Search Results for author: Zhicheng Guo

Found 14 papers, 5 papers with code

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

2 code implementations12 Mar 2024 Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu

The virtual API server contains a caching system and API simulators which are complementary to alleviate the change in API status.

Benchmarking

What is different between these datasets?

no code implementations8 Mar 2024 Varun Babbar, Zhicheng Guo, Cynthia Rudin

The performance of machine learning models heavily depends on the quality of input data, yet real-world applications often encounter various data-related challenges.

Towards Unified Alignment Between Agents, Humans, and Environment

no code implementations12 Feb 2024 Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

We also conduct proof-of-concept studies by introducing realistic features to WebShop, including user profiles to demonstrate intentions, personalized reranking for complex environmental dynamics, and runtime cost statistics to reflect self-constraints.

Decision Making

Reconsideration on evaluation of machine learning models in continuous monitoring using wearables

no code implementations4 Dec 2023 Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Fadi B Nahab, Xiao Hu

This paper explores the challenges in evaluating machine learning (ML) models for continuous health monitoring using wearable devices beyond conventional metrics.

Can Vision-Language Models Think from a First-Person Perspective?

1 code implementation27 Nov 2023 Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

However, the capability of VLMs to "think" from a first-person perspective, a crucial attribute for advancing autonomous agents and robotics, remains largely unexplored.

Attribute Question Answering +1

Iterative Translation Refinement with Large Language Models

no code implementations6 Jun 2023 Pinzhen Chen, Zhicheng Guo, Barry Haddow, Kenneth Heafield

In this paper, we propose iterative translation refinement to leverage the power of large language models for more natural translation and post-editing.

Language Modelling Large Language Model +1

Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks

1 code implementation28 May 2023 Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu

There are two main challenges to leveraging retrieval-augmented methods for NKI tasks: 1) the demand for diverse relevance score functions and 2) the dilemma between training cost and task performance.

Retrieval

Interpretable Machine Learning System to EEG Patterns on the Ictal-Interictal-Injury Continuum

no code implementations9 Nov 2022 Alina Jade Barnett, Zhicheng Guo, Jin Jing, Wendong Ge, Cynthia Rudin, M. Brandon Westover

To address these challenges, we propose a novel interpretable deep learning model that not only predicts the presence of harmful brainwave patterns but also provides high-quality case-based explanations of its decisions.

EEG Electroencephalogram (EEG) +1

Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia Alarms

1 code implementation7 Nov 2022 Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit Shah, Duc H. Do, Randall J Lee, Gari Clifford, Fadi B Nahab, Xiao Hu

To address this challenge, in this study, we propose to leverage AF alarms from bedside patient monitors to label concurrent PPG signals, resulting in the largest PPG-AF dataset so far (8. 5M 30-second records from 24100 patients) and demonstrating a practical approach to build large labeled PPG datasets.

Atrial Fibrillation Detection Computational Efficiency +2

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