Search Results for author: Xuefeng Li

Found 15 papers, 8 papers with code

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

1 code implementation18 Jun 2024 Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, PengFei Liu

We delve into the models' cognitive reasoning abilities, their performance across different modalities, and their outcomes in process-level evaluations, which are vital for tasks requiring complex reasoning with lengthy solutions.

Evaluating Mathematical Reasoning Beyond Accuracy

1 code implementation8 Apr 2024 Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, PengFei Liu

To measure reasoning beyond final-answer accuracy, we introduce ReasonEval, a new methodology for evaluating the quality of reasoning steps.

Math Mathematical Reasoning

Pipelined Biomedical Event Extraction Rivaling Joint Learning

no code implementations19 Mar 2024 Pengchao Wu, Xuefeng Li, Jinghang Gu, Longhua Qian, Guodong Zhou

Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event.

Event Extraction Relation Extraction

Reformatted Alignment

1 code implementation19 Feb 2024 Run-Ze Fan, Xuefeng Li, Haoyang Zou, Junlong Li, Shwai He, Ethan Chern, Jiewen Hu, PengFei Liu

This paper explores elevating the quality of existing instruction data to better align with human values, introducing a simple and effective approach named ReAlign, which reformats the responses of instruction data into a format that better aligns with pre-established criteria and the collated evidence.

GSM8K Hallucination +2

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization

1 code implementation6 Nov 2023 Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang

Based on this, we propose a relative structural entropy-based position encoding and a multi-head attention masking scheme based on multi-layer encoding trees.

Management Position +2

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting

1 code implementation6 Jul 2023 Xuefeng Li, LiWen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu

Zero-shot cross-domain slot filling aims to transfer knowledge from the labeled source domain to the unlabeled target domain.

slot-filling Slot Filling

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition

no code implementations27 Feb 2023 Guanting Dong, Zechen Wang, LiWen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu

Specifically, we decouple class-specific prototypes and contextual semantic prototypes by two masking strategies to lead the model to focus on two different semantic information for inference.

Contrastive Learning few-shot-ner +4

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations

no code implementations27 Feb 2023 Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, LiWen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

In real dialogue scenarios, the existing slot filling model, which tends to memorize entity patterns, has a significantly reduced generalization facing Out-of-Vocabulary (OOV) problems.

Contrastive Learning slot-filling +1

A Robust Contrastive Alignment Method For Multi-Domain Text Classification

no code implementations26 Apr 2022 Xuefeng Li, Hao Lei, LiWen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang

In this paper, we propose a robust contrastive alignment method to align text classification features of various domains in the same feature space by supervised contrastive learning.

Contrastive Learning text-classification +1

Can Label-Noise Transition Matrix Help to Improve Sample Selection and Label Correction?

no code implementations29 Sep 2021 Yu Yao, Xuefeng Li, Tongliang Liu, Alan Blair, Mingming Gong, Bo Han, Gang Niu, Masashi Sugiyama

Existing methods for learning with noisy labels can be generally divided into two categories: (1) sample selection and label correction based on the memorization effect of neural networks; (2) loss correction with the transition matrix.

Learning with noisy labels Memorization

Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection

no code implementations23 Apr 2021 Xuefeng Li, Alan Blair

Several regularization methods have recently been introduced which force the latent activations of an autoencoder or deep neural network to conform to either a Gaussian or hyperspherical distribution, or to minimize the implicit rank of the distribution in latent space.

Image Generation Representation Learning

Provably End-to-end Label-Noise Learning without Anchor Points

1 code implementation4 Feb 2021 Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama

In label-noise learning, the transition matrix plays a key role in building statistically consistent classifiers.

Learning with noisy labels

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