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TitleStatusHype
Large (Vision) Language Models are Unsupervised In-Context LearnersCode1
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis ModelsCode1
Explaining Datasets in Words: Statistical Models with Natural Language ParametersCode1
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem UnderstandingCode1
Improving the Validity of Automatically Generated Feedback via Reinforcement LearningCode1
From GAN to WGANCode1
EXAONE Deep: Reasoning Enhanced Language ModelsCode1
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
Injecting Numerical Reasoning Skills into Language ModelsCode1
Language Models as Science TutorsCode1
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof DataCode1
Self-Training Elicits Concise Reasoning in Large Language ModelsCode1
Examining the Robustness of Large Language Models across Language Complexity—0
Examining the Behavior of LLM Architectures Within the Framework of Standardized National Exams in Brazil—0
Can Stories Help LLMs Reason? Curating Information Space Through Narrative—0
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization—0
Can LLMs understand Math? -- Exploring the Pitfalls in Mathematical Reasoning—0
A range characterization of the single-quadrant ADRT—0
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages—0
Illinois Math Solver: Math Reasoning on the Web—0
AI4Math: A Native Spanish Benchmark for University-Level Mathematical Reasoning in Large Language Models—0
Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning—0
Improve Mathematical Reasoning in Language Models by Automated Process Supervision—0
Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning—0
Evaluating Robustness of Reward Models for Mathematical Reasoning—0
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation—0
A Graph-Based Synthetic Data Pipeline for Scaling High-Quality Reasoning Instructions—0
HyperCLOVA X Technical Report—0
Evaluating Grounded Reasoning by Code-Assisted Large Language Models for Mathematics—0
Human Learning about AI—0
Evaluating GPT-4 at Grading Handwritten Solutions in Math Exams—0
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science—0
Hydrodynamics of Markets:Hidden Links Between Physics and Finance—0
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models—0
Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations—0
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models—0
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate—0
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio—0
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework—0
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning—0
How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation—0
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation—0
Approximation properties of Residual Neural Networks for Kolmogorov PDEs—0
Entropy Martingale Optimal Transport and Nonlinear Pricing-Hedging Duality—0
Calculus on MDPs: Potential Shaping as a Gradient—0
Approximating Sparse PCA from Incomplete Data—0
Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation—0
BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity—0
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