Yiwei Wang
55 papers · 2020–2026 · 14 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (14) ๐ Academic Marathon (5) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Cross-Pollinator (10)
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Cross-Pollinator
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Renaissance Researcher
(11)
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Taxonomy Completionist
(86)
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Deep Specialist
(14)
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Dynamic Duo
(18)
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Grand Slam
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Topic Evolution
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Century Club
(49)
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Keyword Collector
(204)
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Unstoppable
(6)
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The Questioner
(6)
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Prolific Year
(5)
Conferences
EMNLP (16)
ACL (14)
NAACL (5)
ICLR (4)
NIPS (4)
AAAI (3)
COLING (2)
CONLL (1)
CVPR (1)
ECCV (1)
ICCV (1)
ICML (1)
IJCAI (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
large language model
(16)
retrieval-augmented generation
(5)
relation extraction
(5)
vision-language model
(4)
node classification
(3)
multimodal large language model
(3)
prompt engineering
(3)
graph neural network
(3)
causal inference
(3)
zero-shot learning
(3)
test-time scaling
(3)
language model
(3)
few-shot learning
(3)
link prediction
(2)
text classification
(2)
adversarial attack
(2)
visual reasoning
(2)
adversarial learning
(2)
information extraction
(2)
uncertainty quantification
(2)
Papers
Gated Differentiable Working Memory for Long-Context Language Modeling
ACL 2026
VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG
ACL 2026
Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models
ACL 2026
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026
Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents
ACL 2026
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
ACL 2026
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
ACL 2025
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
ICLR 2025
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
ACL 2025
Vulnerability of LLMs to Vertically Aligned Text Manipulations
ACL 2025
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
ACL 2025
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
ACL 2025
Context-DPO: Aligning Language Models for Context-Faithfulness
ACL 2025
DRS: Deep Question Reformulation With Structured Output
ACL 2025
Vulnerability of Text-to-Image Models to Prompt Template Stealing: A Differential Evolution Approach
ACL 2025
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
COLING 2025
โNot Alignedโ is Not โMaliciousโ: Being Careful about Hallucinations of Large Language Modelsโ Jailbreak
COLING 2025
Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety
NAACL 2025
Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack
NAACL 2025
CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning
MICCAI 2025
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
ICML 2025
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
ICLR 2025
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
EMNLP 2025
Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMs
EMNLP 2025
How to Make Large Language Models Generate 100% Valid Molecules?
EMNLP 2025
DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning
EMNLP 2025
SemVink: Advancing VLMsโ Semantic Understanding of Optical Illusions via Visual Global Thinking
EMNLP 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
EMNLP 2025
MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs
EMNLP 2025
Understanding GUI Agent Localization Biases through Logit Sharpness
EMNLP 2025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
ICLR 2025
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
EMNLP 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
NIPS 2024
LPNL: Scalable Link Prediction with Large Language Models
ACL 2024
SLANG: New Concept Comprehension of Large Language Models
EMNLP 2024
Control Large Language Models via Divide and Conquer
EMNLP 2024
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
EMNLP 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
How Fragile is Relation Extraction under Entity Replacements?
EMNLP 2023
How Fragile is Relation Extraction under Entity Replacements?
CONLL 2023
PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images
AAAI 2023
AirFormer: Predicting Nationwide Air Quality in China with Transformers
AAAI 2023
A Causal View of Entity Bias in (Large) Language Models
EMNLP 2023
Primacy Effect of ChatGPT
EMNLP 2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
NIPS 2023
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction
NAACL 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
NAACL 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks
NIPS 2021
Adaptive Data Augmentation on Temporal Graphs
NIPS 2021
Modeling Trajectories with Neural Ordinary Differential Equations
IJCAI 2021
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
CVPR 2021
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder
ICCV 2021
Learning Progressive Joint Propagation for Human Motion Prediction
ECCV 2020