Zhihong Zhu
58 papers · 2023–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (95) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🤝 Dynamic Duo (31)
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Deep Specialist
(16)
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Renaissance Researcher
(8)
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The Questioner
(2)
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Prolific Year · Absurd
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Conference Pioneer
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Century Club · Silver
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Keyword Collector
(227)
Venues
Top co-authors
Research topics
Artificial Intelligence
(38)
Core AI
(35)
Machine Learning
(34)
Natural Language Processing
(32)
Applications
(26)
Learning Types · Machine Learning
(23)
Deep Learning
(21)
Learning Types · Deep Learning
(12)
Core Methods
(10)
Generation
(8)
Application Areas
(7)
Learning Paradigms
(7)
Resources & Methods
(7)
Speech & Audio
(6)
Healthcare & Medicine
(5)
Keywords
spoken language understanding
(14)
contrastive learning
(10)
multimodal learning
(9)
large language model
(8)
slot filling
(7)
vision-language model
(6)
intent detection
(6)
task-oriented dialogue
(5)
attention mechanism
(4)
intent classification
(4)
optimal transport
(4)
zero-shot learning
(4)
automatic speech recognition
(4)
reinforcement learning
(3)
causal inference
(3)
cross-modal learning
(3)
hallucination mitigation
(3)
multi-task learning
(3)
benchmark evaluation
(3)
cross-lingual transfer
(3)
Papers
Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization
ACL 2026
CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding
AAAI 2026
MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models
ACL 2026
S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection
AAAI 2026
D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
A Survey on Foundation Language Models for Single-cell Biology
ACL 2025
A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers
EMNLP 2025
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models
ACL 2025
CMedCalc-Bench: A Fine-Grained Benchmark for Chinese Medical Calculations in LLM
EMNLP 2025
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
ICLR 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
HTML: Hierarchical Topology Multi-task Learning for Semantic Parsing in Knowledge Base Question Answering
ACL 2025
RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning
EMNLP 2025
UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation
ICLR 2025
VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification
CVPR 2025
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment
AAAI 2024
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics
COLING 2024
Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation
Interspeech 2024
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition
NAACL 2024
Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment
ACL 2024
Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding
ACL 2024
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
EMNLP 2024
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval
Interspeech 2024
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection
EMNLP 2024
Exploiting Auxiliary Caption for Video Grounding
AAAI 2024
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory
EMNLP 2024
GPA: Global and Prototype Alignment for Audio-Text Retrieval
Interspeech 2024
InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment
COLING 2024
KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval
ECCV 2024
Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic
COLING 2024
Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System
EMNLP 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
EMNLP 2024
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
NeurIPS 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
EMNLP 2024
MoE-SLU: Towards ASR-Robust Spoken Language Understanding via Mixture-of-Experts
ACL 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
COLING 2024
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
MICCAI 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
EMNLP 2024
Textual Inversion and Self-supervised Refinement for Radiology Report Generation
MICCAI 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing
IJCAI 2024
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport
AAAI 2024
Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling
COLING 2024
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
EMNLP 2024
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?
EMNLP 2024
Zero-Shot Spoken Language Understanding via Large Language Models: A Preliminary Study
COLING 2024
Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation
EMNLP 2023
C²A-SLU: Cross and Contrastive Attention for Improving ASR Robustness in Spoken Language Understanding
Interspeech 2023
Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence
EMNLP 2023
FC-MTLF: A Fine- and Coarse-grained Multi-Task Learning Framework for Cross-Lingual Spoken Language Understanding
Interspeech 2023
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
ICCV 2023
GhostT5: Generate More Features with Cheap Operations to Improve Textless Spoken Question Answering
Interspeech 2023
MCLF: A Multi-grained Contrastive Learning Framework for ASR-robust Spoken Language Understanding
EMNLP 2023
Mix before Align: Towards Zero-shot Cross-lingual Sentiment Analysis via Soft-Mix and Multi-View Learning
Interspeech 2023
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
ACL 2023
MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling
EMNLP 2023
Syntax Matters: Towards Spoken Language Understanding via Syntax-Aware Attention
EMNLP 2023
Towards Unified Spoken Language Understanding Decoding via Label-aware Compact Linguistics Representations
ACL 2023
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation
ICCV 2023