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GSM8K

Papers

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Showing 201–250 of 439 papers

TitleStatusHype
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsCode2
Dialectical Behavior Therapy Approach to LLM Prompting—0
Think Beyond Size: Adaptive Prompting for More Effective Reasoning—0
Subtle Errors Matter: Preference Learning via Error-injected Self-editing—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning—0
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths—0
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsCode1
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification—0
LLM-TOPLA: Efficient LLM Ensemble by Maximising DiversityCode0
BrainTransformers: SNN-LLM—0
Unlocking Structured Thinking in Language Models with Cognitive Prompting—0
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning—0
The Role of Deductive and Inductive Reasoning in Large Language Models—0
Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation—0
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation—0
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit AssignmentCode2
Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-ProblemsCode0
Instance-adaptive Zero-shot Chain-of-Thought Prompting—0
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning—0
LLaMa-SciQ: An Educational Chatbot for Answering Science MCQ—0
Uncovering Latent Chain of Thought Vectors in Language Models—0
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning TasksCode1
ControlMath: Controllable Data Generation Promotes Math Generalist Models—0
Balancing LoRA Performance and Efficiency with Simple Shard SharingCode2
LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningCode0
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement—0
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator AgentCode1
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks—0
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning—0
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation—0
Prompt Baking—0
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal ModelsCode2
Building Math Agents with Multi-Turn Iterative Preference Learning—0
S^3c-Math: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners—0
Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems—0
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic—0
SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models—0
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language ModelsCode1
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs—0
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models—0
Mutual Reasoning Makes Smaller LLMs Stronger Problem-SolversCode4
Mathfish: Evaluating Language Model Math Reasoning via Grounding in Educational CurriculaCode1
Large Language Monkeys: Scaling Inference Compute with Repeated SamplingCode3
Cool-Fusion: Fuse Large Language Models without Training—0
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning ProcessCode2
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost—0
Learning Goal-Conditioned Representations for Language Reward ModelsCode1
Weak-to-Strong ReasoningCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAccuracy98.1—Unverified
2Orange-mini0-shot MRR98—Unverified