SOTAVerified

GSM8K

Papers

Showing 126150 of 439 papers

TitleStatusHype
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal DictionariesCode1
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsCode1
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator AgentCode1
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context LearningCode1
Rewriting Pre-Training Data Boosts LLM Performance in Math and CodeCode1
Learning From Mistakes Makes LLM Better ReasonerCode1
Learning Goal-Conditioned Representations for Language Reward ModelsCode1
SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model MergingCode1
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language ModelsCode1
Large Language Models as OptimizersCode1
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsCode1
GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt OptimizersCode1
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning CapabilityCode1
Large Language Models are Contrastive ReasonersCode1
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningCode1
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive PrinciplesCode1
Large (Vision) Language Models are Unsupervised In-Context LearnersCode1
Matrix Information Theory for Self-Supervised LearningCode1
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward PassesCode1
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language ModelsCode1
IRanker: Towards Ranking Foundation ModelCode1
Language Models as Science TutorsCode1
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingCode1
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based SamplingCode1
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt TemplatesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAccuracy98.1Unverified
2Orange-mini0-shot MRR98Unverified