Weiran Xu
59 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Academic Marathon (9) π§ Keyword Pioneer π Conference Polyglot (8) π Renaissance Researcher (9)
π
Conference Polyglot
(8)
π
Academic Marathon
(9)
π
Renaissance Researcher
(9)
π€
Dynamic Duo
(39)
π¬
Deep Specialist
(12)
β
The Questioner
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Century Club
(59)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(186)
π₯
Unstoppable
(6)
Conferences
EMNLP (18)
ACL (15)
COLING (10)
NAACL (7)
IJCNLP (4)
AAAI (2)
ICLR (2)
ECCV (1)
Top co-authors
Keywords
dialogue system
(14)
out-of-domain detection
(13)
contrastive learning
(9)
representation learning
(9)
intent classification
(9)
task-oriented dialogue
(8)
zero-shot learning
(8)
slot filling
(8)
large language model
(8)
intent detection
(6)
out-of-distribution detection
(5)
intent discovery
(5)
knowledge distillation
(4)
abstractive summarization
(4)
domain adaptation
(4)
language model
(4)
adversarial augmentation
(3)
dialogue summarization
(3)
few-shot learning
(3)
self-supervised learning
(3)
Papers
AgentRefine: Enhancing Agent Generalization through Refinement Tuning
ICLR 2025
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
ICLR 2025
PreAct: Prediction Enhances Agentβs Planning Ability
COLING 2025
HFT: Half Fine-Tuning for Large Language Models
ACL 2025
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
AAAI 2025
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle
NAACL 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
NAACL 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
COLING 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses
COLING 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
EMNLP 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
ACL 2024
Faceptor: A Generalist Model for Face Perception
ECCV 2024
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation
ACL 2023
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting
ACL 2023
Value type: the bridge to a better DST model
ACL 2023
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking
EMNLP 2023
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
EMNLP 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
EMNLP 2023
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
EMNLP 2023
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue
ACL 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
ACL 2023
Generalized Intent Discovery: Learning from Open World Dialogue System
COLING 2022
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
ACL 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
COLING 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
COLING 2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
EMNLP 2022
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
EMNLP 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
EMNLP 2022
Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition
EMNLP 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
EMNLP 2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
EMNLP 2022
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold
NAACL 2022
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization
NAACL 2022
Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization
EMNLP 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ACL 2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
ACL 2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
IJCNLP 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
IJCNLP 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
IJCNLP 2021
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
EMNLP 2021
Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization
EMNLP 2021
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling
EMNLP 2021
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization
EMNLP 2021
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System
IJCNLP 2021
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack
NAACL 2021
Adversarial Self-Supervised Learning for Out-of-Domain Detection
NAACL 2021
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System
ACL 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
ACL 2021
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
AAAI 2020
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack
COLING 2020
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots
EMNLP 2020
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space
COLING 2020
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words
COLING 2020
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
ACL 2020
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
NAACL 2018
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
ACL 2018
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
ACL 2018
Bitext Name Tagging for Cross-lingual Entity Annotation Projection
COLING 2016