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GSM8K

Papers

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Showing 276–300 of 439 papers

TitleStatusHype
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
PORT: Preference Optimization on Reasoning Traces—0
Position-Aware Depth Decay Decoding (D^3): Boosting Large Language Model Inference Efficiency—0
Predicting Emergent Capabilities by Finetuning—0
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning—0
Premise Order Matters in Reasoning with Large Language Models—0
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models—0
Evaluation of LLMs for mathematical problem solving—0
Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation—0
Prompt Baking—0
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search—0
Prompt Engineering a Prompt Engineer—0
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression—0
Prompt Selection and Augmentation for Few Examples Code Generation in Large Language Model and its Application in Robotics Control—0
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
Quasi-random Multi-Sample Inference for Large Language Models—0
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2—0
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks—0
Question Tokens Deserve More Attention: Enhancing Large Language Models without Training through Step-by-Step Reading and Question Attention Recalibration—0
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth—0
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement—0
Efficient Data Selection at Scale via Influence Distillation—0
Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models—0
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought—0
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Benchmark Results

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