10 citations · 19 across the 7 of their papers we have counts for
7 papers
Automatic Model Selection with Large Language Models for Reasoning
James Xu Zhao, Yuxi Xie, Kenji Kawaguchi +2
Chain-of-Thought (CoT) and Program-Aided Language Models (PAL) represent two distinct reasoning methods, each with its own strengths. CoT employs natural language, offering flexibi…
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao +4
Breaking down a problem into intermediate steps has demonstrated impressive performance in Large Language Model (LLM) reasoning. However, the growth of the reasoning chain introduc…
Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching
Yesheng Zhang, Xu Zhao
Feature matching is a crucial technique in computer vision. A unified perspective for this task is to treat it as a searching problem, aiming at an efficient search strategy to nar…
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Yueming Hao, Xu Zhao, Bin Bao +4
Deep learning (DL) has been a revolutionary technique in various domains. To facilitate the model development and deployment, many deep learning frameworks are proposed, among whic…
Balanced Audiovisual Dataset for Imbalance Analysis
Wenke Xia, Xu Zhao, Xincheng Pang +2
The imbalance problem is widespread in the field of machine learning, which also exists in multimodal learning areas caused by the intrinsic discrepancy between modalities of sampl…
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Xu Zhao, Zihao Wang, Hao Wu +1
Semi-supervision is a promising paradigm for Bilingual Lexicon Induction (BLI) with limited annotations. However, previous semisupervised methods do not fully utilize the knowledge…
A Relaxed Matching Procedure for Unsupervised BLI
Xu Zhao, Zihao Wang, Hao Wu +1
Recently unsupervised Bilingual Lexicon Induction (BLI) without any parallel corpus has attracted much research interest. One of the crucial parts in methods for the BLI task is th…