Linyi Yang | DeepAI

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Featured Co-authors

Hao Chen
339 publications
Yi Yang
329 publications
Philip S. Yu
299 publications
Yue Zhang
236 publications
Zheng Zhang
203 publications
Bernt Schiele
161 publications
Jie Yang
158 publications
Xing Xie
128 publications
Qiang Yang
103 publications
Lin Yang
100 publications
Zhen Wang
95 publications

∙ 08/15/2023

The L_q-weighted dual programming of the linear Chebyshev approximation and an interior-point method

Given samples of a real or complex-valued function on a set of distinct ...

0 Linyi Yang, et al. ∙

∙ 08/14/2023

A convex dual programming for the rational minimax approximation and Lawson's iteration

Computing the discrete rational minimax approximation in the complex pla...

0 Lei-Hong Zhang, et al. ∙

∙ 07/06/2023

A Survey on Evaluation of Large Language Models

Large language models (LLMs) are gaining increasing popularity in both a...

0 Yupeng Chang, et al. ∙

∙ 06/25/2023

Masked conditional variational autoencoders for chromosome straightening

Karyotyping is of importance for detecting chromosomal aberrations in hu...

0 Jingxiong Li, et al. ∙

∙ 06/08/2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Instruction tuning large language models (LLMs) remains a challenging ta...

0 Yidong Wang, et al. ∙

∙ 06/07/2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

The increasing reliance on Large Language Models (LLMs) across academia ...

0 Kaijie Zhu, et al. ∙

∙ 05/23/2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

Machine learning (ML) systems in natural language processing (NLP) face ...

0 Linyi Yang, et al. ∙

∙ 05/22/2023

Deepfake Text Detection in the Wild

Recent advances in large language models have enabled them to reach a le...

0 Yafu Li, et al. ∙

∙ 05/15/2023

Measuring Consistency in Text-based Financial Forecasting Models

Financial forecasting has been an important and active area of machine l...

0 Linyi Yang, et al. ∙

∙ 05/14/2023

Learning to Generalize for Cross-domain QA

There have been growing concerns regarding the out-of-domain generalizat...

0 Yingjie Niu, et al. ∙

∙ 02/22/2023

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

ChatGPT is a recent chatbot service released by OpenAI and is receiving ...

0 Jindong Wang, et al. ∙

∙ 12/17/2022

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis

User and product information associated with a review is useful for sent...

0 Chenyang Lyu, et al. ∙

∙ 11/15/2022

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Pre-trained language models (PLMs) are known to improve the generalizati...

0 Linyi Yang, et al. ∙

∙ 09/28/2022

Human-in-the-loop Robotic Grasping using BERT Scene Representation

Current NLP techniques have been greatly applied in different domains. I...

0 Yaoxian Song, et al. ∙

∙ 08/24/2022

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition

Few-shot Named Entity Recognition (NER) is imperative for entity tagging...

0 Linyi Yang, et al. ∙

∙ 08/12/2022

USB: A Unified Semi-supervised Learning Benchmark

Semi-supervised learning (SSL) improves model generalization by leveragi...

0 Yidong Wang, et al. ∙

∙ 04/15/2022

Towards Fine-grained Causal Reasoning and QA

Understanding causality is key to the success of NLP applications, espec...

9 Linyi Yang, et al. ∙

∙ 04/14/2022

Challenges for Open-domain Targeted Sentiment Analysis

Since previous studies on open-domain targeted sentiment analysis are li...

0 Yun Luo, et al. ∙

∙ 03/24/2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning

We present a novel rationale-centric framework with human-in-the-loop – ...

0 Jinghui Lu, et al. ∙

∙ 01/05/2022

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting

Financial forecasting has been an important and active area of machine l...

0 Linyi Yang, et al. ∙

∙ 06/29/2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis

While state-of-the-art NLP models have been achieving the excellent perf...

0 Linyi Yang, et al. ∙

∙ 06/29/2021

Fact Check: Analyzing Financial Events from Multilingual News Sources

The explosion in the sheer magnitude and complexity of financial news da...

0 Linyi Yang, et al. ∙

∙ 10/23/2020

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Corporate mergers and acquisitions (M A) account for billions of dolla...

0 Linyi Yang, et al. ∙

∙ 02/13/2019

Explainable Text-Driven Neural Network for Stock Prediction

It has been shown that financial news leads to the fluctuation of stock ...

0 Linyi Yang, et al. ∙

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