Search Results for author: Xingyuan Bu

Found 12 papers, 4 papers with code

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

no code implementations17 Jun 2024 Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Han-sen Zhong, Wanli Ouyang

In this work, we identify a pitfall of vanilla iterative DPO - improved response quality can lead to increased verbosity.

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

1 code implementation22 Feb 2024 Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

By conducting a detailed analysis of real multi-turn dialogue data, we construct a three-tier hierarchical ability taxonomy comprising 4208 turns across 1388 multi-turn dialogues in 13 distinct tasks.

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models

1 code implementation22 Feb 2024 Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

This paper introduces ConceptMath, a bilingual (English and Chinese), fine-grained benchmark that evaluates concept-wise mathematical reasoning of Large Language Models (LLMs).

Math Mathematical Reasoning

Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection

no code implementations9 May 2022 Weixin Feng, Xingyuan Bu, Chenchen Zhang, Xubin Li

In this paper, we take advantage of language prompt to introduce effective and unbiased linguistic supervision into object detection, and propose a new mechanism called multimodal knowledge learning (\textbf{MKL}), which is required to learn knowledge from language supervision.

Object object-detection +1

GAIA: A Transfer Learning System of Object Detection that Fits Your Needs

1 code implementation CVPR 2021 Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang

Transfer learning with pre-training on large-scale datasets has played an increasingly significant role in computer vision and natural language processing recently.

object-detection Object Detection +1

DETR for Crowd Pedestrian Detection

1 code implementation12 Dec 2020 Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng

Furthermore, the bipartite match of ED harms the training efficiency due to the large ground truth number in crowd scenes.

Decoder Pedestrian Detection

Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds

no code implementations17 Nov 2017 Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia

To this end, several new layers are introduced in our network, including a nonlinear kernel aggregation layer, an SPD matrix transformation layer, and a vectorization layer.

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