Yuji Zhang
14 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (7)
🏃
Academic Marathon
(5)
🐝
Cross-Pollinator
(7)
🧬
Topic Evolution
🗃️
Keyword Collector
(61)
💎
Century Club
(12)
⚡
Prolific Year
(6)
Conferences
EMNLP (6)
ACL (5)
AAAI (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(4)
text generation
(4)
text classification
(2)
multi-agent system
(2)
decoding strategy
(2)
question generation
(2)
latent topic discovery
(2)
tool use
(2)
knowledge overshadowing
(2)
dual decoder
(2)
log-linear law
(2)
social media
(2)
fine-grained classification
(1)
working memory
(1)
knowledge editing
(1)
factual knowledge
(1)
multi-label classification
(1)
puzzle solving
(1)
sentiment analysis
(1)
language model
(1)
Papers
Current Agents Fail to Leverage World Model as Tool for Foresight
ACL 2026
ShortageSim: Simulating Drug Shortages Under Information Asymmetry
AAAI 2026
The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination
ACL 2025
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
ACL 2025
Integrative Decoding: Improving Factuality via Implicit Self-consistency
ICLR 2025
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
EMNLP 2025
SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals
EMNLP 2025
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents
ACL 2025
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation
EMNLP 2024
VIBE: Topic-Driven Temporal Adaptation for Twitter Classification
EMNLP 2023
Engage the Public: Poll Question Generation for Social Media Posts
ACL 2021
Engage the Public: Poll Question Generation for Social Media Posts
IJCNLP 2021
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention
EMNLP 2021
Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics
EMNLP 2020