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Showing 951–975 of 1596 papers

TitleStatusHype
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities—0
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks—0
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation—0
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo—0
Mind Scramble: Unveiling Large Language Model Psychology Via TypoglycemiaCode0
Not All LLM Reasoners Are Created Equal—0
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge TracingCode0
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models—0
Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-ProblemsCode0
The Perfect Blend: Redefining RLHF with Mixture of Judges—0
Instance-adaptive Zero-shot Chain-of-Thought Prompting—0
INC-Math: Integrating Natural Language and Code for Enhanced Mathematical Reasoning in Large Language Models—0
Revisiting the Superficial Alignment Hypothesis—0
On the Inductive Bias of Stacking Towards Improving Reasoning—0
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy—0
LLaMa-SciQ: An Educational Chatbot for Answering Science MCQ—0
Democratizing Signal Processing and Machine Learning: Math Learning Equity for Elementary and Middle School Students—0
Models Can and Should Embrace the Communicative Nature of Human-Generated Math—0
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning—0
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQLCode0
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-TuningCode0
ControlMath: Controllable Data Generation Promotes Math Generalist Models—0
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning—0
GRIN: GRadient-INformed MoE—0
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement—0
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