Zecheng Tang
17 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (26) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer
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Keyword Pioneer
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Dynamic Duo
(12)
🗃️
Keyword Collector
(51)
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The Questioner
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Prolific Year
(7)
💎
Century Club
(14)
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Unstoppable
(5)
Conferences
ACL (7)
ICLR (3)
ICML (3)
EMNLP (2)
AAAI (1)
CVPR (1)
Top co-authors
Research topics
Keywords
language model
(3)
attention mechanism
(1)
autoregressive model
(1)
chain-of-thought reasoning
(1)
text generation
(1)
masked language model
(1)
model architecture
(1)
cross-modal transfer
(1)
machine reading comprehension
(1)
instruction tuning
(1)
parameter efficient
(1)
concept graphs
(1)
state space model
(1)
diffusion model
(1)
preference alignment
(1)
zero-shot learning
(1)
image watermarking
(1)
generative ai
(1)
copyright protection
(1)
continual learning
(1)
Papers
DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward
ACL 2026
CGMIS: Concept-Graph Based Multi-Hop Instructions Synthesis for Enhancing Long-Context Reasoning
AAAI 2026
IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking
ACL 2026
Improving Rationality in the Reasoning Process of Language Models through Self-playing Game
ICML 2025
Revealing and Mitigating the Local Pattern Shortcuts of Mamba
ACL 2025
OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking
CVPR 2025
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
ICLR 2025
Revealing and Mitigating Over-Attention in Knowledge Editing
ICLR 2025
L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models
ACL 2025
LOGO — Long cOntext aliGnment via efficient preference Optimization
ICML 2025
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
ICLR 2024
Rethinking Negative Instances for Generative Named Entity Recognition
ACL 2024
CMD: a framework for Context-aware Model self-Detoxification
EMNLP 2024
StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis
ICML 2024
Open-ended Long Text Generation via Masked Language Modeling
ACL 2023
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !
ACL 2023
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change
EMNLP 2022