SOTAVerified

Arithmetic Reasoning

Papers

Showing 51100 of 175 papers

TitleStatusHype
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-TuningCode1
Solving Math Word Problems via Cooperative Reasoning induced Language ModelsCode1
Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided InterventionsCode1
Bridging the Gap between Different Vocabularies for LLM EnsembleCode1
An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMsCode1
Gemini: A Family of Highly Capable Multimodal ModelsCode1
Generative Parameter-Efficient Fine-TuningCode1
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMsCode1
HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM SystemsCode1
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive PrinciplesCode1
Token-Scaled Logit Distillation for Ternary Weight Generative Language ModelsCode1
Toward Adaptive Reasoning in Large Language Models with Thought RollbackCode1
Toward Self-Improvement of LLMs via Imagination, Searching, and CriticizingCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningCode1
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative DataCode1
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation AnalysisCode1
UL2: Unifying Language Learning ParadigmsCode1
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningCode1
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization FailureCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Large Language Models Can Be Easily Distracted by Irrelevant ContextCode1
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsCode1
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsCode1
Learning to Reason for Text Generation from Scientific TablesCode1
LEVER: Learning to Verify Language-to-Code Generation with ExecutionCode1
MathPrompter: Mathematical Reasoning using Large Language ModelsCode1
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsCode1
MoT: Memory-of-Thought Enables ChatGPT to Self-ImproveCode1
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural NetworksCode1
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning ProofsCode1
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingCode1
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RLCode1
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language ModelsCode1
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and DistillationCode1
Automatic Model Selection with Large Language Models for ReasoningCode1
OpenCQA: Open-ended Question Answering with ChartsCode1
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic ReasoningCode0
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningCode0
DiaBlo: Diagonal Blocks Are Sufficient For FinetuningCode0
SBoRA: Low-Rank Adaptation with Regional Weight UpdatesCode0
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic SystemsCode0
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in ArithmeticCode0
CodeT5+: Open Code Large Language Models for Code Understanding and GenerationCode0
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and ComposabilityCode0
OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent CollaborationCode0
Learning Non-linguistic Skills without Sacrificing Linguistic ProficiencyCode0
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact VerificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Claude 3.5 Sonnet (HPT)Accuracy97.72Unverified
2DUP prompt upon GPT-4Accuracy97.1Unverified
3Qwen2-Math-72B-Instruct (greedy)Accuracy96.7Unverified
4SFT-Mistral-7B (Metamath, OVM, Smart Ensemble)Accuracy96.4Unverified
5OpenMath2-Llama3.1-70B (majority@256)Accuracy96Unverified
6Jiutian-大模型Accuracy95.2Unverified
7DAMOMath-7B(MetaMath, OVM, BS, Ensemble)Accuracy95.1Unverified
8Claude 3 Opus (0-shot chain-of-thought)Accuracy95Unverified
9OpenMath2-Llama3.1-70BAccuracy94.9Unverified
10GPT-4 (Teaching-Inspired)Accuracy94.8Unverified
#ModelMetricClaimedVerifiedStatus
1Text-davinci-002 (175B)(zero-shot-cot)Accuracy78.7Unverified
2Text-davinci-002 (175B) (zero-shot)Accuracy17.7Unverified
#ModelMetricClaimedVerifiedStatus
1Tree of Thoughts (b=5)Success0.74Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4 (Teaching-Inspired)Accuracy92.2Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4 (Teaching-Inspired)Accuracy89.2Unverified