← Authors

Tao Gui

122 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸƒ Academic Marathon (8) 🏠 Conference Loyalist (42) 🀝 Dynamic Duo (108) πŸ‘₯ Mega-Team (34) πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (8) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (492) πŸ’Ž Century Club (119) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

ACL (42) EMNLP (37) COLING (13) AAAI (10) IJCNLP (6) IJCAI (4) ICLR (3) NAACL (3) CVPR (2) AACL (1) ICML (1)

Top co-authors

Qi Zhang (109) Xuanjing Huang (91) Zhiheng Xi (33) Rui Zheng (33) Shihan Dou (18) Ruotian Ma (16) Xin Zhou (15) Junjie Ye (15) Xiao Wang (15) Jun Zhao (14)

Research topics

Privacy (2) Applications (1)

Keywords

large language model (29) named entity recognition (16) reinforcement learning (10) language model (9) adversarial training (9) transfer learning (8) relation extraction (7) representation learning (7) domain adaptation (7) pre-trained language model (6) model compression (6) text classification (5) reinforcement learning from human feedback (5) reward model (5) question answering (4) adversarial attack (4) preference alignment (4) text generation (4) few-shot learning (4) natural language processing (4)

Papers

MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models AAAI 2026
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026
What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study AAAI 2026
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025
RMB: Comprehensively benchmarking reward models in LLM alignment ICLR 2025
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs ICLR 2025
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation EMNLP 2025
Distill Visual Chart Reasoning Ability from LLMs to MLLMs EMNLP 2025
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025
Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025
Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models CVPR 2025
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios COLING 2025
Better Process Supervision with Bi-directional Rewarding Signals ACL 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ACL 2025
Multi-Programming Language Sandbox for LLMs ACL 2025
Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025
AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments ACL 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025
LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024
LLMEval: A Preliminary Study on How to Evaluate Large Language Models AAAI 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024
Navigating the OverKill in Large Language Models ACL 2024
Unveiling Linguistic Regions in Large Language Models ACL 2024
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling ACL 2024
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024
P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024
Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024
Length Generalization of Causal Transformers without Position Encoding ACL 2024
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks COLING 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding EMNLP 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration EMNLP 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024
PDF-to-Tree: Parsing PDF Text Blocks into a Tree EMNLP 2024
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023
Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information EMNLP 2023
RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms EMNLP 2023
Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement EMNLP 2023
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction ACL 2023
Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution CVPR 2023
Learning β€œO” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER ACL 2023
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023
Characterizing the Impacts of Instances on Robustness ACL 2023
Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023
Connectivity Patterns are Task Embeddings ACL 2023
Actively Supervised Clustering for Open Relation Extraction ACL 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023
Towards Understanding Omission in Dialogue Summarization ACL 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023
Open Set Relation Extraction via Unknown-Aware Training ACL 2023
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction EMNLP 2023
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023
Causal Intervention Improves Implicit Sentiment Analysis COLING 2022
Searching for Optimal Subword Tokenization in Cross-domain NER IJCAI 2022
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? EMNLP 2022
Efficient Adversarial Training with Robust Early-Bird Tickets EMNLP 2022
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022
ProofInfer: Generating Proof via Iterative Hierarchical Inference EMNLP 2022
Efficient and Robust Knowledge Graph Construction IJCNLP 2022
Template-free Prompt Tuning for Few-shot NER NAACL 2022
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents ACL 2022
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation ACL 2022
Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning ACL 2022
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022
Robust Lottery Tickets for Pre-trained Language Models ACL 2022
Efficient and Robust Knowledge Graph Construction AACL 2022
Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models COLING 2022
Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER COLING 2022
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases COLING 2022
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks COLING 2022
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining EMNLP 2021
A Relation-Oriented Clustering Method for Open Relation Extraction EMNLP 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training ACL 2021
A Unified Generative Framework for Various NER Subtasks ACL 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021
One2Set: Generating Diverse Keyphrases as a Set ACL 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training IJCNLP 2021
A Unified Generative Framework for Various NER Subtasks IJCNLP 2021
One2Set: Generating Diverse Keyphrases as a Set IJCNLP 2021
Heterogeneous Graph Neural Networks for Keyphrase Generation EMNLP 2021
Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020
Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation AAAI 2019
Long Short-Term Memory with Dynamic Skip Connections AAAI 2019
A Lexicon-Based Graph Neural Network for Chinese NER IJCNLP 2019
Learning Task-Specific Representation for Novel Words in Sequence Labeling IJCAI 2019
CNN-Based Chinese NER with Lexicon Rethinking IJCAI 2019
A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019
Trainable Undersampling for Class-Imbalance Learning AAAI 2019
Cooperative Multimodal Approach to Depression Detection in Twitter AAAI 2019
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis COLING 2018
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging EMNLP 2018
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017