Wenpeng Yin

Orcid: 0000-0002-3154-1139

Affiliations:
  • Pennsylvania State University, PA, USA
  • Temple University, LanguageX Lab, Philadelphia, PA, USA (former)
  • Salesforce Research, Palo Alto, CA, USA (2019 - 2021)
  • University of Pennsylvania, School of Engineering and Applied Science, Philadelphia, PA, USA (2017 - 2019)
  • Ludwig Maximilian University, Munich, Germany (PhD 2017)
  • Peking University, China (former)


According to our database1, Wenpeng Yin authored at least 95 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
AAAR-1.0: Assessing AI's Potential to Assist Research.
CoRR, 2024

From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems.
CoRR, 2024

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems.
CoRR, 2024

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge.
CoRR, 2024

Exploring Language Model Generalization in Low-Resource Extractive QA.
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

LLMs' Classification Performance is Overclaimed.
CoRR, 2024

Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models.
CoRR, 2024

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

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-Shot Named Entity Recognition.
IEEE Access, 2024

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

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

A Generic Method for Fine-grained Category Discovery in Natural Language Texts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


Toward Zero-Shot Instruction Following.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 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

Contrastive Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Identifying social norm violation in movie plots: from Borat to American Pie.
Digit. Scholarsh. Humanit., November, 2023

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models.
CoRR, 2023

Forget Demonstrations, Focus on Learning from Textual Instructions.
CoRR, 2023

Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning.
CoRR, 2023

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Data Augmentation for Text Classification with EASE.
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 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

Event Linking: Grounding Event Mentions to Wikipedia.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Indirectly Supervised Natural Language Processing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Robustness of Learning from Task Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning to Select from Multiple Options.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference.
Trans. Assoc. Comput. Linguistics, 2022

Robustness of Learning from Task Instructions.
CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.
CoRR, 2022

Pairwise Representation Learning for Event Coreference.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

OpenStance: Real-world Zero-shot Stance Detection.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

ConTinTin: Continual Learning from Task Instructions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.
IEEE Trans. Affect. Comput., 2021

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization.
npj Digit. Medicine, 2021

Empirical evaluation of multi-task learning in deep neural networks for natural language processing.
Neural Comput. Appl., 2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution.
CoRR, 2021

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning to Synthesize Data for Semantic Parsing.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DocNLI: A Large-scale Dataset for Document-level Natural Language Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Joint Learning of Question Answering and Question Generation.
IEEE Trans. Knowl. Data Eng., 2020

Paired Representation Learning for Event and Entity Coreference.
CoRR, 2020

Explaining and Improving Model Behavior with k Nearest Neighbor Representations.
CoRR, 2020

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.
CoRR, 2020

Meta-learning for Few-shot Natural Language Processing: A Survey.
CoRR, 2020

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization.
CoRR, 2020

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.
CoRR, 2020

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing.
CoRR, 2019

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms.
Trans. Assoc. Comput. Linguistics, 2018

End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions.
CoRR, 2018

Term Definitions Help Hypernymy Detection.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Deep neural networks for identification of sentential relations.
PhD thesis, 2017

Attentive Convolution.
CoRR, 2017

Comparative Study of CNN and RNN for Natural Language Processing.
CoRR, 2017

Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Improved Neural Relation Detection for Knowledge Base Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs.
Trans. Assoc. Comput. Linguistics, 2016

Why and How to Pay Different Attention to Phrase Alignments of Different Intensities.
CoRR, 2016

Attention-Based Convolutional Neural Network for Machine Comprehension.
CoRR, 2016

Simple Question Answering by Attentive Convolutional Neural Network.
Proceedings of the COLING 2016, 2016

Learning Word Meta-Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Detecting overlapping communities in poly-relational networks.
World Wide Web, 2015

Learning Word Meta-Embeddings by Using Ensembles of Embedding Sets.
CoRR, 2015

Discriminative Phrase Embedding for Paraphrase Identification.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Convolutional Neural Network for Paraphrase Identification.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

LCCT: A Semi-supervised Model for Sentiment Classification.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Optimizing Sentence Modeling and Selection for Document Summarization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Online Updating of Word Representations for Part-of-Speech Tagging.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Multichannel Variable-Size Convolution for Sentence Classification.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Deep Learning Embeddings for Discontinuous Linguistic Units.
Proceedings of the 2nd International Conference on Learning Representations, 2014

An Exploration of Embeddings for Generalized Phrases.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Community Detection in Multi-relational Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

2012
Automatic Multi-document Summarization Based on New Sentence Similarity Measures.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Generic Multi-Document Summarization Using Topic-Oriented Information.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization.
Proceedings of the COLING 2012, 2012

RelationListwise for Query-Focused Multi-Document Summarization.
Proceedings of the COLING 2012, 2012

A Supervised Aggregation Framework for Multi-Document Summarization.
Proceedings of the COLING 2012, 2012

Query-focused multi-document summarization based on query-sensitive feature space.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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