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GSM8K

Papers

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Showing 51–100 of 439 papers

TitleStatusHype
Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language ModelsCode2
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningCode2
Synthetic Data RL: Task Definition Is All You NeedCode2
How to Correctly do Semantic Backpropagation on Language-based Agentic SystemsCode2
Meta Prompting for AI SystemsCode2
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit AssignmentCode2
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversCode2
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningCode2
SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in ChineseCode2
Natural Language Fine-TuningCode2
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsCode2
SIFT: Grounding LLM Reasoning in Contexts via StickersCode2
Weak-to-Strong ReasoningCode2
Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsCode2
Exploring the Compositional Deficiency of Large Language Models in Mathematical ReasoningCode2
any4: Learned 4-bit Numeric Representation for LLMsCode2
Balancing LoRA Performance and Efficiency with Simple Shard SharingCode2
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language ModelsCode2
SEAL: Steerable Reasoning Calibration of Large Language Models for FreeCode2
Progressive-Hint Prompting Improves Reasoning in Large Language ModelsCode2
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningCode2
LLM2LLM: Boosting LLMs with Novel Iterative Data EnhancementCode2
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning ModelsCode2
Reformatted AlignmentCode2
ProcessBench: Identifying Process Errors in Mathematical ReasoningCode2
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function OptimizationCode2
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of ParametersCode2
CoT-Valve: Length-Compressible Chain-of-Thought TuningCode2
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning ProcessCode2
Preference Optimization for Reasoning with Pseudo FeedbackCode2
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent SpaceCode2
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsCode1
Learning Goal-Conditioned Representations for Language Reward ModelsCode1
Learning From Mistakes Makes LLM Better ReasonerCode1
OVM, Outcome-supervised Value Models for Planning in Mathematical ReasoningCode1
Automatic Model Selection with Large Language Models for ReasoningCode1
Large (Vision) Language Models are Unsupervised In-Context LearnersCode1
CommVQ: Commutative Vector Quantization for KV Cache CompressionCode1
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal DictionariesCode1
Over-Reasoning and Redundant Calculation of Large Language ModelsCode1
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningCode1
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning TasksCode1
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning ProofsCode1
Language Models as Science TutorsCode1
Large Language Models as OptimizersCode1
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word ProblemsCode1
Large Language Models are Contrastive ReasonersCode1
AskIt: Unified Programming Interface for Programming with Large Language ModelsCode1
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Benchmark Results

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