Search Results for author: Ziyu Yao

Found 21 papers, 16 papers with code

Lens: A Foundation Model for Network Traffic in Cybersecurity

no code implementations6 Feb 2024 Qineng Wang, Chen Qian, Xiaochang Li, Ziyu Yao, Huajie Shao

Network traffic refers to the amount of data being sent and received over the internet or any system that connects computers.

Traffic Prediction

Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

no code implementations5 Oct 2023 Mohamed Aghzal, Erion Plaku, Ziyu Yao

Large language models (LLMs) have achieved remarkable success across a wide spectrum of tasks; however, they still face limitations in scenarios that demand long-term planning and spatial reasoning.

Navigate

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

1 code implementation4 Oct 2023 Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

Large language models (LLMs) such as GPT-4 have exhibited remarkable performance in a variety of tasks, but this strong performance often comes with the high expense of using paid API services.

Decision Making Language Modelling +1

Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance

no code implementations3 Oct 2023 Saurabh Srivastava, Chengyue Huang, Weiguo Fan, Ziyu Yao

Large language models (LLMs) have revolutionized zero-shot task performance, mitigating the need for task-specific annotations while enhancing task generalizability.

Code Generation Logical Reasoning +1

Gentopia: A Collaborative Platform for Tool-Augmented LLMs

1 code implementation8 Aug 2023 Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu

We present gentopia, an ALM framework enabling flexible customization of agents through simple configurations, seamlessly integrating various language models, task formats, prompting modules, and plugins into a unified paradigm.

Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques

1 code implementation27 May 2023 Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao

Compositional and domain generalization present significant challenges in semantic parsing, even for state-of-the-art semantic parsers based on pre-trained language models (LMs).

Domain Generalization Language Modelling +2

MAILEX: Email Event and Argument Extraction

1 code implementation22 May 2023 Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali Raz, Paulo Costa, Joshua Poore, Ziyu Yao

In this work, we present the first dataset, MailEx, for performing event extraction from conversational email threads.

Event Extraction In-Context Learning

PoseRAC: Pose Saliency Transformer for Repetitive Action Counting

1 code implementation15 Mar 2023 Ziyu Yao, Xuxin Cheng, Yuexian Zou

Moreover, we introduce a pose-level method, PoseRAC, which is based on this representation and achieves state-of-the-art performance on two new version datasets by using Pose Saliency Annotation to annotate salient poses for training.

Repetitive Action Counting

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)

no code implementations25 Jan 2023 Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao

While large language models (LLMs) have demonstrated strong capability in structured prediction tasks such as semantic parsing, few amounts of research have explored the underlying mechanisms of their success.

Language Modelling Large Language Model +2

Synthetic Question Value Estimation for Domain Adaptation of Question Answering

1 code implementation ACL 2022 Xiang Yue, Ziyu Yao, Huan Sun

Synthesizing QA pairs with a question generator (QG) on the target domain has become a popular approach for domain adaptation of question answering (QA) models.

Domain Adaptation Question Answering

Code Editing from Few Exemplars by Adaptive Multi-Extent Composition

no code implementations29 Sep 2021 Peizhao Li, Xuchao Zhang, Ziyu Yao, Wei Cheng, Haifeng Chen, Hongfu Liu

To achieve this, we propose a machine learning approach to adapt the editorial style derived from few exemplars to a query code snippet.

Learning Structural Edits via Incremental Tree Transformations

1 code implementation ICLR 2021 Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig

To show the unique benefits of modeling tree edits directly, we further propose a novel edit encoder for learning to represent edits, as well as an imitation learning method that allows the editor to be more robust.

Imitation Learning

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

2 code implementations30 Oct 2020 Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon Lin, Huan Sun

Clinical question answering (QA) aims to automatically answer questions from medical professionals based on clinical texts.

Domain Adaptation Question Answering +2

An Imitation Game for Learning Semantic Parsers from User Interaction

1 code implementation EMNLP 2020 Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su

Despite the widely successful applications, bootstrapping and fine-tuning semantic parsers are still a tedious process with challenges such as costly data annotation and privacy risks.

Imitation Learning Text-To-SQL

Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study

2 code implementations IJCNLP 2019 Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih

As a promising paradigm, interactive semantic parsing has shown to improve both semantic parsing accuracy and user confidence in the results.

Semantic Parsing Text-To-SQL

Reinforced Dynamic Reasoning for Conversational Question Generation

1 code implementation ACL 2019 Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun

This paper investigates a new task named Conversational Question Generation (CQG) which is to generate a question based on a passage and a conversation history (i. e., previous turns of question-answer pairs).

Question Answering Question Generation +1

CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning

1 code implementation13 Mar 2019 Ziyu Yao, Jayavardhan Reddy Peddamail, Huan Sun

In this work, we investigate a novel perspective of Code annotation for Code retrieval (hence called `CoaCor'), where a code annotation model is trained to generate a natural language annotation that can represent the semantic meaning of a given code snippet and can be leveraged by a code retrieval model to better distinguish relevant code snippets from others.

reinforcement-learning Reinforcement Learning (RL) +1

StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

1 code implementation26 Mar 2018 Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun

In this paper, we investigate a new problem of systematically mining question-code pairs from Stack Overflow (in contrast to heuristically collecting them).

Retrieval

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