Kun Zhu
14 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (38) ποΈ Keyword Collector (73)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Renaissance Researcher
(7)
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(8)
Machine Learning
(8)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(5)
Generation
(4)
Resources & Methods
(4)
Reinforcement Learning
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Applications
(2)
Architectures
(2)
Models
(2)
Keywords
large language model
(5)
mutual information
(2)
contrastive learning
(2)
multi-agent reinforcement learning
(2)
retrieval-augmented generation
(2)
representation learning
(2)
information bottleneck
(1)
text generation
(1)
text classification
(1)
document summarization
(1)
importance sampling
(1)
language modeling
(1)
text summarization
(1)
hierarchical clustering
(1)
chain-of-thought reasoning
(1)
time series
(1)
granger causality
(1)
direct preference optimization
(1)
deep learning
(1)
instruction following
(1)
Papers
Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
ACL 2026
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning
AAAI 2026
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
EMNLP 2025
From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
MICCAI 2025
InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating
ACL 2025
Learning Joint Behaviors with Large Variations
AAAI 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
ICLR 2025
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
ACL 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
ACL 2024
Discrete Modeling via Boundary Conditional Diffusion Processes
NeurIPS 2024
Learning Distinguishable Trajectory Representation with Contrastive Loss
NeurIPS 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
AAAI 2024
Hierarchical Catalogue Generation for Literature Review: A Benchmark
EMNLP 2023