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Found 5 papers, 1 papers with code
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
We focus on integrating the Chain-of-Thought (CoT) and the Program-of-Thought (PoT) learning, hypothesizing that prioritizing the learning of mathematical reasoning ability is helpful for the amplification of problem-solving ability.
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
Recently, an alternative strategy has surfaced, employing readily available foundation models, such as VideoLMs and LLMs, across multiple stages for modality bridging.
Ranked #1 on
Zero-Shot Video Question Answer
on IntentQA
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Consequently, RFR achieves dual objectives in backward and forward compatibility: minimizing feature extractor modifications and enhancing novel task performance, respectively.
MatGD: Materials Graph Digitizer
We have developed MatGD (Material Graph Digitizer), which is a tool for digitizing a data line from scientific graphs.
Semantics-Preserving Adversarial Training
Adversarial training is a defense technique that improves adversarial robustness of a deep neural network (DNN) by including adversarial examples in the training data.
