Jiwei Li

Orcid: 0000-0002-3851-191X

Affiliations:
  • Shannon.AI, Beijing, China
  • Zhejiang University, Hangzhou, China
  • Stanford University, USA (PhD 2017)


According to our database1, Jiwei Li authored at least 132 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning.
CoRR, 2024

MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities.
CoRR, 2024

Similarity-based Neighbor Selection for Graph LLMs.
CoRR, 2024

Backdoor Attacks with Input-Unique Triggers in NLP.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Are Human-generated Demonstrations Necessary for In-context Learning?
Proceedings of the Twelfth International Conference on Learning Representations, 2024

You Only Query Once: An Efficient Label-Only Membership Inference Attack.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fingerprinting Image-to-Image Generative Adversarial Networks.
Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

Robust-Wide: Robust Watermarking Against Instruction-Driven Image Editing.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Sim-GPT: Text Similarity via GPT Annotated Data.
CoRR, 2023

Rethinking Adversarial Training with Neural Tangent Kernel.
CoRR, 2023

Sentiment Analysis through LLM Negotiations.
CoRR, 2023

Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content.
CoRR, 2023

Instruction Tuning for Large Language Models: A Survey.
CoRR, 2023

Pushing the Limits of ChatGPT on NLP Tasks.
CoRR, 2023

TaDSE: Template-aware Dialogue Sentence Embeddings.
CoRR, 2023

GPT-NER: Named Entity Recognition via Large Language Models.
CoRR, 2023

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue.
CoRR, 2023

Extracting Robust Models with Uncertain Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

GPT-RE: In-context Learning for Relation Extraction using Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text Classification via Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Ranking-Enhanced Unsupervised Sentence Representation Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Defending against Backdoor Attacks in Natural Language Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Ownership Verification of DNN Architectures via Hardware Cache Side Channels.
IEEE Trans. Circuits Syst. Video Technol., 2022

Sentence Similarity Based on Contexts.
Trans. Assoc. Comput. Linguistics, 2022

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.
CoRR, 2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks.
CoRR, 2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search.
CoRR, 2022

Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild.
CoRR, 2022

Threats to Pre-trained Language Models: Survey and Taxonomy.
CoRR, 2022

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

GNN-LM: Language Modeling based on Global Contexts via GNN.
Proceedings of the Tenth International Conference on Learning Representations, 2022

NASPY: Automated Extraction of Automated Machine Learning Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Watermarking Pre-trained Encoders in Contrastive Learning.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Open World Classification with Adaptive Negative Samples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Adversarial Robustness of 3D Point Cloud Classification Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

An MRC Framework for Semantic Role Labeling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Paraphrase Generation as Unsupervised Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Fast Nearest Neighbor Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dependency Parsing as MRC-based Span-Span Prediction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Faster Nearest Neighbor Machine Translation.
CoRR, 2021

Protecting Your NLG Models with Semantic and Robust Watermarks.
CoRR, 2021

A General Framework for Defending Against Backdoor Attacks via Influence Graph.
CoRR, 2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.
CoRR, 2021

Interpreting Deep Learning Models in Natural Language Processing: A Review.
CoRR, 2021

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time.
CoRR, 2021

OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts.
CoRR, 2021

An MRC Framework for Semantic Role Labeling.
CoRR, 2021

Layer-wise Model Pruning based on Mutual Information.
CoRR, 2021

Defending against Backdoor Attacks in Natural Language Generation.
CoRR, 2021

Parameter Estimation for the SEIR Model Using Recurrent Nets.
CoRR, 2021

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation.
CoRR, 2021

BertGCN: Transductive Text Classification by Combining GCN and BERT.
CoRR, 2021

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ConRPG: Paraphrase Generation using Contexts as Regularizer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Layer-wise Model Pruning based on Mutual Information.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BertGCN: Transductive Text Classification by Combining GNN and BERT.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts.
CoRR, 2020

Self-Explaining Structures Improve NLP Models.
CoRR, 2020

Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining.
CoRR, 2020

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.
CoRR, 2020

Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability.
CoRR, 2020

Improving Robustness and Generality of NLP Models Using Disentangled Representations.
CoRR, 2020

Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions.
CoRR, 2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection.
CoRR, 2020

Non-Autoregressive Neural Dialogue Generation.
CoRR, 2020

LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention.
CoRR, 2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Description Based Text Classification with Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

CorefQA: Coreference Resolution as Query-based Span Prediction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dice Loss for Data-imbalanced NLP Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Unified MRC Framework for Named Entity Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Coreference Resolution as Query-based Span Prediction.
CoRR, 2019

Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs.
CoRR, 2019

Query-Based Named Entity Recognition.
CoRR, 2019

DSReg: Using Distant Supervision as a Regularizer.
CoRR, 2019

Glyce: Glyph-vectors for Chinese Character Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Adversarial Learning for NLP.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Entity-Relation Extraction as Multi-Turn Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
IcoRating: A Deep-Learning System for Scam ICO Identification.
CoRR, 2018

Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep Reinforcement Learning for NLP.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

2017
Teaching machines to converse.
PhD thesis, 2017

Adversarial Learning for Neural Dialogue Generation.
CoRR, 2017

Data Distillation for Controlling Specificity in Dialogue Generation.
CoRR, 2017

Learning to Decode for Future Success.
CoRR, 2017

Data Noising as Smoothing in Neural Network Language Models.
Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarial Learning for Neural Dialogue Generation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Net Models of Open-domain Discourse Coherence.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Understanding Neural Networks through Representation Erasure.
CoRR, 2016

A Simple, Fast Diverse Decoding Algorithm for Neural Generation.
CoRR, 2016

Mutual Information and Diverse Decoding Improve Neural Machine Translation.
CoRR, 2016

A Persona-Based Neural Conversation Model.
CoRR, 2016

A Diversity-Promoting Objective Function for Neural Conversation Models.
Proceedings of the NAACL HLT 2016, 2016

Visualizing and Understanding Neural Models in NLP.
Proceedings of the NAACL HLT 2016, 2016

Deep Reinforcement Learning for Dialogue Generation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Persona-Based Neural Conversation Model.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks.
CoRR, 2015

When Are Tree Structures Necessary for Deep Learning of Representations?
CoRR, 2015

Reflections on Sentiment/Opinion Analysis.
CoRR, 2015

The NLP Engine: A Universal Turing Machine for NLP.
CoRR, 2015

When Are Tree Structures Necessary for Deep Learning of Representations?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Do Multi-Sense Embeddings Improve Natural Language Understanding?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Hierarchical Neural Autoencoder for Paragraphs and Documents.
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
Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks.
CoRR, 2014

Timeline generation: tracking individuals on twitter.
Proceedings of the 23rd International World Wide Web Conference, 2014

Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Recursive Deep Models for Discourse Parsing.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Model of Coherence Based on Distributed Sentence Representation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Sentiment Analysis on the People's Daily.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

What a Nasty Day: Exploring Mood-Weather Relationship from Twitter.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Weakly Supervised User Profile Extraction from Twitter.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Towards a General Rule for Identifying Deceptive Opinion Spam.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Early Stage Influenza Detection from Twitter.
CoRR, 2013

Identifying Manipulated Offerings on Review Portals.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

TopicSpam: a Topic-Model based approach for spam detection.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


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