Keqing He

AgentRefine: Enhancing Agent Generalization through Refinement Tuning ICLR 2025 PreAct: Prediction Enhances Agent’s Planning Ability COLING 2025 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 DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations NAACL 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 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ICLR 2024 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 Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023 DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task EMNLP 2023 FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023 Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting ACL 2023 Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT EMNLP 2023 Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation ACL 2023 Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning ACL 2022 Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022 Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization NAACL 2022 Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022 PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling COLING 2022 Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022 Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022 Adversarial Self-Supervised Learning for Out-of-Domain Detection NAACL 2021 A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization EMNLP 2021 Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling EMNLP 2021 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021 Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ACL 2021 Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System ACL 2021 Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System ACL 2021 A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space COLING 2020 Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots EMNLP 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 Syntactic Graph Convolutional Network for Spoken Language Understanding COLING 2020