Congying Xia

21 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (13)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 👥 Mega-Team (40) 🏆 Grand Slam 🤝 Dynamic Duo (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) 💎 Century Club (20) ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (91)

Conferences

EMNLP (7) ACL (3) COLING (3) AAAI (2) AACL (1) ICLR (1) ICML (1) IJCNLP (1) NAACL (1) NIPS (1)

Top co-authors

Philip Yu (12) Wenpeng Yin (8) Jiangshu Du (6) Caiming Xiong (4) Tingting Liang (4) Chen Xing (3) Chenwei Zhang (3) Philip S. Yu (3) Lifang He (3) Yihao Feng (3)

Research topics

Education (1)

Keywords

large language model (4) intent classification (3) intent detection (3) few-shot learning (3) zero-shot learning (2) knowledge transfer (2) transfer learning (2) text classification (2) contrastive learning (2) named entity recognition (2) benchmark evaluation (2) few-shot intent detection (2) self-supervised learning (1) preference learning (1) dataset creation (1) self-attention mechanism (1) extractive summarization (1) natural language processing (1) question answering (1) natural language generation (1)

Papers

Benchmarking LLMs for Political Science: A United Nations Perspective AAAI 2026 AAAR-1.0: Assessing AI’s Potential to Assist Research ICML 2025 ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement ICLR 2025 LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024 FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability ACL 2024 LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs ACL 2024 Preference-grounded Token-level Guidance for Language Model Fine-tuning NIPS 2023 Learning to Select from Multiple Options AAAI 2023 All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm AACL 2023 All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm IJCNLP 2023 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization EMNLP 2021 Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning EMNLP 2021 PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition EMNLP 2021 Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System NAACL 2021 MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing COLING 2020 Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020 Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020 Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation COLING 2020 Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks COLING 2020 Multi-grained Named Entity Recognition ACL 2019 Zero-shot User Intent Detection via Capsule Neural Networks EMNLP 2018