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Jingbo Shang

University of California, San Diego, Department of Computer Science and Engineering, CA, USA

52 papers at tracked venues · 32 at CORE A* · active 2024–2026

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Venues

ACL ×16EMNLP ×15ICLR ×7NeurIPS ×6NAACL ×4AAAI ×1ICML ×1IJCAI ×1WWW ×1

Frequent coauthors

Letian Peng
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Xintong Li
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Yufan Zhuang
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Junda Wu
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Zilong Wang
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Longfei Yun
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Feng Yao
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Chengyu Dong
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Xiyuan Zhang
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Dheeraj Mekala
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Yuwei Zhang
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Weizhi Zhang
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Papers

  1. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
    ACL 2026 ·
    Yuwei Zhang
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  2. Deriving Character Logic from Storyline as Codified Decision Trees
    ACL 2026 ·
    Letian Peng
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  3. PersonaAgent: Bridging Memory and Action for Personalized LLM Agents
    ACL 2026 ·
    Weizhi Zhang
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  4. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
    ACL 2026 ·
    Chuhan Wang
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  5. ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
    NAACL 2025 ·
    Yichuan Li
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  6. Can Language Models Follow Multiple Turns of Entangled Instructions?
    EMNLP 2025 ·
    Chi Han
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  7. CoMMIT: Coordinated Multimodal Instruction Tuning
    EMNLP 2025 ·
    Xintong Li
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  8. Codifying Character Logic in Role-Playing
    NeurIPS 2025 ·
    Letian Peng
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  9. Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
    ICLR 2025 ·
    Letian Peng
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  10. Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest
    ACL 2025 ·
    Letian Peng
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  11. Direct Prompt Optimization with Continuous Representations
    ACL 2025 ·
    Yangkun Wang
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  12. Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
    NAACL 2025 ·
    William Hogan
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  13. Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
    EMNLP 2025 ·
    Sheldon Yu
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  14. LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
    NeurIPS 2025 ·
    Zihan Zheng
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  15. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
    EMNLP 2025 ·
    Junda Wu
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  16. Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
    NeurIPS 2025 ·
    Yufan Zhuang
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  17. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
    ICLR 2025 ·
    Junda Wu
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  18. Self-Taught Agentic Long Context Understanding
    ACL 2025 ·
    Yufan Zhuang
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  19. Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
    ICLR 2025 ·
    Zilong Wang
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  20. The Price of Format: Diversity Collapse in LLMs
    EMNLP 2025 ·
    Longfei Yun
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  21. Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
    EMNLP 2025 ·
    Xintong Li
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  22. Train a Unified Multimodal Data Quality Classifier with Synthetic Data
    EMNLP 2025 ·
    Weizhi Wang
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  23. Training Language Models to Generate Quality Code with Program Analysis Feedback
    NeurIPS 2025 ·
    Feng Yao
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  24. ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation
    EMNLP 2025 ·
    Longfei Yun
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  25. Vector-ICL: In-context Learning with Continuous Vector Representations
    ICLR 2025 ·
    Yufan Zhuang
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  26. VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
    EMNLP 2025 ·
    Lesheng Jin
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  27. ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition
    AAAI 2025 ·
    Ranak Roy Chowdhury
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  28. Answer is All You Need: Instruction-following Text Embedding via Answering the Question
    ACL 2024 ·
    Letian Peng
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  29. Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
    ACL 2024 ·
    Xiaochen Gao
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  30. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning
    ACL 2024 ·
    Yongqi Tong
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  31. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
    ICLR 2024 ·
    Zilong Wang
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  32. Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
    ACL 2024 ·
    Letian Peng
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  33. DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering
    NAACL 2024 ·
    Alex Nguyen
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  34. Data Contamination Can Cross Language Barriers
    EMNLP 2024 ·
    Feng Yao
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  35. Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step
    ACL 2024 ·
    Li Zhong
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  36. Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
    ACL 2024 ·
    Shang Zhou
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  37. Fast-ELECTRA for Efficient Pre-training
    ICLR 2024 ·
    Chengyu Dong
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  38. How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments
    WWW 2024 ·
    Jiayun Zhang
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  39. Incubating Text Classifiers Following User Instruction with Nothing but LLM
    EMNLP 2024 ·
    Letian Peng
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  40. Large Language Models for Time Series: A Survey
    IJCAI 2024 ·
    Xiyuan Zhang
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  41. Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
    ACL 2024 ·
    Chenyang An
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  42. MEMORYLLM: Towards Self-Updatable Large Language Models
    ICML 2024 ·
    Yu Wang
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  43. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
    EMNLP 2024 ·
    Zihan Wang
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  44. Open-world Multi-label Text Classification with Extremely Weak Supervision
    EMNLP 2024 ·
    Xintong Li
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  45. Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
    NeurIPS 2024 ·
    Letian Peng
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  46. READ: Improving Relation Extraction from an ADversarial Perspective
    NAACL 2024 ·
    Dawei Li
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  47. Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models
    ACL 2024 ·
    Dheeraj Mekala
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  48. Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
    ACL 2024 ·
    Tao Zhang
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  49. TOOLVERIFIER: Generalization to New Tools via Self-Verification
    EMNLP 2024 ·
    Dheeraj Mekala
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  50. Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification
    EMNLP 2024 ·
    Letian Peng
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  51. Toward Student-oriented Teacher Network Training for Knowledge Distillation
    ICLR 2024 ·
    Chengyu Dong
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  52. UniMTS: Unified Pre-training for Motion Time Series
    NeurIPS 2024 ·
    Xiyuan Zhang
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