Keqing He
42 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Academic Marathon (5) π§ Keyword Pioneer π Conference Polyglot (6) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(78)
π¬
Deep Specialist
(13)
π
Keyword Champion
(13)
π€
Dynamic Duo
(39)
π
Century Club
(42)
ποΈ
Keyword Collector
(127)
π₯
Unstoppable
(6)
β
The Questioner
(2)
β‘
Prolific Year
(10)
Conferences
EMNLP (13)
ACL (10)
COLING (9)
NAACL (5)
IJCNLP (3)
ICLR (2)
Top co-authors
Keywords
dialogue system
(13)
out-of-domain detection
(13)
representation learning
(9)
intent classification
(9)
contrastive learning
(7)
intent detection
(7)
slot filling
(7)
large language model
(6)
zero-shot learning
(6)
task-oriented dialogue
(6)
intent discovery
(5)
out-of-distribution detection
(5)
language model
(4)
knowledge distillation
(3)
adversarial augmentation
(3)
domain adaptation
(3)
knowledge transfer
(2)
semi-supervised learning
(2)
prototype learning
(2)
semantic structure
(2)
Papers
PreAct: Prediction Enhances Agentβs Planning Ability
COLING 2025
AgentRefine: Enhancing Agent Generalization through Refinement Tuning
ICLR 2025
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses
COLING 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
COLING 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
NAACL 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
ICLR 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
ACL 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
EMNLP 2024
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
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
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
EMNLP 2023
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
EMNLP 2023
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
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
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
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
Generalized Intent Discovery: Learning from Open World Dialogue System
COLING 2022
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
ACL 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
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
IJCNLP 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
IJCNLP 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
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space
COLING 2020
Syntactic Graph Convolutional Network for Spoken Language Understanding
COLING 2020
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack
COLING 2020
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
ACL 2020
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots
EMNLP 2020