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GSM8K

Papers

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Showing 351–400 of 439 papers

TitleStatusHype
VarBench: Robust Language Model Benchmarking Through Dynamic Variable PerturbationCode0
PORT: Preference Optimization on Reasoning Traces—0
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model EvaluationCode0
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
Can LLMs Reason in the Wild with Programs?Code0
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank AdaptationCode0
Uncertainty Aware Learning for Language Model Alignment—0
Does your data spark joy? Performance gains from domain upsampling at the end of training—0
Improve Mathematical Reasoning in Language Models by Automated Process Supervision—0
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM DeploymentCode0
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths—0
Arithmetic Reasoning with LLM: Prolog Generation & Permutation—0
Multi-Reference Preference Optimization for Large Language Models—0
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time—0
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving—0
Meaning-Typed Programming: Language Abstraction and Runtime for Model-Integrated Applications—0
MathDivide: Improved mathematical reasoning by large language models—0
MAmmoTH2: Scaling Instructions from the Web—0
A Careful Examination of Large Language Model Performance on Grade School Arithmetic—0
Iterative Reasoning Preference Optimization—0
PARAMANU-GANITA: Language Model with Mathematical Capabilities—0
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?—0
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models—0
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning—0
Automatic Prompt Selection for Large Language Models—0
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression—0
Supervisory Prompt Training—0
Self-Consistency Boosts Calibration for Math Reasoning—0
Prompt Selection and Augmentation for Few Examples Code Generation in Large Language Model and its Application in Robotics Control—0
MathScale: Scaling Instruction Tuning for Mathematical ReasoningCode0
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning—0
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs—0
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models—0
Fine-Grained Self-Endorsement Improves Factuality and Reasoning—0
SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning—0
Can Separators Improve Chain-of-Thought Prompting?—0
Orca-Math: Unlocking the potential of SLMs in Grade School Math—0
Premise Order Matters in Reasoning with Large Language Models—0
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements—0
The Unreasonable Effectiveness of Eccentric Automatic Prompts—0
In-Context Principle Learning from MistakesCode0
RevOrder: A Novel Method for Enhanced Arithmetic in Language Models—0
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision—0
YODA: Teacher-Student Progressive Learning for Language Models—0
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination—0
Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities—0
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting—0
TinyGSM: achieving >80% on GSM8k with small language models—0
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning—0
Training Chain-of-Thought via Latent-Variable Inference—0
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Benchmark Results

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