Jue Zhang
10 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
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Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI · Artificial Intelligence
(10)
Machine Learning
(5)
Natural Language Processing
(4)
Application Areas
(3)
Applications
(3)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Security & Privacy
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Keywords
large language model
(5)
token classification
(2)
prompt compression
(2)
contextual integrity
(2)
retrieval-augmented generation
(2)
chain-of-thought reasoning
(1)
model distillation
(1)
benchmark evaluation
(1)
multi-armed bandit
(1)
hyperparameter tuning
(1)
benchmark dataset
(1)
language model
(1)
multimodal large language model
(1)
mechanistic interpretability
(1)
domain adaptation
(1)
privacy leakage
(1)
information leakage
(1)
inference efficiency
(1)
multimodal learning
(1)
online learning
(1)
Papers
CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
ACL 2026
AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
ACL 2025
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
EMNLP 2025
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
EMNLP 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
EMNLP 2025
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
CVPR 2025
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
ACL 2025
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
EMNLP 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
ACL 2024
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
EMNLP 2023