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Found 7 papers, 3 papers with code
Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Arithmetic Reasoning
This study investigates the internal reasoning process of language models during arithmetic multi-step reasoning, motivated by the question of when they internally form their answers during reasoning.
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
Multi-step reasoning instruction, such as chain-of-thought prompting, is widely adopted to explore better language models (LMs) performance.
TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
This paper presents a Tri-branch Neural Fusion (TNF) approach designed for classifying multimodal medical images and tabular data.
WeaveNet for Approximating Two-sided Matching Problems
Matching, a task to optimally assign limited resources under constraints, is a fundamental technology for society.
3D Point Cloud Registration with Learning-based Matching Algorithm
Instead of only optimizing the feature extractor for a matching algorithm, we propose a learning-based matching module optimized to the jointly-trained feature extractor.
WeaveNet: A Differentiable Solver for Non-linear Assignment Problems
Assignment, a task to match a limited number of elements, is a fundamental problem in informatics.
WeaveNet for Approximating Assignment Problems
Assignment, a task to match a limited number of elements, is a fundamental problem in informatics.
