Rui Zhang

Affiliations:
  • Penn State University, Computer Science and Engineering Department, University Park, PA, USA
  • Yale University, Department of Computer Science, New Haven, CT, USA (former, PhD 2020)
  • University of Michigan, Department of EECS, Ann Arbor, MI, USA (former)


According to our database1, Rui Zhang authored at least 64 papers between 2016 and 2024.

Collaborative distances:

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Bibliography

2024
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning.
CoRR, 2024

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.
CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR, 2024

Evaluating LLMs at Detecting Errors in LLM Responses.
CoRR, 2024

Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications.
Proceedings of the 33rd USENIX Security Symposium, 2024

Fair Abstractive Summarization of Diverse Perspectives.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Veiled Pathways: Investigating Covert and Side Channels Within GPU Uncore.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

MT-Ranker: Reference-free machine translation evaluation by inter-system ranking.
Proceedings of the Twelfth International Conference on Learning Representations, 2024



Large Language Models for Mathematical Reasoning: Progresses and Challenges.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

MACSum: Controllable Summarization with Mixed Attributes.
Trans. Assoc. Comput. Linguistics, 2023

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.
CoRR, 2023

KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains.
CoRR, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
FeTaQA: Free-form Table Question Answering.
Trans. Assoc. Comput. Linguistics, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.
CoRR, 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.
CoRR, 2022

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Summ<sup>N</sup>: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions.
CoRR, 2021

Cross-Lingual Training with Dense Retrieval for Document Retrieval.
CoRR, 2021

FeTaQA: Free-form Table Question Answering.
CoRR, 2021

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DART: Open-Domain Structured Data Record to Text Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing.
Proceedings of the 9th International Conference on Learning Representations, 2021

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Logic-Consistency Text Generation from Semantic Parses.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Cross-language Sentence Selection via Data Augmentation and Rationale Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.
CoRR, 2020

DART: Open-Domain Structured Data Record to Text Generation.
CoRR, 2020

MATERIALizing Cross-Language Information Retrieval: A Snapshot.
Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech, 2020

ESPRIT: Explaining Solutions to Physical Reasoning Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Surprise Languages: Rapid-Response Cross-Language IR.
Proceedings of the 9th International Workshop on Evaluating Information Access co-located with the 14th NTCIR Conference on the Evaluation of Information Access Technologies (NTCIR 2019), 2019

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

SParC: Cross-Domain Semantic Parsing in Context.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task.
CoRR, 2018

TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improving Text-to-SQL Evaluation Methodology.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Graph-based Neural Multi-Document Summarization.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.
Proceedings of the NAACL HLT 2016, 2016

Effects of Creativity and Cluster Tightness on Short Text Clustering Performance.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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