)
Most implemented
LoRA: Low-Rank Adaptation of Large Language Models
Analysing Mathematical Reasoning Abilities of Neural Models
Motif 3: Technical Report
Qwen2.5 Technical Report
Mistral 7B
Training Verifiers to Solve Math Word Problems
Papers
Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability
On-Policy Distillation (OPD) trains a student on its own generations using teacher feedback. With different tokenizers, comparing teacher and student predictions requires alignment at both sequence and vocabulary levels.…
Mathematical ReasoningCode GenerationTRIAGE: Direction-Aware Mismatch Stabilization of Native NVFP4 Reinforcement Learning
Low-precision execution can substantially accelerate reinforcement learning (RL) for large language models, but discrepancies between learner and sampler execution can destabilize policy optimization. In this paper, we c…
Reinforcement LearningMathematical ReasoningQuestioning the Questions: Sustaining Self-Evolution in Reasoning Models
Self-evolving reasoning models learn from their own generated questions, yet repeated self-training can lead to performance collapse. In this paper, we investigate why performance deteriorates over successive rounds and …
Mathematical ReasoningCode GenerationThe Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models
While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. …
Mathematical ReasoningFinetuning with Sampling: SFT Learns Better Than You Think
Introducing new capabilities to frontier models has long been the goal of posttraining, which predominantly employs supervised finetuning (SFT) and reinforcement learning (RL) to this end. Conventional wisdom dictates th…
Mathematical ReasoningReinforcement LearningCARM: Cancellation-Aware Response Masking for LLM Reinforcement Learning
Recent years have witnessed the rapid adoption of reinforcement learning (RL) in large language model (LLM) post-training, with substantial gains in mathematical reasoning and code generation. In practical systems, howev…
Mathematical ReasoningReinforcement LearningCode Generation