Jingbo Shang
Professor
Mines structured knowledge from large text corpora with minimal supervision, including weakly supervised text classification and LLM-based information extraction.
Jingbo Shang's lab at UCSD works on knowledge, QA & retrieval, large language models and recognition, detection & segmentation. 110 papers since 2023, 59 at top venues, mostly Findings of EMNLP and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 29/ year
- at T1 venues
- 54%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 24 papers2026 · T1 18 · collecting
- 26 papers2025 · T1 18
- 30 papers2024 · T1 6
- 30 papers2023 · T1 17
T1 venuesOtherVenues: Findings of EMNLP, ICLR, NeurIPS, EMNLP, ACL
Research focuspaper titles that use each topic's words
- Large language models22 papers
- text8 papers
- Recognition, detection & segmentation6 papers
- Knowledge, QA & retrieval5 papers
- weakly2 papers
Paper list
From the lab homepage.
202624 papers
- NeurIPS (T1)AMPS: Adaptive Modality Preference Steering via Functional Entropy
- ICLR (T1)AutoCode: LLMs as Problem Setters for Competitive Programming
- ACL (T1)Bidirectional LMs are Better Knowledge Memorizers?
- COLMCocoaBench: Evaluating unified digital agents in the wild
- ICLR (T1)Codified Finite-state Machines for Role-playing
- ICML (T1)CoMem: Context Management with A Decoupled Long-Context Model
- ICLR (T1)Contamination Detection for VLMs Using Multi‑Modal Semantic Perturbations
- EMNLP (T1)DenseMixer: Improving MoE Post-Training via Precise Router Gradient
- ACL (T1)Deriving Character Logic from Storyline as Codified Decision Trees
- Findings of EMNLPEvaluating Harmful Memorization in LLM Code Generation
- COLMEvoLen: Evolution-Guided Tokenization for DNA Language Model
- ICML (T1)FrontierCS: Evolving Challenges for Evolving Intelligence
202526 papers
- COLMA Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
- Findings of EMNLPCan Language Models Follow Multiple Turns of Entangled Instructions?
- NeurIPS (T1)Codifying Character Logic in Role-Playing
- EMNLP (T1)CoMMIT: Coordinated Multimodal Instruction Tuning
- ICLR (T1)Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
- ACL (T1)Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM’s Nest
- ACL (T1)Direct Prompt Optimization with Continuous Representations
- NAACL (T1)Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
- Findings of EMNLPExplainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
- NeurIPS (T1)LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
- SenSys (T1)Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR
- Findings of EMNLPMitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
202430 papers
- —arXiv:2206.06661 (opens in a new tab)
- —arXiv:2402.01801 (opens in a new tab)
- —arXiv:2402.02658 (opens in a new tab)
- —arXiv:2402.03774 (opens in a new tab)
- —arXiv:2402.04624 (opens in a new tab)
- —arXiv:2402.09642 (opens in a new tab)
- —arXiv:2402.10430 (opens in a new tab)
- —arXiv:2402.14158 (opens in a new tab)
- —arXiv:2402.16906 (opens in a new tab)
- —arXiv:2403.20046 (opens in a new tab)
- —arXiv:2404.00457 (opens in a new tab)
- —arXiv:2404.07382 (opens in a new tab)
202330 papers
- Findings of ACLA Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches (opens in a new tab)
- Science (T1)A Comparative Atlas of Single-cell Chromatin Accessibility in the Human Brain
- —arXiv:2301.03462 (opens in a new tab)
- —arXiv:2305.12401 (opens in a new tab)
- —arxiv:2308.03685 (opens in a new tab)
- —arXiv:2311.01751 (opens in a new tab)
- —arXiv:2312.03291 (opens in a new tab)
- EMNLP (T1)ClusterLLM: Large Language Models as a Guide for Text Clustering
- Findings of ACLConcept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs (opens in a new tab)
- EMNLP (T1)Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
- EMNLP (T1)Goal-Driven Explainable Clustering via Language Descriptions
- ICML (T1)Gradient-based Wang–Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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