conftrace_

Yanan Wu

33 papers · 2021–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (7)
🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (14) πŸ† Keyword Champion (2) πŸ’Ž Century Club (32) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (119) πŸ”₯ Unstoppable (5)

Conferences

ACL (7) NAACL (6) EMNLP (4) AAAI (3) COLING (2) ICCV (2) ICLR (2) IJCAI (2) IJCNLP (2) ECCV (1) MICCAI (1) NIPS (1)

Papers

ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants ACL 2026 ProgCo: Program Helps Self-Correction of Large Language Models ACL 2025 Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation ICCV 2025 Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion MICCAI 2025 Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation ICLR 2025 MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models ICLR 2025 M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation ACL 2025 DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models NAACL 2025 DDK: Distilling Domain Knowledge for Efficient Large Language Models NIPS 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams ECCV 2024 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023 MetaGCD: Learning to Continually Learn in Generalized Category Discovery ICCV 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 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 Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning ACL 2022 Generalized Intent Discovery: Learning from Open World Dialogue System 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 Deep Graph Matching for Partial Label Learning IJCAI 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 Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration NAACL 2022 RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction NAACL 2022 Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning AAAI 2022 GM-MLIC: Graph Matching based Multi-Label Image Classification IJCAI 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 IJCNLP 2021 Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning IJCNLP 2021 Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System ACL 2021 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021