activity
20182025
most citedCoaCor: Code Annotation for Code Retrieval with Reinforcement Learning

97 citations · 223 across the 18 of their papers we have counts for

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Showing cs.CLShow all

13 papers · 1 filter

cs.CL2024★ 5 cited

MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education

Murong Yue, Wenhan Lyu, Jennifer Suh +2

Collaborative problem solving (CPS) is essential in mathematics education, fostering deeper learning through the exchange of ideas. Yet, classrooms often lack the resources, time,…

cs.CL2023★ 2 cited

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

Murong Yue, Jie Zhao, Min Zhang +2

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…

cs.CL2023

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing

Hao Yan, Saurabh Srivastava, Yintao Tai +3

Interactive semantic parsing based on natural language (NL) feedback, where users provide feedback to correct the parser mistakes, has emerged as a more practical scenario than the…

cs.CL2023

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

Daking Rai, Bailin Wang, Yilun Zhou +1

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). I…

cs.CL2023

MAILEX: Email Event and Argument Extraction

Saurabh Srivastava, Gaurav Singh, Shou Matsumoto +4

In this work, we present the first dataset, MailEx, for performing event extraction from conversational email threads. To this end, we first proposed a new taxonomy covering 10 eve…

cs.CL2022

Synthetic Question Value Estimation for Domain Adaptation of Question Answering

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. Since synthetic que…

cs.CL2022★ 11 cited

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Tianbao Xie, Chen Henry Wu, Peng Shi +20

Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over databases and question answering over knowledge bases.…

cs.CL2020★ 3 cited

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

Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao +2

Clinical question answering (QA) aims to automatically answer questions from medical professionals based on clinical texts. Studies show that neural QA models trained on one corpus…

cs.CL2020★ 3 cited

An Imitation Game for Learning Semantic Parsers from User Interaction

Ziyu Yao, Yiqi Tang, Wen-tau Yih +2

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 ri…

cs.CL2019

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

Ziyu Yao, Yu Su, Huan Sun +1

As a promising paradigm, interactive semantic parsing has shown to improve both semantic parsing accuracy and user confidence in the results. In this paper, we propose a new, unifi…

cs.CL2019★ 3 cited

Reinforced Dynamic Reasoning for Conversational Question Generation

Boyuan Pan, Hao Li, Ziyu Yao +2

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 turn…

cs.CL2018★ 3 cited

Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning

Ziyu Yao, Xiujun Li, Jianfeng Gao +2

Given a text description, most existing semantic parsers synthesize a program in one shot. However, it is quite challenging to produce a correct program solely based on the descrip…

cs.CL2018★ 77 cited

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

Ziyu Yao, Daniel S. Weld, Wei-Peng Chen +1

Stack Overflow (SO) has been a great source of natural language questions and their code solutions (i.e., question-code pairs), which are critical for many tasks including code ret…