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TitleStatusHype
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion0
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap0
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models0
Instruction-Following Pruning for Large Language Models0
A Probabilistic Model for Node Classification in Directed GraphsCode0
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models0
DIVE: Diversified Iterative Self-ImprovementCode0
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training0
Rethink Delay Doppler Channels and Time-Frequency Coding0
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing0
Slow Perception: Let's Perceive Geometric Figures Step-by-step0
Dynamic Skill Adaptation for Large Language Models0
StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs0
Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning0
Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning0
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions0
System-2 Mathematical Reasoning via Enriched Instruction Tuning0
Correct implied volatility shapes and reliable pricing in the rough Heston model0
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem GenerationCode0
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning0
Formal Mathematical Reasoning: A New Frontier in AI0
Critical-Questions-of-Thought: Steering LLM reasoning with Argumentative QueryingCode0
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models0
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling0
Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning0
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