Kai Lv
18 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (9)
🌍
Conference Polyglot
(6)
🤝
Dynamic Duo
(10)
🏆
Keyword Champion
💎
Century Club
(17)
📈
Trend Setter
⚡
Prolific Year
(8)
🗃️
Keyword Collector
(99)
🔥
Unstoppable
(5)
Conferences
AAAI (5)
ACL (5)
EMNLP (3)
IJCAI (3)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
multi-agent reinforcement learning
(3)
language model
(3)
language model training
(2)
visual reinforcement learning
(2)
data quality
(2)
multi-task learning
(1)
sample efficiency
(1)
contrastive learning
(1)
constrained reinforcement learning
(1)
in-context learning
(1)
text generation
(1)
sampling strategy
(1)
text complexity
(1)
catastrophic forgetting
(1)
spatio-temporal modeling
(1)
matrix factorization
(1)
dynamic routing
(1)
efficient computing
(1)
neural text generation
(1)
Papers
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution
AAAI 2026
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification
AAAI 2025
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
AAAI 2025
CritiQ: Mining Data Quality Criteria from Human Preferences
ACL 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
EMNLP 2025
ReAttention: Training-Free Infinite Context with Finite Attention Scope
ICLR 2025
Continuous Diffusive Prediction Network for Multi-Station Weather Prediction
IJCAI 2025
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination
IJCAI 2025
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction
AAAI 2024
How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective
IJCAI 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources
ACL 2024
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
ACL 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
AAAI 2024
LongWanjuan: Towards Systematic Measurement for Long Text Quality
EMNLP 2024
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
EMNLP 2023
Unified Demonstration Retriever for In-Context Learning
ACL 2023
CoNT: Contrastive Neural Text Generation
NIPS 2022