Tao Gui

Orcid: 0000-0002-0059-0210

According to our database1, Tao Gui authored at least 136 papers between 2013 and 2024.

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Bibliography

2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.
CoRR, 2024

InternLM2 Technical Report.
CoRR, 2024

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals.
CoRR, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.
CoRR, 2024

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.
CoRR, 2024

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions.
CoRR, 2024

Unveiling Linguistic Regions in Large Language Models.
CoRR, 2024

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.
CoRR, 2024

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.
CoRR, 2024

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
CoRR, 2024

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.
CoRR, 2024

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution.
CoRR, 2024

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
CoRR, 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
CoRR, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
CoRR, 2024

Are Large Language Models Good Prompt Optimizers?
CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR, 2024

Navigating the OverKill in Large Language Models.
CoRR, 2024

MouSi: Poly-Visual-Expert Vision-Language Models.
CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.
CoRR, 2024

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR, 2024

LLaMA Beyond English: An Empirical Study on Language Capability Transfer.
CoRR, 2024

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
CoRR, 2024

LLMEval: A Preliminary Study on How to Evaluate Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
CoRR, 2023

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context.
CoRR, 2023

Making Harmful Behaviors Unlearnable for Large Language Models.
CoRR, 2023

Unveiling A Core Linguistic Region in Large Language Models.
CoRR, 2023

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
CoRR, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
CoRR, 2023

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.
CoRR, 2023

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.
CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.
CoRR, 2023

Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations.
CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.
CoRR, 2023

Open Set Relation Extraction via Unknown-Aware Training.
CoRR, 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
CoRR, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
CoRR, 2023

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild.
CoRR, 2023

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.
CoRR, 2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.
CoRR, 2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.
CoRR, 2023

First Real-time Demonstration of 200G TFDMA Coherent PON using Ultra-simple ONUs.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

First Demonstration of MWDM-Based 400G-LR4 over 10-km SSMF Supporting 400GE and OTN Dual Rates.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Orthogonal Subspace Learning for Language Model Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Understanding Omission in Dialogue Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Characterizing the Impacts of Instances on Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Detecting Adversarial Samples through Sharpness of Loss Landscape.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Open Set Relation Extraction via Unknown-Aware Training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Actively Supervised Clustering for Open Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Connectivity Patterns are Task Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Uncertainty-Aware Sequence Labeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Sentiment-aware multimodal pre-training for multimodal sentiment analysis.
Knowl. Based Syst., 2022

Robust Lottery Tickets for Pre-trained Language Models.
CoRR, 2022

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER.
CoRR, 2022

Searching for Optimal Subword Tokenization in Cross-domain NER.
CoRR, 2022

Real Time 6.4 Tbps (8×800G) SHCD Transmission through 1+8 Multicore Fiber for Co-Packaged Optical-IO Switch Applications.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Template-free Prompt Tuning for Few-shot NER.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Searching for Optimal Subword Tokenization in Cross-domain NER.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Adversarial Training with Robust Early-Bird Tickets.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProofInfer: Generating Proof via Iterative Hierarchical Inference.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Causal Intervention Improves Implicit Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Abstains from Prediction: Towards Robust Relation Extraction in Real World.
Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

An Exploration of Prompt-Based Zero-Shot Relation Extraction Method.
Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Robust Lottery Tickets for Pre-trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models.
CoRR, 2021

Template-free Prompt Tuning for Few-shot NER.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Relation-Oriented Clustering Method for Open Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Heterogeneous Graph Neural Networks for Keyphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

One2Set: Generating Diverse Keyphrases as a Set.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Generative Framework for Various NER Subtasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SENT: Sentence-level Distant Relation Extraction via Negative 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
Real-Time Demonstration of 600 Gb/s DP-64QAM Self-Homodyne Coherent Bi-Direction Transmission with Un-Cooled DFB Laser.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Leveraging Document-Level Label Consistency for Named Entity Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Uncertainty-Aware Label Refinement for Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with <i>K</i>-Means Features.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.
CoRR, 2019

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network.
Sci. China Inf. Sci., 2019

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

140-GBaud PAM-4 Transmission Using Optical Band Interleaving, Kramers-Kronig Detection and Volterra Based Equalization.
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Signal Processing Techniques for Nonlinear Fourier Transform Systems.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Model the Long-Term Post History for Hashtag Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CNN-Based Chinese NER with Lexicon Rethinking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Lexicon-Based Graph Neural Network for Chinese NER.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling the Long-Term Post History for Personalized Hashtag Recommendation.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Depression Detection on Social Media with Reinforcement Learning.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Mining User Profiles from Query Log.
Proceedings of the Information Retrieval - 25th China Conference, 2019

Trainable Undersampling for Class-Imbalance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Long Short-Term Memory with Dynamic Skip Connections.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cooperative Multimodal Approach to Depression Detection in Twitter.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Switch-LSTMs for Multi-Criteria Chinese Word Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Correlated Eigenvalues Optical Communications.
CoRR, 2017

Recent advances in short reach systems.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

50-Gb/s PDM-DMT-SSB transmission over 40km SSMF using a single photodetector in C-band.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

4 Bits/symbol phase and amplitude modulation on a single discrete eigenvalue for transmissions based on nonlinear fourier transform.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

2014
Delayed self-homodyne detection for OFDM-PON downstream.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014

Optical spectrally efficient FDM system for electrical and optical bandwidth saving.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Ultra-fine optical spectrum microscope using optical channel estimation and spectrum fusion technique.
Proceedings of the 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), 2013

Optical power monitoring for O-OFDM superchannel based on Wiener deconvolution.
Proceedings of the 6th IEEE International Conference on Advanced Infocomm Technology, 2013


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