Shumin Deng
ZJU100 Young Professor
Researches NLP with LLM-based reasoning and planning, LLM agents, embodied AI and model steering.
Shumin Deng's lab at Zhejiang works on reasoning & agents and large language models. 48 papers since 2023, 37 at top venues, mostly EMNLP and ACL. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 77%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 14 papers2026 · T1 13 · collecting
- 14 papers2025 · T1 9
- 13 papers2024 · T1 8
- 7 papers2023 · T1 7
T1 venuesOtherVenues: EMNLP, ACL, ICLR, TASLP, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models23 papers
- Reasoning & agents11 papers
- llm3 papers
- llm agents1 paper
- llm-based1 paper
Paper list
From the lab homepage.
202614 papers
- EMNLP (T1)EM²Mem: Event-Centric Multimodal Memory for Large Language Models (opens in a new tab)
- EMNLP (T1)Exploring Autonomous Agentic Data Engineering for Model Specialization (opens in a new tab)
- ACL (T1)How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities (opens in a new tab)
- ACL (T1)Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency (opens in a new tab)
- ICLR (T1)InnoGym: Benchmarking the Innovation Potential of AI Agents (opens in a new tab)
- AAAI (Demo), .KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks (opens in a new tab)
- ICLR (T1)LightMem: Lightweight and Efficient Memory-Augmented Generation (opens in a new tab)
- WSDM (T1)LookAhead Tuning: Safer Language Models via Partial Answer Previews (opens in a new tab)
- EMNLP (T1)OceanGym: A Benchmark Environment for Underwater Embodied Agents (opens in a new tab)
- ACL (T1)StructMem: Structured Memory for Long-Horizon Behavior in LLMs (opens in a new tab)
- Nature Machine Intelligence (T1)Towards Principled Knowledge Editing Methods in Reasoning Era (opens in a new tab)
- ICLR (T1)VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents (opens in a new tab)
202514 papers
- EMNLP (T1)Automating Steering for Safe Multimodal Large Language Models (opens in a new tab)
- ACL (Oral).Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms (opens in a new tab)
- EMNLP (T1)CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners (opens in a new tab)
- COLING (T1)Decompose and Aggregate: A Step-by-Step Interpretable Evaluation Framework (opens in a new tab)
- EMNLP (T1)Exploring Model Kinship for Merging Large Language Models (opens in a new tab)
- ICML (T1)FlipAttack: Jailbreak LLMs via Flipping (opens in a new tab)
- A Chapter of the Handbook on Neurosymbolic AI and Knowledge GraphsFrom Certainty to Uncertainty in Knowledge: Exploring Modeling, Extraction, Representation, and Applications (opens in a new tab)
- ACL (T1)How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-training (opens in a new tab)
- NAACL WorkshopKnowAgent: Knowledge-Augmented Planning for LLM-Based Agents (opens in a new tab)
- ICLR (T1)MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation (opens in a new tab)
- WWW (Demo), .PhishIntel: Toward Practical Deployment of Reference-based Phishing Detection (opens in a new tab)
- ACL (T1)ReLearn: Unlearning via Learning for Large Language Models (opens in a new tab)
202413 papers
- NeurIPS (T1)Agent Planning with World Knowledge Model (opens in a new tab)
- ACL (T1)Detoxifying Large Language Models via Knowledge Editing (opens in a new tab)
- EMNLP (T1)Editing Conceptual Knowledge for Large Language Models (opens in a new tab)
- ACL ; ICLR Workshop on LLM Agents.Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View (opens in a new tab)
- ICKG .Information Extraction in Low-Resource Scenarios: Survey and Perspective (opens in a new tab)
- NeurIPS (T1)Knowledge Circuits in Pretrained Transformers (opens in a new tab)
- EMNLP (T1)Knowledge Mechanisms in Large Language Models: A Survey and Perspective (opens in a new tab)
- USENIX Security (T1)KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection (opens in a new tab)
- WWWJ, World Wide Web Journal, .LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities (opens in a new tab)
- LLM+KG@VLDB (Best Paper Award).OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System (opens in a new tab)
- TASLP (T1)Sequence Labeling as Non-autoregressive Dual-Query Set Generation (opens in a new tab)
- Natural Language Reasoning and Structured Explanations Workshop (NLRSE) at ACL .Towards A Unified View of Answer Calibration for Multi-Step Reasoning (opens in a new tab)
20237 papers
- ICDE (T1)Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph (opens in a new tab)
- EMNLP (T1)Editing Large Language Models: Problems, Methods, and Opportunities (opens in a new tab)
- TASLP (T1)LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training (opens in a new tab)
- ICLR (T1)Multimodal Analogical Reasoning Over Knowledge Graphs (opens in a new tab)
- ACL (T1)Reasoning with Language Model Prompting: A Survey (opens in a new tab)
- SIGIR (T1)Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction (opens in a new tab)
- ACL (T1)SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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