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Mingyu Jin

18 papers · 2024–2026 · 10 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.

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+5 more ↓ 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (12)
🌈 Renaissance Researcher (5) ❓ The Questioner ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (93)

Papers

SAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language Models EACL 2026 Data-centric NLP Backdoor Defense from the Lens of Memorization NAACL 2025 Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities ACL 2025 Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025 EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs NAACL 2025 Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? COLING 2025 Exploring Fine-Grained Human Motion Video Captioning COLING 2025 From Commands to Prompts: LLM-based Semantic File System for AIOS ICLR 2025 Invisible Backdoor Attack against Self-supervised Learning CVPR 2025 Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding ICML 2025 SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models EMNLP 2025 Visual Agents as Fast and Slow Thinkers ICLR 2025 Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis EMNLP 2024 BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis EMNLP 2024 Knowledge Graph Large Language Model (KG-LLM) for Link Prediction ACML 2024 MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024 The Impact of Reasoning Step Length on Large Language Models ACL 2024 TrustAgent: Towards Safe and Trustworthy LLM-based Agents EMNLP 2024